In this comprehensive guide, we compare Deviniti and SiteGPT 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 Deviniti and SiteGPT, 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 Deviniti if: you value strong compliance and security focus
Choose SiteGPT if: you value extremely easy setup - minutes to launch
About Deviniti
Deviniti is self-hosted genai solutions for compliance-critical industries. Deviniti is an AI development company specializing in secure, self-hosted AI agents and LLM solutions for highly regulated industries like finance, healthcare, and legal, with expertise in RAG architecture and custom AI development. Founded in 2010, headquartered in Kraków, Poland, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
77/100
Starting Price
Custom
About SiteGPT
SiteGPT is make ai your expert customer support agent. SiteGPT is an AI chatbot solution that instantly answers visitor questions with a personalized chatbot trained on your website content. It's like having ChatGPT specifically for your products, offering 24/7 automated customer support with seamless integrations into existing support platforms. Founded in 2022, headquartered in Remote, the platform has established itself as a reliable solution in the RAG space.
Overall Rating
86/100
Starting Price
$49/mo
Key Differences at a Glance
In terms of user ratings, SiteGPT in overall satisfaction. From a cost perspective, Deviniti starts at a lower price point. The platforms also differ in their primary focus: AI Development versus AI Chatbot. 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
Deviniti
SiteGPT
CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
Builds custom pipelines to pull in pretty much any source—internal docs, FAQs, websites, databases, even proprietary APIs.
Works with all the usual suspects (PDF, DOCX, etc.) and can tap uncommon sources if the project needs it.
Project case study
Designs scalable setups—hardware, storage, indexing—to handle huge data sets and keep everything fresh with automated pipelines.
Learn more
Crawls entire sites by URL or sitemap—thousands of pages in one go. Learn how
Accepts uploads in CSV, TXT, PDF, DOCX, PPTX, and Markdown (10 MB per file). File upload info
Connects to Google Drive, Dropbox, OneDrive, Notion, Confluence, GitBook, and more out of the box. View integrations
Scales to big libraries—up to 100 k pages on the Enterprise tier.
Retraining is manual for now (click a button), with automated retrain cycles on the roadmap. Retraining details
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
Plugs the chatbot into any channel you need—web, mobile, Slack, Teams, or even legacy apps—tailored to your stack.
Spins up custom API endpoints or webhooks to hook into CRMs, ERPs, or ITSM tools (dev work included).
Integration approach
Ships native connectors for Slack, Google Chat, Facebook Messenger, Crisp, Freshchat, Zendesk Chat, Zoho SalesIQ, and more. See Slack integration
Embed on any site with a quick script or iframe—works on web and mobile. Embed instructions
Higher tiers add webhook support for event-driven hooks into your own systems.
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.
Total control: add new sources with custom pipelines, tweak bot tone, inject live API calls—whatever you dream up.
Everything’s bespoke, so updates usually involve a quick dev sprint.
Case details
Click “Retrain” to upload new files or re-crawl a site—no tech skills required.
Personas and Quick Prompts steer the conversation style; higher plans add custom rules. Persona configuration
Run multiple chatbots under one account, each with its own data set.
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.
Pricing & Scalability
Project-based pricing plus optional maintenance—great for unique enterprise needs.
Your infra (cloud or on-prem) handles the load; the solution is built to scale to millions of queries.
Client portfolio
Growth plan (~$79/mo), Pro/Scale (~$259/mo), plus an Enterprise tier. View pricing
Limits scale with message counts, bots, pages crawled, and file uploads—add-ons boost capacity when needed.
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
Deploy on-prem or private cloud for full data control and compliance peace of mind.
Uses strong encryption, access controls, and hooks into your existing security stack.
Security details
Uses HTTPS/TLS in transit and encrypted storage at rest—industry-standard security.
Data stays in your workspace; formal certifications aren’t front-and-center, but best practices are followed.
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
Custom monitoring ties into tools like CloudWatch or Prometheus to track everything.
Can add an admin dashboard or SIEM feeds for real-time analytics and alerts.
More info
Dashboard shows chat histories, analytics, and trends in one place. Dashboard example
Daily email digests keep teams updated without logging in.
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
Hands-on support from Deviniti—from kickoff through post-launch—direct access to the dev team.
Docs, training, and integrations are built around your stack, not one-size-fits-all.
Our services
Email support and a “Submit a Request” form for new features or integrations. Submit a request
Active blog, Product Hunt launches, and an agency partner program grow the ecosystem.
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.
Additional Considerations
Can build hybrid agents that run complex, transactional tasks—not just Q&A.
You own the solution end-to-end and can evolve it as AI tech moves forward.
Custom governance
Built-in “Functions” let the bot trigger actions—like opening a support ticket—directly from chat. Learn about Functions
SourceSync headless API offers a pure RAG backend when you need more developer control.
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.
No- Code Interface & Usability
No out-of-the-box no-code dashboard—IT or bespoke admin panels handle config.
Everyday users chat with the bot; deeper tweaks live with the tech team.
Guided dashboard lets anyone paste a URL or upload files and launch a bot in minutes.
Pre-built integrations and a copy-paste embed snippet make deployment a breeze. Embed instructions
Live demo plus 7-day free trial means you can test risk-free.
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.
Competitive Positioning
Market position: Custom AI development agency (200+ clients served) specializing in self-hosted, enterprise RAG solutions with domain-specific fine-tuning and legacy system integration
Target customers: Large enterprises needing fully custom AI solutions, organizations with legacy systems requiring specialized integration, and companies requiring on-premises deployment with complete data sovereignty and compliance control
Key competitors: Azumo, internal AI development teams, Contextual.ai (enterprise), and other custom AI consulting firms
Competitive advantages: 200+ enterprise clients demonstrating proven track record, model-agnostic approach with fine-tuning on proprietary data, on-prem/private cloud deployment for full data control, custom API/workflow development tailored to exact specifications, white-glove support with direct dev team access, and complete solution ownership with bespoke UI/branding
Pricing advantage: Project-based pricing plus optional maintenance; higher upfront cost than SaaS but provides long-term ownership without subscription fees; best value for unique enterprise needs that can't be met with off-the-shelf solutions and require custom integrations
Use case fit: Ideal for enterprises with legacy systems needing specialized AI integration, organizations requiring domain-tuned models with insider terminology, companies needing hybrid AI agents handling complex transactional tasks beyond Q&A, and businesses demanding on-premises deployment with complete data sovereignty and custom compliance measures
Market position: User-friendly no-code RAG chatbot platform emphasizing rapid website crawling and multi-channel support for SMB customer service teams
Target customers: Small to mid-size businesses needing quick website-based chatbot deployment, support teams requiring native channel integrations (Slack, Google Chat, Messenger, Zendesk, Freshchat), and companies wanting 95+ language support with minimal technical overhead
Key competitors: Chatbase.co, Botsonic, Ragie.ai, WonderChat, and other no-code chatbot builders targeting SMB market
Competitive advantages: Comprehensive website crawling (up to 100K pages on Enterprise), native integrations with 10+ support/messaging platforms, GPT-4o/GPT-4o-mini model selection, "Functions" feature enabling bot actions (support tickets, CRM updates), headless SourceSync API for custom RAG backends, 95+ language support, and white-label option for seamless branding
Pricing advantage: Mid-range at ~$79/month (Growth) and ~$259/month (Pro/Scale); straightforward tiered pricing without confusing add-ons; scales with message counts and page limits; best value for growing SMBs needing multi-channel presence without per-interaction charges
Use case fit: Ideal for businesses wanting to quickly convert website content into chatbot knowledge base, support teams needing native integrations with multiple messaging platforms (Slack, Messenger, Zendesk, Freshchat), and SMBs requiring no-code setup with webhook automation for CRM/ticketing workflows without developer resources
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
Model-agnostic approach: Supports any LLM - GPT-4, Claude, Llama 2, Falcon, Cohere, or custom models based on client needs
Custom model fine-tuning: Fine-tune models on proprietary data for domain-specific terminology and insider jargon
Local LLM deployment: On-premises model hosting for complete data sovereignty and offline operation
Multiple model support: Deploy different models for different use cases within same infrastructure
Model flexibility: Swap models through new build/deploy cycle as requirements evolve
Custom training pipelines: Build specialized training workflows for continuous model improvement
GPT-4o (Full Model): OpenAI's flagship multimodal model for deeper, more nuanced answers with comprehensive reasoning
GPT-4o-mini: Faster, cost-optimized variant balancing speed and quality for high-volume deployments
Model Selection Per Chatbot: Choose model independently for each bot to optimize cost/performance trade-offs
ChatGPT API (GPT-3.5-turbo): Default model for all chatbots on lower-tier plans providing fast, accurate responses
GPT-4 Availability: Available on Pro and Elite pricing plans for advanced use cases requiring deeper reasoning
No Custom Models: Limited to OpenAI models—no support for Claude, Gemini, Llama, or custom fine-tuned models
Automatic Updates: Benefits from OpenAI model improvements without manual configuration changes
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
R A G Capabilities
Custom RAG architecture: Best-practice retrieval with multi-index strategies and tuned prompts for precise answers
Domain-specific fine-tuning: Train on proprietary data to eliminate hallucinations and improve accuracy for insider terminology
Custom channel deployment: Integrate into any channel - web, mobile, Slack, Teams, or legacy applications
Domain-tuned assistants: Specialized agents with fine-tuned models for technical or medical terminology
Customer Support Automation: 24/7 instant answers from website/documentation reducing support ticket volume
Website Knowledge Conversion: Rapidly convert existing website content into interactive chatbot knowledge base
Multi-Channel Support: Unified bot across website, Slack, Google Chat, Facebook Messenger, Zendesk, Freshchat
Lead Generation: Automatic lead capture during chat sessions with CRM integration via webhooks
Global Support Teams: 95+ language support enabling worldwide customer service with single bot
SaaS Onboarding: Interactive product documentation and onboarding assistance for new users
E-Commerce Support: Product information, shipping policies, and order assistance with "Functions" for ticket creation
Internal Knowledge Base: Employee self-service for HR policies, IT documentation, and company procedures
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)
Enterprise Plan: Custom pricing for 100K+ pages, white-label branding, dedicated support, and volume discounts
7-Day Free Trial: Risk-free evaluation without credit card requirement
No Free Plan: Trial only; requires paid subscription after evaluation period
Scalable Limits: Message counts, bots, pages crawled, and file uploads scale with tier selection
Add-Ons Available: Boost capacity beyond plan limits when needed for seasonal traffic spikes
Straightforward Pricing: Tiered structure without confusing per-interaction charges or hidden fees
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
White-glove support: Direct access to development team from kickoff through post-launch
Custom documentation: Tailored documentation for your specific implementation and tech stack
Training programs: Custom training for IT teams and end users on solution usage and maintenance
Dedicated project manager: Single point of contact throughout development lifecycle
Post-launch support: Optional maintenance contracts with SLA guarantees and priority response
Integration support: Hands-on help connecting to existing enterprise systems and workflows
Knowledge transfer: Complete handoff of code, architecture docs, and operational runbooks
Enterprise focus: Proven experience with large-scale deployments and complex requirements
Email Support: Submit requests for technical assistance and feature questions
"Submit a Request" Form: Dedicated channel for integration requests and feature suggestions
REST API Documentation: API reference for bot management, content uploads, and answer retrieval
Active Blog: Product updates, use cases, and best practices published regularly
Product Hunt Community: User reviews, feedback, and feature discussions on Product Hunt platform
Agency Partner Program: Ecosystem for agencies building chatbots for clients
Guided Dashboard: Intuitive interface with tooltips and onboarding guidance for new users
No Dedicated Support Team: Higher tiers may include priority support but not extensively documented
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
Active community: User community plus 5,000+ app integrations through Zapier ecosystem
Regular updates: Platform stays current with ongoing GPT and retrieval improvements automatically
Limitations & Considerations
High upfront cost: $50K-$500K+ initial development vs $29-$999/month SaaS solutions
Longer time to value: 2-6 month development cycle vs instant SaaS deployment
Custom maintenance required: Updates and changes require development work, not self-service
No out-of-box features: Everything built from scratch - no pre-built templates or no-code tools
Technical expertise required: IT team needed for ongoing management and infrastructure
Project-based approach: Each enhancement or change may require additional development sprint
Not for budget-constrained SMBs: Best suited for large enterprises with significant AI budgets
Best for unique needs only: Only justified when off-the-shelf solutions cannot meet requirements
OpenAI-Only Models: Limited to GPT models—no Claude, Gemini, Llama, or custom model support
Manual Retraining: No automatic content syncing yet—requires manual button-click to update knowledge base
10MB File Size Limit: Per-file upload cap may constrain large document processing vs competitors with higher limits
No Formal Compliance Certifications: SOC 2, ISO 27001, HIPAA not publicly documented—may limit enterprise adoption
Limited Advanced RAG Features: Missing knowledge graphs, hybrid search, or advanced retrieval tuning found in enterprise platforms
No Multi-LLM Support: Cannot compare or route between multiple model providers for optimal responses
Webhook-Only Integrations: Advanced integrations require webhook development on higher tiers
No On-Premise Deployment: Cloud-only SaaS with no self-hosting option for air-gapped or highly regulated environments
Limited Analytics Depth: Dashboard and daily digests provide basic metrics but lack advanced product analytics or A/B testing
SMB-Focused: Feature set optimized for small/mid-size businesses—may lack enterprise-grade controls and customization
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 Agent Features
Custom AI Agents: Build autonomous agents using advanced LLM architecture with planning modules, memory systems, and RAG pipelines tailored to exact business requirements
Agent Development
Planning Module: Agents break down complex tasks into smaller manageable steps using task decomposition methods - enabling multi-step autonomous workflows
Memory System: Retains past interactions ensuring consistent responses in long-running workflows, maintaining context to improve handling of complex tasks over time
RAG Integration: Agents use specialized RAG pipelines, code interpreters, and external APIs to gather and process data efficiently - enhancing ability to access and use external resources for accurate outcomes
RAG Implementation
Tool & API Integration: Agents execute actions beyond Q&A - integrate with CRMs, ERPs, ITSM tools, proprietary APIs, and legacy systems through custom webhooks and endpoints
Domain-Tuned Behavior: Fine-tune on proprietary data for insider terminology, multi-turn memory with context preservation, and any language support including local LLM deployment
Hybrid Agent Capabilities: Build agents that run complex transactional tasks beyond simple Q&A - handle workflows like IT ticket creation, CRM updates, and approval processes
Hybrid Agents
Real-World Proven: Deployed AI Agent in Credit Agricole bank for customer service automation - routes simple queries automatically, flags complex ones for human support, and drafts personalized replies
Multi-Turn Conversation: Maintains conversation history visible in admin dashboard for coherent context-aware multi-turn interactions
Sentiment Tracking: Real-time sentiment analysis and conversation metrics monitoring for performance optimization and customer insights
Lead Collection System: Automatic lead capture during chat sessions with industry-specific templates (SaaS, E-commerce, Professional Services) and customizable trigger keywords
Human Handoff Integration: Built-in escalation workflows allowing users to seamlessly transition to live agents with button-click transfers when AI cannot handle queries
Functions Framework: Enable bots to trigger external actions (support tickets, CRM updates, booking workflows) directly from chat conversations without leaving interface
24/7 Lead Capture: Weekend browsers, late-night emergencies, holiday shoppers—captures and qualifies leads around the clock even while team sleeps
Webhook Automation: Higher tiers add webhook support for event-driven CRM/ticketing system integration and workflow automation
Email Notifications: Lead collection emails sent to chatbot owner with optional custom email recipients for distributed team notifications
Custom Lead Fields: Unlimited custom fields with Custom template for capturing industry-specific information (project scope, timelines, business requirements)
Trigger Customization: Configure lead forms to display on specific keywords (pricing, demo, consultation) or after set number of conversation exchanges (1-20 messages)
95+ Language Support: Multilingual agent capabilities handling diverse global customer bases without separate language-specific configurations
Analytics Dashboard: Comprehensive conversation tracking, chat history analysis, and performance trends in centralized dashboard with daily email summaries
AI Conversation Analysis: Tools to analyze chatbot conversations with AI to uncover knowledge gaps, user intent patterns, and actionable improvements
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
R A G-as-a- Service Assessment
Platform Type: CUSTOM AI DEVELOPMENT CONSULTANCY - not a platform but professional services firm building bespoke enterprise RAG solutions and AI agents from scratch (200+ clients served)
Core Offering: Project-based custom development of self-hosted AI agents, RAG architectures, and LLM applications tailored to exact specifications - not pre-built software or SaaS
Agent Capabilities: Build fully autonomous AI agents with planning modules, memory systems, RAG pipelines, and tool integration - proven in regulated industries like banking (Credit Agricole deployment)
Agent Services
Developer Experience: White-glove professional services with dedicated dev team, project-specific API development (JSON over HTTP), custom documentation and samples, hands-on support from kickoff through post-launch
No-Code Capabilities: NONE - everything requires custom development work. No dashboard, visual builders, or self-service tools. IT teams or bespoke admin panels handle configuration post-delivery
Target Market: Large enterprises with legacy systems needing specialized AI integration, organizations requiring on-premises deployment with complete data sovereignty, companies with unique needs that can't be met with off-the-shelf solutions
RAG Technology Approach: Best-practice retrieval with multi-index strategies, tuned prompts, fine-tuning on proprietary data to eliminate hallucinations, custom vector DB selection, and hybrid search strategies tailored to data characteristics
RAG Approach
Deployment Model: On-prem or private cloud only - complete data control with no cloud vendor dependencies, custom infrastructure managed by client, strong encryption and access controls integrated with existing security stack
Enterprise Readiness: ISO 27001 certification, GDPR and CCPA compliance, custom compliance measures for HIPAA or industry-specific requirements, AES-256 encryption, RBAC integrated with existing identity management
Pricing Model: Project-based $50K-$500K+ initial development plus optional ongoing maintenance contracts - higher upfront cost but no recurring SaaS fees, full solution ownership
Use Case Fit: Enterprises with legacy systems needing specialized AI integration, domain-tuned models with insider terminology, hybrid AI agents handling complex transactional tasks, on-premises deployment with complete data sovereignty
NOT A PLATFORM: Does not offer self-service software, API-as-a-service, or turnkey solutions - exclusively custom development consultancy requiring sales engagement and multi-month build cycles
Competitive Positioning: Competes with other AI consultancies (Azumo, internal AI teams) and enterprise RAG platforms - differentiates through 200+ client track record, regulated industry expertise (banking, legal), and complete customization
Platform Type: NO-CODE CHATBOT BUILDER WITH RAG - SMB-focused conversational AI platform emphasizing rapid deployment over pure RAG infrastructure
Core Mission: Enable small to mid-size businesses to quickly convert website content into chatbot knowledge base with multi-channel support and minimal technical overhead
Target Market: SMB customer service teams, support departments, and agencies building chatbots for clients—NOT primarily developer or RAG infrastructure market
RAG Implementation: Retrieval-augmented generation for grounding responses in crawled/uploaded content with fallback handling—focused on accuracy over advanced RAG techniques
API Availability: REST API for bot management, content uploads, and answer retrieval—BUT platform emphasizes no-code dashboard over API-first development
Managed Service: Fully hosted SaaS with guided dashboard, pre-built integrations, and 7-day free trial—no infrastructure management required
Pricing Model: Tiered subscription (~$79/month Growth, ~$259/month Pro/Scale, custom Enterprise) scaling with message counts, bots, and page limits
Support Model: Email support, "Submit a Request" form, active blog, Product Hunt community, agency partner program—standard SaaS support without dedicated teams on lower tiers
Security Posture: HTTPS/TLS encryption, encrypted storage, workspace isolation—NO formal SOC 2, ISO 27001, or HIPAA certifications publicly disclosed
LIMITATION - Not Pure RAG-as-a-Service: Platform combines chatbot building with RAG capabilities—not dedicated RAG infrastructure API like Ragie.ai or Pinecone Assistant
LIMITATION - Manual Retraining: No automatic content syncing or scheduled reindexing—requires manual button-click to update knowledge base when sources change
LIMITATION - Limited RAG Features: Missing advanced capabilities like hybrid search, reranking, knowledge graphs, multi-query fusion found in enterprise RAG platforms
Comparison Validity: Comparison to pure RAG-as-a-Service platforms requires context—SiteGPT emphasizes no-code chatbot deployment with RAG vs developer-focused RAG infrastructure APIs
Use Case Fit: Perfect for SMBs wanting quick website-based chatbot deployment, support teams needing native multi-channel integrations (Slack, Messenger, Zendesk), and agencies building chatbots for clients without coding—NOT ideal for developers needing flexible RAG infrastructure APIs
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
After analyzing features, pricing, performance, and user feedback, both Deviniti and SiteGPT are capable platforms that serve different market segments and use cases effectively.
When to Choose Deviniti
You value strong compliance and security focus
Self-hosted solutions for data privacy
Domain expertise in regulated industries
Best For: Strong compliance and security focus
When to Choose SiteGPT
You value extremely easy setup - minutes to launch
Excellent website content training capabilities
Seamless integration with major support platforms
Best For: Extremely easy setup - minutes to launch
Migration & Switching Considerations
Switching between Deviniti and SiteGPT 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
Deviniti starts at custom pricing, while SiteGPT begins at $49/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 Deviniti and SiteGPT 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 15, 2025 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.
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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.
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