What are the main differences between Botpress and Glean?

Botpress excels in Visual drag-and-drop builder with extensive code extensibility via Execute Code cards and Massive scale validation: 750,000+ active bots, 1 billion+ messages processed, scoring 85/100 in user ratings with N/A% accuracy. Glean leads in Permissions-aware AI is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern and Strong developer experience - comprehensive APIs, 4-language SDKs (Python, Java, Go, TypeScript), LangChain integration with 96/100 overall rating and 90% accuracy. Key technical difference: Botpress focuses on Visual node-based flow builder with drag-and-drop conversation design while Glean emphasizes Permissions-aware AI with real-time access control enforcement. Pricing differs by $50/month.

Which is better for enterprises: Botpress or Glean?

Glean offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Glean. For scalability, both offer cloud-based deployment options. Glean leads with 96/100 enterprise readiness score (98/100 enterprise features).

How much does Botpress cost vs Glean?

Botpress starts at custom pricing/monthly (freemium model), while Glean begins at $50/monthly (enterprise model). Botpress offers a free tier, and free trials are available. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Botpress to Glean?

Migration from Botpress to Glean typically requires API-based data export/import, which Glean provides. Glean provides comprehensive API access excellent documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Glean support for migration assistance and best practices.

What integrations do Botpress and Glean support?

Botpress integrates with Native channels: WhatsApp, Slack, Microsoft Teams, Telegram, Messenger, Instagram, SMS: Twilio, Vonage integrations, Web: JavaScript widget, React components, React Native SDK for mobile, CRM: Salesforce (lead CRUD, sandbox support), HubSpot (contacts, deals, tickets), Zendesk, Pipedrive, Webhook support with unique URL, x-bp-secret authentication, CORS configuration (9 integrations total). Glean supports Cloud Storage: Google Drive, SharePoint, OneDrive, Dropbox, Box, Communication: Slack (full bot support), Microsoft Teams, Gmail, Outlook, Zoom, Collaboration: Confluence, Notion, Jira, GitHub, GitLab, Miro, CRM/Support: Salesforce, ServiceNow, Zendesk, Identity: Okta, Microsoft Entra ID, Google Workspace, OneLogin (8 integrations available). Both offer REST APIs for custom integrations. Botpress offers 13% more integrations, with webhook support for real-time data sync.

What are the main differences between Botpress and Glean?

Botpress offers strong capabilities, scoring 0/100 in user ratings. Glean provides unique strengths with 0/100 overall rating. Key technical difference: Botpress focuses on advanced features while Glean emphasizes specialized capabilities.

Which is better for enterprises: Botpress or Glean?

Both platforms provide enterprise-grade security. HIPAA compliance varies - contact vendors for details. For scalability, both offer cloud-based deployment options. Glean leads with strong/100 enterprise readiness score.

How much does Botpress cost vs Glean?

Botpress starts at custom pricing/month (subscription model), while Glean begins at contact sales/month (subscription model). Both require paid plans. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from Botpress to Glean?

Migration from Botpress to Glean typically requires manual data transfer since API access may be limited. Glean offers standard documentation for the migration process. Estimated migration time: 1-2 days for cloud setup. Contact Glean support for migration assistance and best practices.

What integrations do Botpress and Glean support?

Botpress integrates with (multiple platforms). Glean supports (various tools). API availability varies by plan. Integration coverage is comparable.

Botpress vs Glean

Make an informed decision with our comprehensive comparison. Discover which RAG solution perfectly fits your needs.

More about Glean More about Botpress Get Started Today

Priyansh KhodiyarDevRel at CustomGPT.ai

Fact checked and reviewed by Bill Cava

Published: 01.04.2025Updated: 25.04.2025

In this comprehensive guide, we compare Botpress and Glean across various parameters including features, pricing, performance, and customer support to help you make the best decision for your business needs.

Overview

When choosing between Botpress and Glean, understanding their unique strengths and architectural differences is crucial for making an informed decision. Both platforms serve the RAG (Retrieval-Augmented Generation) space but cater to different use cases and organizational needs.

Quick Decision Guide

Choose Botpress if: you value visual drag-and-drop builder with extensive code extensibility via execute code cards
Choose Glean if: you value permissions-aware ai is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern

About Botpress

Botpress is enterprise ai agent platform with visual bot building and omnichannel deployment. Enterprise AI agent platform with visual bot building, omnichannel deployment, and RAG capabilities. 750,000+ active bots processing 1 billion+ messages with extensive channel support and no-code/low-code development. Founded in 2016, headquartered in Montreal, Quebec, Canada, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

85/100

Starting Price

Custom

About Glean

Glean is enterprise work ai with permissions-aware rag across 100+ apps. Glean is a premium enterprise RAG platform with permissions-aware AI as its core differentiator. Founded by ex-Google Search engineers, Glean achieved $100M ARR in three years and a $7.2B valuation (2025). It connects 100+ enterprise apps with real-time access controls, supports 15+ LLMs, and offers comprehensive APIs with 4-language SDKs. Trade-offs: enterprise-only sales (~$50/user/month, ~$60K minimum), no consumer messaging channels, and premium positioning over plug-and-play simplicity. Founded in 2019, headquartered in Palo Alto, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

96/100

Starting Price

$50/mo

Key Differences at a Glance

In terms of user ratings, Glean in overall satisfaction. From a cost perspective, Botpress starts at a lower price point. The platforms also differ in their primary focus: Chatbot Platform versus Enterprise RAG. These differences make each platform better suited for specific use cases and organizational requirements.

⚠️ What This Comparison Covers

We'll analyze features, pricing, performance benchmarks, security compliance, integration capabilities, and real-world use cases to help you determine which platform best fits your organization's needs. All data is independently verified from official documentation and third-party review platforms.

Detailed Feature Comparison

Botpress	Glean	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Supported Formats: PDF, Word (DOC/DOCX), HTML, TXT, Markdown files via Studio UI and Files API Website Crawling: Firecrawl integration for HTML-to-Markdown conversion with automatic sitemap detection Real-Time Search: "Search The Web" feature using Bing API for queries when sitemaps unavailable Cloud Integrations: Google Drive (OAuth sync with file upload/download triggers), Notion (database queries, page management) Missing Integrations: No native Dropbox or Salesforce document ingestion YouTube Limitation: No transcript ingestion support - requires manual transcription and text upload (Apify workaround exists but manual) Automatic Retraining: Website sources sync regularly, file uploads managed dynamically through Files API Vector Storage Limits: 100MB (free), 1GB (Plus/$89), 2GB (Team/$495), custom (Enterprise) File Management: Replacing files automatically removes old content and indexes new content without downtime	100+ native connectors covering major enterprise categories Cloud Storage: Google Drive, SharePoint, OneDrive, Dropbox, Box Communication: Slack, Microsoft Teams, Gmail, Outlook, Zoom Collaboration: Confluence, Notion, Jira, GitHub, GitLab, Miro CRM/Support: Salesforce, ServiceNow, Zendesk Custom sources: Indexing API for proprietary systems, web crawling for internal sites File formats: PDFs, Word documents, HTML, spreadsheets, structured data Note: Video/YouTube ingestion not explicitly documented as core capability Real-time sync: Content appears within minutes via API, permission changes reflect immediately Initial indexing: Few days depending on data volume Scale: 10,000-100,000 users managing hundreds of millions of documents Metadata ingestion: Content, metadata, identity data, permissions, activity signals Indexing API: 10 requests/second for bulk operations, ProcessAll limited to once per 3 hours	Lets you ingest more than 1,400 file formats—PDF, DOCX, TXT, Markdown, HTML, and many more—via simple drag-and-drop or API. Crawls entire sites through sitemaps and URLs, automatically indexing public help-desk articles, FAQs, and docs. Turns multimedia into text on the fly: YouTube videos, podcasts, and other media are auto-transcribed with built-in OCR and speech-to-text. View Transcription Guide Connects to Google Drive, SharePoint, Notion, Confluence, HubSpot, and more through API connectors or Zapier. See Zapier Connectors Supports both manual uploads and auto-sync retraining, so your knowledge base always stays up to date.
Integrations & Channels
Native Channels: WhatsApp (Meta Business API), Slack (OAuth + Bot Framework), Microsoft Teams (Azure portal), Telegram (BotFather), Messenger, Instagram SMS Support: Twilio and Vonage integrations for text messaging Web Widget: JavaScript widget (recommended), DOM element mounting, full React component library for SPAs Mobile Integration: React Native SDK (BpWidget, BpIncomingMessagesListener) for iOS/Android cross-platform support Webhook Support: Unique webhook URL per bot with optional x-bp-secret header authentication and CORS configuration Automation Platforms: Zapier integration (partially in beta - some features require manual activation) CRM Integrations: Salesforce (lead CRUD, sandbox support), HubSpot (contacts, deals, tickets), Zendesk, Pipedrive Custom Integrations: TypeScript SDK with structured development flow (integration.definition.ts → index.ts → CLI deployment) Hub Marketplace: 100+ pre-built integrations and extensions from community and official sources	Slack: Official Marketplace app, Gleanbot auto-responses, Real-Time Search API Microsoft Teams: Native Teams app and agent integration Zoom: Custom AI Companion integration No WhatsApp: No native integration No Telegram: No native integration No Zapier: No native integration (different product "Glean.ly" exists) Browser extensions: Chrome (300K+ users), Firefox, Safari, Edge with sidebar search, Command+J access Web SDK embedding: Components for chat, search, autocomplete, recommendations MCP Server: Single server URL enables integration with multiple AI assistants Identity providers: Okta, Microsoft Entra ID, Google Workspace, OneLogin, Shibboleth, ADFS, Duo, Ping Federate SSO protocols: OIDC (strongly recommended), SAML 2.0	Embeds easily—a lightweight script or iframe drops the chat widget into any website or mobile app. Offers ready-made hooks for Slack, Zendesk, Confluence, YouTube, Sharepoint, 100+ more. Explore API Integrations Connects with 5,000+ apps via Zapier and webhooks to automate your workflows. Supports secure deployments with domain allowlisting and a ChatGPT Plugin for private use cases. Hosted CustomGPT.ai offers hosted MCP Server with support for Claude Web, Claude Desktop, Cursor, ChatGPT, Windsurf, Trae, etc. Read more here. Supports OpenAI API Endpoint compatibility. Read more here.
Core Agent Features
Conversational AI: Multi-turn dialogue with context retention across conversation sessions Multi-Lingual: 100+ languages supported via Translator Agent with automatic translation Knowledge Base Integration: RAG-powered answers grounded in uploaded documents and websites Policy Agent: Customizable guardrails filtering outputs against defined policies for brand safety Knowledge Agent: Structured retrieval before generation to reduce hallucinations HITL Agent: Human-in-the-loop takeover when bot cannot answer (requires Team plan $495/month) Personality Agent: Rewrites all bot messages to match defined persona (friendly, professional, casual, custom) Autonomous Nodes: LLM decides which actions to execute based on conversation context Performance Claims: "Zero hallucinations in 100,000 conversations" for health coaching client, 65% ticket deflection (no RAGAS scores or latency benchmarks published)	Autonomous AI agents: Agents use AI to understand tasks and take action on behalf of users from answering questions and retrieving information to executing work autonomously Natural language agent builder: Build agents by describing desired output in simple natural language - Glean understands goal and designs complex multi-step workflows Agentic reasoning engine: LLM-agnostic engine enables agents to go beyond retrieval and generation - powers sophisticated automation and decision-making by understanding outcomes, building multi-step plans, and using action library 100+ native actions: Supports 100+ new native actions across Slack, Microsoft Teams, Salesforce, Jira, GitHub, Google Workspace and other applications MCP host support: Gives agents dramatically larger surface area to operate across enterprise applications Human-in-the-loop design: Agents can autonomously do work end-to-end with human review checkpoints - process customer support tickets, conduct research, prepare responses for employee review before execution Vibe coding: Upgraded builder makes agent creation as simple as chatting - anyone (not just developers) can create and refine agents without understanding or interacting with code Grounded in enterprise data: Autonomous agents grounded in most relevant authoritative information for confident work automation Automatic agent triggering: Orchestrates agents automatically based on schedules or events and surfaces agent recommendations across enterprise Visual and conversational workflow design: Turn ideas into structured workflows using simple natural language prompts or visual builder	Custom AI Agents: Build autonomous agents powered by GPT-4 and Claude that can perform tasks independently and make real-time decisions based on business knowledge Decision-Support Capabilities: AI agents analyze proprietary data to provide insights, recommendations, and actionable responses specific to your business domain Multi-Agent Systems: Deploy multiple specialized AI agents that can collaborate and optimize workflows in areas like customer support, sales, and internal knowledge management Memory & Context Management: Agents maintain conversation history and persistent context for coherent multi-turn interactions View Agent Documentation Tool Integration: Agents can trigger actions, integrate with external APIs via webhooks, and connect to 5,000+ apps through Zapier for automated workflows Hyper-Accurate Responses: Leverages advanced RAG technology and retrieval mechanisms to deliver context-aware, citation-backed responses grounded in your knowledge base Continuous Learning: Agents improve over time through automatic re-indexing of knowledge sources and integration of new data without manual retraining
Customization & Branding
Webchat Customization: Full CSS override via external stylesheet URL, custom colors/fonts/button styles/chat bubbles Branding Control: Custom bot name and avatar, proactive greeting messages via JavaScript, configurable placement and sizing White-Labeling: Remove "Powered by Botpress" watermark (requires Plus plan $89/month minimum) Personality Configuration: Personality Agent defines bot persona with variable expressions for dynamic context Persona Disable: Can be disabled at node level for specific interactions requiring different tone Backend Branding: Admin dashboard remains Botpress-branded (no full white-label backend) Multi-Tenant Limitation: No agency dashboard for managing multiple client bots under one interface Real-Time Updates: Knowledge sources update via Files API without bot republishing for Table-based sources Versioning Gap: No native versioning system - file replacement is manual with external version control required for rollback	UI customization: Custom logos (wordmark + symbol), color schemes, background images Home page: Configurable widgets and quick actions Welcome messages and feature toggles Custom subdomains: your-company.glean.com Note: Complete white-labeling not documented - Glean branding may remain Chat widget styling: CSS positioning, width/height, custom containers Theme customization: Colors, borders, shadows Domain restrictions, SSO enforcement, channel-specific response controls Server-to-server auth: Enables SSO bypass when needed	Fully white-labels the widget—colors, logos, icons, CSS, everything can match your brand. White-label Options Provides a no-code dashboard to set welcome messages, bot names, and visual themes. Lets you shape the AI’s persona and tone using pre-prompts and system instructions. Uses domain allowlisting to ensure the chatbot appears only on approved sites.
L L M Model Options
Native Support: OpenAI models only - GPT-4o, GPT-4o mini, GPT-4 Turbo In-Studio Presets: Two options - "Best Model" and "Fast Model" for quick selection Alternative LLMs: Claude, Gemini, DeepSeek, LLaMA accessible via custom integrations or Execute Code cards with external API calls No Automatic Routing: Deliberately avoided for "concerns about unpredictability and latency" - users manually select models per task BYOK Limitation: Not natively supported - workaround involves storing API keys in Configuration Variables and Axios calls through Execute Code cards AI Spend Pricing: Charged at-cost with no Botpress markup on OpenAI tokens LLMz Engine: Proprietary inference layer with claimed improvements - better tool calling, token efficiency, TypeScript type definitions, V8 isolate execution No Fine-Tuning: RAG recommended as primary approach, supplemented by "learnings" system providing relevant examples at prompt-time	Model Hub supports 15+ LLMs across multiple hosting providers OpenAI: GPT-3.5, GPT-4 Azure OpenAI: GPT models Google Vertex AI: Gemini 1.5 Pro Amazon Bedrock: Claude 3 Sonnet Per-step model selection: Different LLMs for each workflow step Temperature controls: Factual, balanced, or creative output settings Model tiers: Basic, Standard, Premium (premium consumes FlexCredits on Enterprise Flex) Two access options: Glean Universal Key (managed) or Customer Key (BYOK) Zero data retention: Customer data never used for model training Automatic model updates: Deprecated models replaced with latest versions Automatic routing: Optimizes using best-in-class models per query type	Taps into top models—OpenAI’s GPT-5.1 series, GPT-4 series, and even Anthropic’s Claude for enterprise needs (4.5 opus and sonnet, etc ). Automatically balances cost and performance by picking the right model for each request. Model Selection Details Uses proprietary prompt engineering and retrieval tweaks to return high-quality, citation-backed answers. Handles all model management behind the scenes—no extra API keys or fine-tuning steps for you.
Developer Experience ( A P I & S D Ks)
API Architecture: REST-only (no GraphQL) with base URL https://api.botpress.cloud/v1/ Core APIs: Runtime (messages/events), Tables (database operations), Files (uploads), Admin (workspace management) Official Packages: TypeScript-exclusive - @botpress/sdk (v4.15.6, ~2,141 weekly downloads), @botpress/client (HTTP client), @botpress/cli (development/deployment) No Python SDK: Significant limitation for data science teams - other languages must use direct REST API access Authentication: Three token types - Personal Access Token (PAT) for full access, Bot Access Key (BAK) for runtime, Integration Access Key (IAK) for integration-specific actions Rate Limits: Exist but specifics not publicly documented - Studio limits lower than production bot limits (acknowledged by staff) Documentation: Well-organized at botpress.com/docs with API references, video tutorials, "Ask AI" feature Training Resources: Botpress Academy offers free courses Documentation Gaps: Undocumented rate limits, sparse BYOK documentation, broken platform limits page (404 error)	Client API: Search, Chat, Agents, Documents, Collections, Answers, Shortcuts, Insights, Governance Indexing API: Document operations, People/Teams, Permissions management Official SDKs: Python (pip install glean), Java (Maven), Go, TypeScript Web SDK: @gleanwork/web-sdk for embeddable components (chat, search, autocomplete, recommendations) Python features: Async support, FastAPI/Django/Streamlit integrations Java features: POJOs, fluent builders, Reactive Streams Go features: Context-based, standard net/http Authentication: OAuth 2.0 (recommended), user-scoped tokens, global tokens with X-Glean-ActAs impersonation Indexing API auth: Glean-issued tokens only (OAuth not supported, Super Admin creation only) Rate limits: Agent Runs 30/min, /indexdocument 10/sec, /processalldocuments once per 3 hours Framework integrations: LangChain (langchain-glean), Agent Toolkit (OpenAI Assistants, CrewAI, Google ADK) MCP Server: 5-minute setup for Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT Pre-built tools: glean_search, employee_search, calendar_search, gmail_search, code_search Documentation: Excellent at developers.glean.com with OpenAPI specs, CodeSandbox demos GitHub: github.com/gleanwork with SDK repositories and examples	Ships a well-documented REST API for creating agents, managing projects, ingesting data, and querying chat. API Documentation Offers open-source SDKs—like the Python `customgpt-client`—plus Postman collections to speed integration. Open-Source SDK Backs you up with cookbooks, code samples, and step-by-step guides for every skill level.
Performance & Accuracy
RAG Architecture: Standard pipeline - upload → standardization → semantic chunking → embedding → vector storage → retrieval → generation Semantic Chunking: Breaks documents by topic/meaning rather than fixed character counts for better context preservation Search API: contextDepth parameter (default: 0) prepends/appends surrounding context to matching passages Scoped Search: Tag-based filtering for targeted retrieval (limit: 50 results max) Multi-Layer Hallucination Prevention: RAG grounding + Policy Agent guardrails + Knowledge Agent structured retrieval + HITL human takeover Performance Claims: "Zero hallucinations in 100,000 conversations" (one health coaching client), 65% ticket deflection Benchmark Gap: No published RAGAS scores, latency measurements, or third-party validation Scale Validation: 750,000+ active bots and 1 billion+ messages processed provide real-world proof of production reliability LLMz Optimizations: Proprietary engine claims improved tool calling and token efficiency over standard OpenAI implementations	74% human-agreement rate on AI Evaluator benchmarks 25% precision increases reported in customer case studies 20% response time decreases documented 141% ROI over 3 years (Forrester Total Economic Impact study) $15.6M NPV for composite organizations 110 hours saved per employee annually AI Evaluator metrics: Context relevance, recall, answer relevance, completeness, groundedness Hallucination prevention: RAG grounding, permission-aware retrieval, citation/source attribution Note: Uptime SLA not publicly disclosed	Delivers sub-second replies with an optimized pipeline—efficient vector search, smart chunking, and caching. Independent tests rate median answer accuracy at 5/5—outpacing many alternatives. Benchmark Results Always cites sources so users can verify facts on the spot. Maintains speed and accuracy even for massive knowledge bases with tens of millions of words.
Customization & Flexibility
Real-Time Knowledge Updates: Files API enables adding/removing content anytime without bot downtime Website Sync: Automatic crawling and re-indexing of connected websites on regular schedules Personality Customization: Personality Agent defines consistent tone (friendly, professional, casual) with variable expressions Node-Level Control: Disable Personality Agent for specific interactions requiring different behavior Policy Agent Configuration: Define custom guardrails filtering outputs for brand safety and compliance Execute Code Cards: Full TypeScript code execution within bot flows for unlimited custom logic Autonomous Node Behavior: LLM-driven decision-making for which actions to execute in conversation Versioning Limitation: No native rollback system - requires external version control and manual file replacement Tables Feature: Structured data management for dynamic content and business logic integration	N/A	N/A
Pricing & Scalability
Pay-as-you-go: $0/month + AI Spend, 500 messages, 100MB vector storage, 1 bot, 1 collaborator, $5 AI credit included Plus Plan: $89/month + AI Spend, 5,000 messages, 1GB vector storage, white-label, HITL, live chat support Team Plan: $495/month + AI Spend, 50,000 messages, 2GB vector storage, RBAC, collaboration, 3 bots, custom analytics Enterprise Plan: ~$2,000+/month custom pricing, unlimited messages/storage, SSO, SLA, dedicated manager AI Spend Unpredictability: Token consumption varies significantly with conversation length and tool usage Spending Caps: $100/month (Plus), $500/month (Team), custom (Enterprise) to control costs Overage Pricing: $20 per 5,000 messages, $20/GB vector storage, $10/bot/month Always Alive feature Third-Party Costs: WhatsApp, SMS, voice integrations incur separate Meta/Twilio fees beyond Botpress pricing Enterprise Contracts: May require multi-year commitments (3-year mentioned in reviews)	Note: No public pricing - enterprise sales only Estimated cost: ~$45-50+ per user/month Minimum ACV: ~$60K (approximately 100 users minimum) Model: Per-seat, annual contracts Free trial: Not available; paid POCs reportedly up to $70K Renewal increases: 7-12% annually unless caps negotiated FlexCredits: For premium LLM usage on Enterprise Flex plan Support tiers: Standard (24x5, included), Premium (24x7 critical, additional fee) Dedicated CSMs: Assigned to enterprise accounts with regular business reviews	Runs on straightforward subscriptions: Standard (~$99/mo), Premium (~$449/mo), and customizable Enterprise plans. Gives generous limits—Standard covers up to 60 million words per bot, Premium up to 300 million—all at flat monthly rates. View Pricing Handles scaling for you: the managed cloud infra auto-scales with demand, keeping things fast and available.
Security & Privacy
SOC 2 Type 2: Certification in progress but not yet completed - critical gap for enterprise compliance GDPR: Compliance claimed but no EU data residency available (all data processed/stored in US) HIPAA: Not compliant - blocks healthcare use cases requiring protected health information ISO 27001: Not certified Data Residency: All data processed and stored in United States only - EU hosting "on roadmap" but not available SSO Support: OAuth2 with Google, GitHub, Azure (Enterprise plan) RBAC: Role-based access control available on Team tier ($495/month) and above SCIM: User provisioning available on Enterprise plan only Audit Logs: Enterprise plan includes comprehensive activity logging Penetration Testing: KPMG-conducted security assessments Compliance Monitoring: Drata monitors GDPR compliance controls Data Retention: Automatic deletion of personal log data, API endpoints for GDPR "right to be forgotten" Training Privacy: Conversation data not used to train Botpress or third-party models	Yes SOC 2 Type II (annual audits) Yes ISO 27001 Yes HIPAA compliant Yes GDPR compliant Yes TX-RAMP Level 2 Note: No FedRAMP certification AES-256 encryption at rest, TLS 1.2+ in transit Single-tenant infrastructure Zero data retention for LLMs - customer data never used for training Cloud-Prem deployment: Customer-hosted in AWS or GCP for full data residency control Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A) Customizable policies, auto-hide for sensitive content Governance API for programmatic control	Protects data in transit with SSL/TLS and at rest with 256-bit AES encryption. Holds SOC 2 Type II certification and complies with GDPR, so your data stays isolated and private. Security Certifications Offers fine-grained access controls—RBAC, two-factor auth, and SSO integration—so only the right people get in.
Observability & Monitoring
Pre-Configured Dashboard: Monthly users (total/new/returning), session counts, messages per session, 3-month trend overviews Custom Analytics: Event tracking and custom boards require Team plan ($495/month) Real-Time Monitoring: Live conversation feed in Conversations tab, runtime error visibility in Bot Dashboard Usage Alerts: Notifications at 80% and 100% usage limit thresholds AI Spend Tracking: Real-time cost monitoring with configurable spending caps Conversation Logs: Accessible in Studio (development) and Dashboard (production) with expandable details and JSON payload viewers Debugger: Step-by-step debugging (cmd/ctrl + j) with custom console.log() support in Code Cards LLM Performance Metrics: Model speed comparison, error rates per model, token generation rates, AI spend per model API Export: External BI tool integration (Tableau, Google Analytics) Third-Party Analytics: Hooks for Mixpanel, Hotjar, Segment, Amplitude integration	Insights Dashboard: DAU/WAU/MAU metrics, Search Session Satisfaction (SSAT) Usage metrics: Searches and chats per user per week Department-level filtering with 270-day data retention Coverage metrics: Signups/employees percentage Search behavior analysis: Popular queries, patterns Content engagement metrics Insights API: POST /rest/api/v1/insights for programmatic access Comprehensive audit logging: User activity, access patterns, permission changes, LLM responses SIEM export capability	Comes with a real-time analytics dashboard tracking query volumes, token usage, and indexing status. Lets you export logs and metrics via API to plug into third-party monitoring or BI tools. Analytics API Provides detailed insights for troubleshooting and ongoing optimization.
Support & Ecosystem
Free Plan Support: Community only - Discord (31,000+ members), documentation, forums Plus Plan Support: Live chat with Botpress engineers ($89/month) Team Plan Support: Advanced support + solution engineering ($495/month) Enterprise Support: Named support manager, SLA-backed response times (~$2,000+/month) Discord Community: 31,000+ highly active members with daily discussions, feature requests, troubleshooting Community Reputation: Users praise as "hands down the best Discord experience I have had" Enterprise SLA: 99.8% uptime guarantee with service credits (5-25% depending on severity) Response Time SLAs: 2 business days (standard Level 1) to 2 hours (premium Level 1) Service Credit Cap: Maximum monthly credit 50% of charges Excused Downtime: Includes OpenAI unavailability (notable caveat for external dependency) Training Resources: Botpress Academy with free courses, video tutorials, documentation at botpress.com/docs Support Limitation: Non-Enterprise users lack formal ticketing system, may wait for engineers on complex issues	Standard support: 24x5 (Mon-Fri) via portal, email, Slack Connect Premium support: 24x7 (critical only) with additional fee Dedicated CSMs: Enterprise accounts with hands-on onboarding Documentation: Excellent at developers.glean.com GitHub repositories: SDK examples and sample projects Regular business reviews for enterprise customers	Supplies rich docs, tutorials, cookbooks, and FAQs to get you started fast. Developer Docs Offers quick email and in-app chat support—Premium and Enterprise plans add dedicated managers and faster SLAs. Enterprise Solutions Benefits from an active user community plus integrations through Zapier and GitHub resources.
No- Code Interface & Usability
Visual Flow Builder: Node-based canvas with drag-and-drop conversation design Action Cards: Text, Capture Information, Execute Code, AI Task, Knowledge Base, Integration actions Autonomous Nodes: LLM decides action execution without manual flow definition Knowledge Base UI: Drag-and-drop file upload (PDFs, documents), URL ingestion with automatic crawling, text input for manual content Tables Feature: Visual structured data management without code Visual Indexing: Available on Plus plan and above for knowledge base content organization Pre-Built Templates: Recipe Bot, Recruitment Bot, Customer Support, Cinema Booking, AI Dungeon Master (~8 official templates + community contributions) Template Customization: Predefined flows, knowledge bases, responses with full customization after import Collaboration: Collaborator limits - 1 (free), 2 (Plus), 3 (Team), custom (Enterprise). Real-time simultaneous editing on Team plans RBAC Requirement: Role-based access control requires Team plan ($495/month) - expensive for small teams Code Extensibility: Execute Code cards allow TypeScript for advanced customization without leaving visual interface	Natural language agent configuration: Describe goals in plain language Visual builder: Drag-and-drop workflow creation AI-assisted creation: Glean suggests starting points and auto-generates draft agents Agent Library: Pre-built templates for common use cases 30+ prebuilt agents: Sales, engineering, IT, HR use cases RBAC hierarchy: Setup Admin, Admin, Super Admin with granular permissions 4.8/5 ease of use rating on G2	Offers a wizard-style web dashboard so non-devs can upload content, brand the widget, and monitor performance. Supports drag-and-drop uploads, visual theme editing, and in-browser chatbot testing. User Experience Review Uses role-based access so business users and devs can collaborate smoothly.
R A G Capabilities
Platform Claim: "Most advanced RAG system in the market" - no independent benchmarks to validate Standard RAG Pipeline: Document upload → format standardization → semantic chunking → embedding → vector storage → retrieval → generation Semantic Chunking: Breaks documents into meaningful sections by topic rather than fixed character counts Search API: contextDepth parameter for prepending/appending surrounding context to matching passages Tag-Based Filtering: Scoped searches limited to specific knowledge subsets (max 50 results) Multi-Layer Guardrails: RAG grounding + Policy Agent filtering + Knowledge Agent retrieval + HITL fallback Client Results: Zero hallucinations in 100,000 conversations (health coaching client), 65% ticket deflection Benchmark Gap: No RAGAS scores, latency measurements, or third-party validation published Learnings System: Dynamically provides relevant examples at prompt-time to improve responses Vector Storage: Purpose-built vector database with plan-based scaling (100MB to custom Enterprise)	Hybrid search: Combines semantic (vector-based) and lexical (keyword) approaches for maximum accuracy Knowledge Graph Framework: Proprietary anchors and signals across enterprise data with rich, scalable crawler LLM Control Layer: Optimizes and controls LLM outputs with permission-safe document retrieval and ranking Real-time permissions enforcement: Users only see authorized content with identity crawling and connector-level permission mirroring Context-aware query rewriting: LLM determines optimal query set with enterprise-specific rewrites Hallucination prevention: RAG grounding, permission-aware retrieval, citation/source attribution for every answer 74% human-agreement rate on AI Evaluator benchmarks with 25% precision increases in customer case studies 141% ROI over 3 years: $15.6M NPV for composite organizations, 110 hours saved per employee annually (Forrester) Permissions-aware AI (unique): Real-time access control enforcement across all 100+ datasources - no competitor matches this capability	Core architecture: GPT-4 combined with Retrieval-Augmented Generation (RAG) technology, outperforming OpenAI in RAG benchmarks RAG Performance Anti-hallucination technology: Advanced mechanisms reduce hallucinations and ensure responses are grounded in provided content Benchmark Details Automatic citations: Each response includes clickable citations pointing to original source documents for transparency and verification Optimized pipeline: Efficient vector search, smart chunking, and caching for sub-second reply times Scalability: Maintains speed and accuracy for massive knowledge bases with tens of millions of words Context-aware conversations: Multi-turn conversations with persistent history and comprehensive conversation management Source verification: Always cites sources so users can verify facts on the spot
Omnichannel Deployment
Messaging Platforms: WhatsApp (Meta Business API), Slack (OAuth + Bot Framework), Microsoft Teams (Azure portal registration) Social Media: Telegram (BotFather setup - easy), Messenger, Instagram (Meta integration - medium complexity) SMS Support: Twilio and Vonage integrations for text messaging channels Web Deployment: JavaScript widget (recommended), DOM element mounting, React component library for SPAs Mobile Apps: React Native SDK (BpWidget, BpIncomingMessagesListener) for iOS/Android cross-platform integration Webhook Architecture: Unique webhook URL per bot with optional x-bp-secret header authentication CORS Configuration: Customizable for web embedding and API access Deployment Complexity: Ranges from easy (Telegram) to complex (Microsoft Teams Azure setup, WhatsApp Meta Business) Hub Marketplace: 100+ integrations for extended channel and platform support	N/A	N/A
Visual Bot Building
Node-Based Canvas: Drag-and-drop conversation flow design with visual connections between nodes Action Cards: Pre-built components for Text responses, Capture Information (forms), Execute Code (TypeScript), AI Tasks, Knowledge Base queries Integration Actions: Direct connections to CRM (Salesforce, HubSpot), support (Zendesk), data sources Autonomous Nodes: LLM-driven decision making for dynamic conversation paths without manual flow definition Code Extensibility: Execute Code cards allow full TypeScript programming within visual flows Knowledge Base Management: Visual drag-and-drop file upload, URL ingestion, text input, Tables for structured data Template Library: ~8 official pre-built bots (Recipe, Recruitment, Support, Cinema, AI Dungeon Master) + community contributions Real-Time Testing: Test conversations directly in Studio before deployment Version Control: No native system - requires external Git integration and manual management	N/A	N/A
R A G-as-a- Service Assessment
Platform Type: CONVERSATIONAL AI PLATFORM WITH RAG (not pure RAG service) Core Architecture: Full bot builder with integrated RAG capabilities (semantic chunking, vector storage, retrieval) Service Model: Cloud SaaS with visual development environment and omnichannel deployment RAG Implementation: Standard pipeline with semantic chunking, Policy Agent guardrails, Knowledge Agent retrieval LLM Integration: Native OpenAI support only - alternatives require custom workarounds Citation Support: Knowledge Agent provides source references but specificity level not documented Enterprise Readiness: SOC 2 in progress (not certified), no EU data residency, not HIPAA compliant Target Users: Enterprise customer support teams, e-commerce businesses, multi-channel engagement needs Key Differentiator: Visual bot building + omnichannel deployment + 750K+ bot scale validation RAG Focus: RAG is one feature within comprehensive conversational AI platform, not standalone RAG API	Yes TRUE RAG PLATFORM - API-first architecture with comprehensive developer tools Data source flexibility: Excellent (100+ native connectors, Indexing API) LLM model options: Excellent (15+ models with per-step selection, BYOK) API-first architecture: Excellent (Client + Indexing APIs, 4-language SDKs) Embeddings control: Via Indexing API and custom datasources Performance benchmarks: Strong (Forrester TEI, customer case studies) Permissions & governance: Best-in-class (real-time enforcement, Active Data Governance) Best for: Large enterprises requiring permissions-aware RAG with compliance needs Not ideal for: SMBs with budget constraints, teams needing consumer messaging channels	Platform Type: TRUE RAG-AS-A-SERVICE PLATFORM - all-in-one managed solution combining developer APIs with no-code deployment capabilities Core Architecture: Serverless RAG infrastructure with automatic embedding generation, vector search optimization, and LLM orchestration fully managed behind API endpoints API-First Design: Comprehensive REST API with well-documented endpoints for creating agents, managing projects, ingesting data (1,400+ formats), and querying chat API Documentation Developer Experience: Open-source Python SDK (customgpt-client), Postman collections, OpenAI API endpoint compatibility, and extensive cookbooks for rapid integration No-Code Alternative: Wizard-style web dashboard enables non-developers to upload content, brand widgets, and deploy chatbots without touching code Hybrid Target Market: Serves both developer teams wanting robust APIs AND business users seeking no-code RAG deployment - unique positioning vs pure API platforms (Cohere) or pure no-code tools (Jotform) RAG Technology Leadership: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, proprietary anti-hallucination mechanisms, and citation-backed responses Benchmark Details Deployment Flexibility: Cloud-hosted SaaS with auto-scaling, API integrations, embedded chat widgets, ChatGPT Plugin support, and hosted MCP Server for Claude/Cursor/ChatGPT Enterprise Readiness: SOC 2 Type II + GDPR compliance, full white-labeling, domain allowlisting, RBAC with 2FA/SSO, and flat-rate pricing without per-query charges Use Case Fit: Ideal for organizations needing both rapid no-code deployment AND robust API capabilities, teams handling diverse content types (1,400+ formats, multimedia transcription), and businesses requiring production-ready RAG without building ML infrastructure from scratch Competitive Positioning: Bridges the gap between developer-first platforms (Cohere, Deepset) requiring heavy coding and no-code chatbot builders (Jotform, Kommunicate) lacking API depth - offers best of both worlds
Competitive Positioning
Primary Advantage: Visual bot building with code extensibility - accessible to non-developers, powerful for developers Scale Validation: 750,000+ active bots and 1 billion+ messages processed prove production reliability at massive scale Omnichannel Strength: Comprehensive native support for WhatsApp, Slack, Teams, Telegram, Messenger, SMS, web, mobile Community Power: 31,000+ Discord members provide peer support, troubleshooting, best practices, feature validation Primary Challenge: SOC 2 not certified, no EU data residency - critical gaps for enterprise buyers with compliance needs Security Gap: Not HIPAA compliant, no ISO 27001 - blocks regulated industry adoption (healthcare, finance) Cost Trade-Off: Free tier available but AI Spend unpredictability + feature paywalls (RBAC at $495/month) add complexity Market Position: Conversational AI platform competing with Dialogflow, Rasa, Microsoft Bot Framework vs. pure RAG services Use Case Fit: Ideal for teams needing visual bot building + multi-channel deployment vs. pure RAG API integrations Platform vs. API: Full development environment with Studio, not lightweight RAG API - different target audience than CustomGPT	vs CustomGPT: Enterprise-premium vs developer-friendly; permissions-aware AI vs flexible customization vs Zendesk: Enterprise search + RAG vs customer service platform Unique strength: Real-time permissions-aware AI across 100+ datasources (no competitor matches this) Target audience: Large enterprises (1K-100K users) with complex permission hierarchies Proven ROI: 141% ROI, $15.6M NPV, 110 hours saved per employee (Forrester) Pricing barrier: ~$50/user/month with ~$60K minimum excludes SMBs Enterprise focus: Security, governance, compliance over plug-and-play simplicity	Market position: Leading all-in-one RAG platform balancing enterprise-grade accuracy with developer-friendly APIs and no-code usability for rapid deployment Target customers: Mid-market to enterprise organizations needing production-ready AI assistants, development teams wanting robust APIs without building RAG infrastructure, and businesses requiring 1,400+ file format support with auto-transcription (YouTube, podcasts) Key competitors: OpenAI Assistants API, Botsonic, Chatbase.co, Azure AI, and custom RAG implementations using LangChain Competitive advantages: Industry-leading answer accuracy (median 5/5 benchmarked), 1,400+ file format support with auto-transcription, SOC 2 Type II + GDPR compliance, full white-labeling included, OpenAI API endpoint compatibility, hosted MCP Server support (Claude, Cursor, ChatGPT), generous data limits (60M words Standard, 300M Premium), and flat monthly pricing without per-query charges Pricing advantage: Transparent flat-rate pricing at $99/month (Standard) and $449/month (Premium) with generous included limits; no hidden costs for API access, branding removal, or basic features; best value for teams needing both no-code dashboard and developer APIs in one platform Use case fit: Ideal for businesses needing both rapid no-code deployment and robust API capabilities, organizations handling diverse content types (1,400+ formats, multimedia transcription), teams requiring white-label chatbots with source citations for customer-facing or internal knowledge projects, and companies wanting all-in-one RAG without managing ML infrastructure
A I Models
Native OpenAI Support: GPT-4o, GPT-4o mini, GPT-4 Turbo with in-Studio presets ("Best Model" and "Fast Model" for quick selection) Claude Models: Claude 4 Sonnet, Claude 3.5 Sonnet, Claude 3.7 Sonnet, Claude 4.5 Sonnet accessible via custom integrations or Execute Code cards Google Gemini: Gemini Pro, Gemini 2.5 Flash available through external API calls in custom integrations Open Source Options: LLaMA, DeepSeek accessible via Execute Code cards with external API integration Model Access within Days: Platform provides access to latest LLMs within days of release for every chatbot built on Botpress No Automatic Routing: Deliberately avoided for "concerns about unpredictability and latency" - users manually select models per task LLMz Engine: Proprietary inference layer with claimed improvements - better tool calling, token efficiency, TypeScript type definitions, V8 isolate execution AI Spend Pricing: Charged at-cost with no Botpress markup on OpenAI tokens; option to use Botpress-managed credits or BYOK (bring your own key) No Fine-Tuning: RAG recommended as primary approach, supplemented by "learnings" system providing relevant examples at prompt-time	Model Hub supports 15+ LLMs across multiple hosting providers with per-step model selection OpenAI: GPT-3.5, GPT-4 via OpenAI or Azure OpenAI endpoints Google Vertex AI: Gemini 1.5 Pro with multimodal capabilities Amazon Bedrock: Claude 3 Sonnet for high-accuracy enterprise use cases Temperature controls: Factual, balanced, or creative output settings per workflow Model tiers: Basic, Standard, Premium (premium consumes FlexCredits on Enterprise Flex plan) Two access options: Glean Universal Key (managed) or Customer Key (BYOK) for data sovereignty Zero data retention: Customer data never used for model training with automatic model updates Automatic routing: Optimizes using best-in-class models per query type for accuracy and cost	Primary models: GPT-5.1 and 4 series from OpenAI, and Anthropic's Claude 4.5 (opus and sonnet) for enterprise needs Automatic model selection: Balances cost and performance by automatically selecting the appropriate model for each request Model Selection Details Proprietary optimizations: Custom prompt engineering and retrieval enhancements for high-quality, citation-backed answers Managed infrastructure: All model management handled behind the scenes - no API keys or fine-tuning required from users Anti-hallucination technology: Advanced mechanisms ensure chatbot only answers based on provided content, improving trust and factual accuracy
Use Cases
Customer Support: Most popular use case with 98% of chats resolved without human intervention (Ruby Labs: 4 million support chats monthly) Sales Automation: Majority of deployed bots part of sales process - appointment scheduling, lead nurturing, product suggestions, competitive comparisons, automated follow-ups Sales Impact: Businesses report average 67% sales increase using chatbots, projected $112 billion in retail sales for 2024 Enterprise Internal Use: HR chatbots for vacation requests, IT chatbots for employee tech troubleshooting, repetitive high-volume task automation Lead Generation: AI lead generation qualifies leads through conversational engagement, needs assessment, information gathering, automated follow-up Cost Savings: One bank saved €530,000 by deploying chatbot, demonstrating measurable enterprise ROI Multi-Channel Engagement: WhatsApp Business API, Slack, Microsoft Teams, Telegram, Messenger, Instagram, SMS (Twilio/Vonage) for comprehensive reach Scale Validation: 750,000+ active bots, 1 billion+ messages processed provide real-world production reliability proof	Enterprise knowledge retrieval: Unified search across 100+ datasources (Google Drive, SharePoint, Confluence, Salesforce, Zendesk, GitHub, Slack) for 10K-100K user organizations Permissions-aware search: Complex permission hierarchies requiring real-time enforcement - healthcare, finance, legal industries with sensitive data access controls AI agents and automation: 30+ prebuilt agents for sales, engineering, IT, HR use cases with workflow automation capabilities Developer-friendly RAG: Official SDKs (Python, Java, Go, TypeScript), LangChain integration, MCP Server for Claude Desktop/Cursor/VS Code Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A) and customizable policies with auto-hide Cloud-Prem deployment: Customer-hosted in AWS or GCP for regulated industries requiring full data residency control NOT suitable for: SMBs with <100 users or <$60K budgets, simple document Q&A without permission requirements, consumer messaging channels (WhatsApp, Telegram)	Customer support automation: AI assistants handling common queries, reducing support ticket volume, providing 24/7 instant responses with source citations Internal knowledge management: Employee self-service for HR policies, technical documentation, onboarding materials, company procedures across 1,400+ file formats Sales enablement: Product information chatbots, lead qualification, customer education with white-labeled widgets on websites and apps Documentation assistance: Technical docs, help centers, FAQs with automatic website crawling and sitemap indexing Educational platforms: Course materials, research assistance, student support with multimedia content (YouTube transcriptions, podcasts) Healthcare information: Patient education, medical knowledge bases (SOC 2 Type II compliant for sensitive data) Financial services: Product guides, compliance documentation, customer education with GDPR compliance E-commerce: Product recommendations, order assistance, customer inquiries with API integration to 5,000+ apps via Zapier SaaS onboarding: User guides, feature explanations, troubleshooting with multi-agent support for different teams
Security & Compliance
SOC 2 Type 2: Certification in progress but NOT yet completed - critical gap for enterprise compliance requirements GDPR Compliance: Claimed but NO EU data residency available - all data processed/stored in United States only NOT HIPAA Compliant: Blocks healthcare use cases requiring protected health information handling NOT ISO 27001 Certified: Information security management certification absent US-Only Data Residency: All data processed and stored in United States - EU hosting "on roadmap" but not available SSO Support: OAuth2 with Google, GitHub, Azure available on Enterprise plan only RBAC: Role-based access control available on Team tier ($495/month) and above SCIM: User provisioning available on Enterprise plan only for automated user management Audit Logs: Enterprise plan includes comprehensive activity logging for compliance tracking Security Assessments: KPMG-conducted penetration testing, Drata monitors GDPR compliance controls Data Retention: Automatic deletion of personal log data, API endpoints for GDPR "right to be forgotten" compliance Training Privacy: Conversation data NOT used to train Botpress or third-party models	SOC 2 Type II certified: Annual audits ensuring enterprise security standards ISO 27001 certified: International information security management compliance HIPAA compliant: Healthcare data protection standards for sensitive medical information GDPR compliant: European data protection regulation adherence with data subject rights TX-RAMP Level 2 certified: Texas state government security standard NO FedRAMP certification: Not authorized for US federal government use AES-256 encryption at rest, TLS 1.2+ in transit with automatic key rotation Single-tenant infrastructure: Isolated environment per customer for maximum security Zero data retention for LLMs: Customer data never used for model training with formal agreements Cloud-Prem deployment: Customer-hosted in AWS or GCP for complete data residency control Active Data Governance: Continuous scanning with 100+ predefined infotypes (PII, PCI, M&A), customizable policies, auto-hide Permissions-aware AI: Real-time access control enforcement with zero-trust architecture meeting regulatory requirements	Encryption: SSL/TLS for data in transit, 256-bit AES encryption for data at rest SOC 2 Type II certification: Industry-leading security standards with regular third-party audits Security Certifications GDPR compliance: Full compliance with European data protection regulations, ensuring data privacy and user rights Access controls: Role-based access control (RBAC), two-factor authentication (2FA), SSO integration for enterprise security Data isolation: Customer data stays isolated and private - platform never trains on user data Domain allowlisting: Ensures chatbot appears only on approved sites for security and brand protection Secure deployments: ChatGPT Plugin support for private use cases with controlled access
Pricing & Plans
Pay-as-you-go (Free): $0/month + AI Spend, 500 messages, 100MB vector storage, 1 bot, 1 collaborator, $5 AI credit included Plus Plan: $89/month + AI Spend, 5,000 messages, 1GB vector storage, white-label, HITL, live chat support Team Plan: $495/month + AI Spend, 50,000 messages, 2GB vector storage, RBAC, collaboration, 3 bots, custom analytics Enterprise Plan: ~$2,000+/month custom pricing, unlimited messages/storage, SSO, SLA (99.8% uptime), dedicated manager AI Spend Unpredictability: Token consumption varies significantly with conversation length, tool usage, model selection Spending Caps: $100/month (Plus), $500/month (Team), custom (Enterprise) to control AI costs Overage Pricing: $20 per 5,000 messages, $20/GB vector storage, $10/bot/month Always Alive feature Third-Party Costs: WhatsApp, SMS, voice integrations incur separate Meta/Twilio fees beyond Botpress pricing Enterprise Contracts: May require multi-year commitments (3-year contracts mentioned in reviews) Enterprise SLA: 99.8% uptime guarantee with service credits (5-25% depending on severity), maximum monthly credit 50% of charges	No public pricing - enterprise sales only with custom quotes Estimated cost: ~$45-50+ per user/month based on third-party reports Minimum ACV: ~$60K (approximately 100 users minimum for entry) Per-seat model: Annual contracts based on number of users No free trial: Paid POCs reportedly up to $70K for large enterprises Renewal increases: 7-12% annually unless renewal caps negotiated upfront FlexCredits (Enterprise Flex): For premium LLM usage with consumption-based billing Support tiers: Standard (24x5, included) or Premium (24x7 critical, additional fee) Dedicated CSMs: Assigned to enterprise accounts with regular business reviews and hands-on onboarding Pricing barrier: Excludes SMBs and startups - targets Fortune 500 and mid-market enterprises with 1K-100K users	Standard Plan: $99/month or $89/month annual - 10 custom chatbots, 5,000 items per chatbot, 60 million words per bot, basic helpdesk support, standard security View Pricing Premium Plan: $499/month or $449/month annual - 100 custom chatbots, 20,000 items per chatbot, 300 million words per bot, advanced support, enhanced security, additional customization Enterprise Plan: Custom pricing - Comprehensive AI solutions, highest security and compliance, dedicated account managers, custom SSO, token authentication, priority support with faster SLAs Enterprise Solutions 7-Day Free Trial: Full access to Standard features without charges - available to all users Annual billing discount: Save 10% by paying upfront annually ($89/mo Standard, $449/mo Premium) Flat monthly rates: No per-query charges, no hidden costs for API access or white-labeling (included in all plans) Managed infrastructure: Auto-scaling cloud infrastructure included - no additional hosting or scaling fees
Support & Documentation
Free Plan Support: Community only - Discord (31,000+ members), documentation, forums - no direct support Plus Plan Support: Live chat with Botpress engineers ($89/month) for direct technical assistance Team Plan Support: Advanced support + solution engineering ($495/month) for complex implementations Enterprise Support: Named support manager, SLA-backed response times (2 hours to 2 business days), ~$2,000+/month Discord Community: 31,000+ highly active members with daily discussions, feature requests, troubleshooting - praised as "best Discord experience" Documentation: Comprehensive docs at botpress.com/docs with API references, video tutorials, "Ask AI" feature for guided help Botpress Academy: Free training courses covering bot development, best practices, advanced features Response Time SLAs: 2 business days (standard Level 1) to 2 hours (premium Level 1) for Enterprise customers Service Credits: 99.8% uptime SLA with credits for downtime, includes OpenAI unavailability (notable external dependency caveat) Support Limitation: Non-Enterprise users lack formal ticketing system, may experience wait times for complex issues	Standard support: 24x5 (Mon-Fri) via portal, email, Slack Connect channels Premium support: 24x7 for critical issues with additional fee Dedicated CSMs: Enterprise accounts with hands-on onboarding and regular business reviews Excellent documentation: developers.glean.com with OpenAPI specs, CodeSandbox demos, comprehensive API references Official SDKs: Python (pip install glean), Java (Maven), Go, TypeScript with async support and framework integrations Web SDK: @gleanwork/web-sdk for embeddable components (chat, search, autocomplete, recommendations) GitHub repositories: github.com/gleanwork with SDK repositories and sample projects Framework integrations: LangChain (langchain-glean), Agent Toolkit (OpenAI Assistants, CrewAI, Google ADK) MCP Server: 5-minute setup for Claude Desktop, Cursor, VS Code, Windsurf, ChatGPT with pre-built tools Regular business reviews: Quarterly check-ins for enterprise customers with strategic planning	Documentation hub: Rich docs, tutorials, cookbooks, FAQs, API references for rapid onboarding Developer Docs Email and in-app support: Quick support via email and in-app chat for all users Premium support: Premium and Enterprise plans include dedicated account managers and faster SLAs Code samples: Cookbooks, step-by-step guides, and examples for every skill level API Documentation Open-source resources: Python SDK (customgpt-client), Postman collections, GitHub integrations Open-Source SDK Active community: User community plus 5,000+ app integrations through Zapier ecosystem Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Additional Considerations
High learning curve: Platform highly flexible but non-technical users struggle with advanced flow builder and developer-oriented features Developer dependency: No quick copy-and-paste solution for real enterprise - company needs long-term employees ready to see it through with recommended 1-2 developers and 1-2 business-side employees per project Performance under load: Live users report latency and webhook timeout issues under spiky high-concurrency loads - high-traffic teams should stress-test with projected peak traffic Self-hosting complexity: For enterprise deployments with large numbers of bots or conversations self-hosting might be required shifting maintenance and scaling challenges to your team Technical requirements: Configuring Docker, Kubernetes, databases, and certificates can become roadblock - requires skills in JavaScript, API integration, NLP, state management DevOps investment needed: Teams should be prepared for additional DevOps investment for autoscaling, database sharding, and backup strategies Unpredictable AI usage costs: Every message, retrieval, or workflow call consumes tokens making monthly bills swing dramatically depending on traffic and complexity Hidden expenses: Third-party services like WhatsApp, SMS, voice integrations billed separately - advanced use cases often require engineering hours, enterprise deployments may require onboarding packages, compliance audits, or custom module builds costing thousands Scaling costs: Growing from 5,000 to 20,000 MAUs means moving from $495/month to much higher custom enterprise price - multiple bots, custom integrations, or premium add-ons can push monthly spend well past initial plan quote Resource-heavy features: Botpress LLM features can be resource-heavy requiring wise CPU/memory allocation planning Commercial license threshold: Planning more than 150K interactions per month requires commercial license Ongoing maintenance: Deployment is just start - bots must be continuously monitored, tested, and iterated to stay effective and aligned with evolving business goals	Cannot create content directly: Glean focuses purely on search and retrieval - not suitable for organizations needing content creation within platform Platform designed for large organizations: Feature set and pricing optimized for large enterprises - smaller teams may find it overkill and less cost-effective AI production challenges: 68% of organizations report moving only 30% or fewer AI experiments into full production highlighting persistent scaling difficulties beyond proof-of-concept Integration complexity: Requires strategic overhaul of processes to ensure seamless technology incorporation into existing workflows Change management: Overcoming resistance to change demands strong leadership and commitment to fostering innovation and adaptability environment Data reliability monitoring: Potential for inaccuracies in AI outputs necessitates rigorous monitoring frameworks to ensure data reliability and trustworthiness Cybersecurity concerns: As AI deployment expands, cybersecurity threats become more pronounced requiring enhanced protective measures for sensitive information Bias in AI models: Models can inadvertently learn and replicate biases in training data leading to unfair or discriminatory outcomes particularly in hiring, customer service, legal decisions Training investment required: Enterprises must invest in training workforce to effectively use AI tools - upskilling employees, hiring AI talent, or partnering with consultants Security risks and shadow IT: Many organizations hesitate due to uncertainties from security risks and shadow IT - ad hoc generative AI adoption comes with heavy risks and costs	Slashes engineering overhead with an all-in-one RAG platform—no in-house ML team required. Gets you to value quickly: launch a functional AI assistant in minutes. Stays current with ongoing GPT and retrieval improvements, so you’re always on the latest tech. Balances top-tier accuracy with ease of use, perfect for customer-facing or internal knowledge projects.
Core Chatbot Features
Advanced AI capabilities: Extremely advanced AI with multiple sophisticated AI agents - automatic translation, conversation summarization, Vision Agent for image understanding LLMz custom inference engine: Core of every Botpress agent with proprietary engine for enhanced performance Conversational memory: Rich conversational memory maintaining context across long interactions, understanding complex multi-turn queries, and generating human-like responses User memory across sessions: Agent remembers conversation history of specific users across different times - recalls user preferences, where they left off, and preferred tone of voice Visual flow builder: Drag-and-drop interface for designing complex conversational flows without coding Built-in AI features: Intent recognition, entity extraction, knowledge base integration, and AI agents Custom data training: Train chatbot on custom data like website and documents Multi-channel deployment: Create and launch chatbots on many channels including website, Facebook, WhatsApp, Slack, Instagram and more platforms API integrations: Integrates with APIs, CRMs, databases, and other business applications Automatic translation: Over 100 languages for global reach AI Swarms/Teams (2025): Platform transformed into mature "AI workforce deployment and management center" with AI team collaboration capabilities Live Database Connectors: Breakthrough feature allowing direct secure connection to SQL or NoSQL database in addition to traditional API connections Open-source flexibility: Users have access to application source code and can contribute to development - skilled developers can push envelope to tailor to unique needs	Glean Chat interface: Primary interface for interacting with Glean Assistant offering familiar chat-like experience enabling natural conversations with company knowledge base Multi-turn conversations: Supports conversational AI with natural language and context awareness maintaining context across conversation turns Streaming responses: Real-time response streaming for better user experience with automatic source citations for transparency Chatbot context understanding: Understands thread and sequence of conversations tracking references like "their" and "they" across multiple exchanges Enterprise knowledge integration: Works across all company apps and knowledge sources including Microsoft 365, Google Workspace, Salesforce, Jira, GitHub and nearly 100 more applications Personalization and security: Delivers answers highly customized to each user based on deep understanding of company content, employees, and activity while adhering to real-time enterprise data permissions and governance rules Citation and transparency: Provides full linking to source information across documents, conversations and applications for transparency and trust Simple chatbot API: Powerful tool for integrating conversational AI into products creating custom conversational interfaces leveraging Glean's AI capabilities Use case flexibility: Build chatbots answering customer questions using help documentation, FAQs, knowledge bases or create internal tools helping employees find company policies, procedures, documentation	Reduces hallucinations by grounding replies in your data and adding source citations for transparency. Benchmark Details Handles multi-turn, context-aware chats with persistent history and solid conversation management. Speaks 90+ languages, making global rollouts straightforward. Includes extras like lead capture (email collection) and smooth handoff to a human when needed.
Customization & Flexibility ( Behavior & Knowledge)
Knowledge Bases: Upload in variety of formats ranging from website or document to custom text file or Table Knowledge Base scoping: Scope which Knowledge Bases Autonomous Node searches by organizing documents into folders limiting availability to certain workflows Search field configuration: Configure search fields such as name, description, power, price to refine bot responses Dynamic management: Programmatically manage Knowledge Base files with Botpress API to dynamically add, update, or remove content in real time keeping AI agent knowledge current Behavior customization: Define specific behaviors in instructions to avoid unintended outputs - specify prices are final and include all discounts to prevent bot from fabricating discounts Custom responses: Program custom response by adding Transition Card in Autonomous Node and handle transition however wanted with custom error messages Bot templates: Pre-configured projects containing predefined conversational flows, Knowledge Bases, and responses serving as starting point - easily customized and extended to meet specific requirements with full developer control Visual customization: Give bot name, store avatar URL for custom icon, provide general description, formulate placeholder text displayed before user enters first text ChatGPT consultation: Customize bot behavior deciding when to consult ChatGPT based on knowledge base responses Highly customizable workflows: Unlimited variables and open-source flexibility for advanced customization	Natural language configuration: Build and configure agents by describing goals in plain language without technical expertise Visual builder option: Alternative drag-and-drop workflow creation for those preferring visual interface AI-assisted creation: Glean suggests starting points and auto-generates draft agents based on description Agent Library templates: 30+ prebuilt agents for sales, engineering, IT, HR use cases as starting points Per-step model selection: Different LLMs for each workflow step with temperature controls (factual, balanced, creative) Model tiers: Basic, Standard, Premium models with FlexCredits for premium consumption on Enterprise Flex Two access options: Glean Universal Key (managed) or Customer Key (BYOK) for data sovereignty Zero data retention: Customer data never used for model training with automatic model updates RBAC hierarchy: Setup Admin, Admin, Super Admin roles with granular permissions Process knowledge integration: Glean uses underlying process knowledge to inform agent design and workflow optimization	Lets you add, remove, or tweak content on the fly—automatic re-indexing keeps everything current. Shapes agent behavior through system prompts and sample Q&A, ensuring a consistent voice and focus. Learn How to Update Sources Supports multiple agents per account, so different teams can have their own bots. Balances hands-on control with smart defaults—no deep ML expertise required to get tailored behavior.
Limitations & Considerations
Steep Learning Curve: Platform highly flexible but non-technical users struggle with advanced flow builder and developer-oriented features Developer Dependency: Requires developer involvement making it less suitable for small businesses needing quick setup Performance Issues: Users report latency and laggy software experience impacting workflow efficiency Bug Disruptions: Various bugs may disrupt workflows and cause functionality problems requiring troubleshooting Missing Features: White-labeling, global compliance, seamless live support require heavy effort or unavailable, slowing adoption Data Visibility Gap: Cannot see user variables (name, email, custom fields) in chatbot conversations - limits analytics capabilities Cost for SMBs: Enterprise-level security, compliance, dedicated support cost prohibitive for smaller teams ($495-$2,000+/month) Resource Requirements: Self-hosted deployment requires IT resources for deployment and ongoing management Complex Setup: Publishing on Facebook/Instagram technically complex, live chat only available on higher-priced plans Limited Analytics: Standard plans offer limited analytical capabilities - advanced analytics require Team plan ($495/month) LLM Provider Dependency: Reliance on third-party LLM providers (primarily OpenAI) impacts operational costs, scalability, and control Complex Issue Handling: Chatbots may struggle with handling complex, nuanced customer issues requiring human judgment Multi-Instance Challenges: Setting up multiple instances from one installation proven difficult for some enterprise users Compliance Gaps: SOC 2 incomplete, no HIPAA, no ISO 27001, US-only data residency blocks regulated industries and EU enterprises	High cost barrier: ~$50/user/month with ~$60K minimum ACV excludes SMBs, startups, and budget-conscious teams No public pricing: Requires sales contact creating friction for evaluation and budget planning vs transparent competitors Paid POCs: No free trial, POCs reportedly cost up to $70K for large enterprise pilots Renewal increases: 7-12% annual price increases unless renewal caps negotiated upfront NO FedRAMP certification: Not suitable for US federal government deployments Limited consumer channels: No native WhatsApp, Telegram integrations - designed for internal enterprise use only Complex implementation: Initial indexing takes "few days" depending on data volume, requires enterprise IT coordination Cross-language queries in early access: English query finding Spanish documents still in testing phase Best for: Large enterprises (1K-100K users) with complex permission hierarchies, $60K+ budgets, and need for permissions-aware AI across 100+ datasources NOT suitable for: SMBs, startups, simple document Q&A without permission requirements, organizations prioritizing transparent pricing	Managed service approach: Less control over underlying RAG pipeline configuration compared to build-your-own solutions like LangChain Vendor lock-in: Proprietary platform - migration to alternative RAG solutions requires rebuilding knowledge bases Model selection: Limited to OpenAI (GPT-5.1 and 4 series) and Anthropic (Claude, opus and sonnet 4.5) - no support for other LLM providers (Cohere, AI21, open-source models) Pricing at scale: Flat-rate pricing may become expensive for very high-volume use cases (millions of queries/month) compared to pay-per-use models Customization limits: While highly configurable, some advanced RAG techniques (custom reranking, hybrid search strategies) may not be exposed Language support: Supports 90+ languages but performance may vary for less common languages or specialized domains Real-time data: Knowledge bases require re-indexing for updates - not ideal for real-time data requirements (stock prices, live inventory) Enterprise features: Some advanced features (custom SSO, token authentication) only available on Enterprise plan with custom pricing
Core R A G Features
N/A	Hybrid search: Combines semantic (vector-based) and lexical (keyword) approaches Knowledge Graph Framework: Proprietary anchors and signals across enterprise data Rich, Scalable Crawler: Permission rule synchronization at scale LLM Control Layer: Optimizes and controls LLM outputs RAG pipeline: Query Planning → Retrieval (permission-safe) → Generation (grounded, cited) Hallucination prevention: RAG grounding, permission-aware retrieval, citation attribution Context-aware query rewriting: LLM determines optimal query set with enterprise-specific rewrites Permission-safe document retrieval with ranking Grounded answers with source citations	N/A
Permissions- Aware A I ( Core Differentiator)
N/A	Real-time access control enforcement across all 100+ datasources Identity crawling: Periodic capture of users, groups, memberships, permission models Connector-level permission mirroring: Respects each source's native model (Salesforce, GDrive, etc.) Real-time enforcement: Permission changes reflect immediately in search results Technical implementation: allowedUsers/allowedGroups fields, nested group support Debugging endpoints: Tools for troubleshooting permission issues Zero-trust architecture: Users only see authorized content Compliance-friendly: Meets regulatory requirements for data access control	N/A
Multi- Language & Localization
N/A	English: Full support (keyword search, semantic search, assistant, UI) German: Full support Japanese: Full support French: Partial support Spanish: Partial support 20+ languages: Early access or keyword search only Note: Cross-language queries in early access (e.g., English query finding Spanish documents)	N/A
Conversation & Agent Features
N/A	Conversation history: Thread tracking in Slack, History tab in interface Version control: All agent versions automatically saved Note: Lead capture not a native feature - designed for internal enterprise use Note: Human handoff requires external integration - ClearFeed, ServiceNow, Zendesk escalation	N/A
Deployment Options
N/A	Cloud (SaaS): Standard deployment on Glean infrastructure Cloud-Prem: Customer-hosted in AWS or GCP environment for full data residency control Single-tenant architecture: Isolated infrastructure per customer Browser extensions: Chrome, Firefox, Safari, Edge Web SDK embedding: Custom integration in customer applications	N/A

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Final Thoughts

Final Verdict: Botpress vs Glean

After analyzing features, pricing, performance, and user feedback, both Botpress and Glean are capable platforms that serve different market segments and use cases effectively.

When to Choose Botpress

You value visual drag-and-drop builder with extensive code extensibility via execute code cards
Massive scale validation: 750,000+ active bots, 1 billion+ messages processed
Comprehensive omnichannel support: WhatsApp, Slack, Teams, Telegram, Messenger, SMS, web

Best For: Visual drag-and-drop builder with extensive code extensibility via Execute Code cards

When to Choose Glean

You value permissions-aware ai is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern
Strong developer experience - comprehensive APIs, 4-language SDKs (Python, Java, Go, TypeScript), LangChain integration
Model flexibility without vendor lock-in - 15+ LLMs with per-step selection and bring-your-own-key option

Best For: Permissions-aware AI is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern

Migration & Switching Considerations

Switching between Botpress and Glean requires careful planning. Consider data export capabilities, API compatibility, and integration complexity. Both platforms offer migration support, but expect 2-4 weeks for complete transition including testing and team training.

Pricing Comparison Summary

Botpress starts at custom pricing, while Glean begins at $50/month. Total cost of ownership should factor in implementation time, training requirements, API usage fees, and ongoing support. Enterprise deployments typically see annual costs ranging from $10,000 to $500,000+ depending on scale and requirements.

Our Recommendation Process

Start with a free trial - Both platforms offer trial periods to test with your actual data
Define success metrics - Response accuracy, latency, user satisfaction, cost per query
Test with real use cases - Don't rely on generic demos; use your production data
Evaluate total cost - Factor in implementation time, training, and ongoing maintenance
Check vendor stability - Review roadmap transparency, update frequency, and support quality

For most organizations, the decision between Botpress and Glean comes down to specific requirements rather than overall superiority. Evaluate both platforms with your actual data during trial periods, focusing on accuracy, latency, ease of integration, and total cost of ownership.

📚 Next Steps

Ready to make your decision? We recommend starting with a hands-on evaluation of both platforms using your specific use case and data.

• Review: Check the detailed feature comparison table above
• Test: Sign up for free trials and test with real queries
• Calculate: Estimate your monthly costs based on expected usage
• Decide: Choose the platform that best aligns with your requirements

Last updated: December 11, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

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Priyansh Khodiyar

DevRel at CustomGPT.ai. Passionate about AI and its applications. Here to help you navigate the world of AI tools and make informed decisions for your business.

Botpress vs Glean