What are the main differences between Glean and SciPhi R2R?

Glean excels 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, scoring 96/100 in user ratings with 90% accuracy. SciPhi R2R leads in State-of-the-art retrieval accuracy and Open-source with strong community with 89/100 overall rating and 92% accuracy. Key technical difference: Glean focuses on Permissions-aware AI with real-time access control enforcement while SciPhi R2R emphasizes Multimodal ingestion (.pdf, .json, .png, .mp3, etc.). Pricing differs by $50/month.

Which is better for enterprises: Glean or SciPhi R2R?

Glean offers SOC 2 compliance for enterprise security. HIPAA compliance is available in Glean. For scalability, SciPhi R2R supports on-premise deployment for maximum control. Glean leads with 96/100 enterprise readiness score (98/100 enterprise features).

How much does Glean cost vs SciPhi R2R?

Glean starts at $50/monthly (enterprise model), while SciPhi R2R begins at contact sales/monthly (freemium model). SciPhi R2R provides a free tier. Pricing is relatively comparable. See our detailed pricing breakdown for complete tier comparisons.

Can I migrate from SciPhi R2R to Glean?

Migration from SciPhi R2R 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 Glean and SciPhi R2R support?

Glean integrates with 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 total). SciPhi R2R supports OpenAI, Anthropic Claude, Local LLMs, PostgreSQL, S3 storage (10 integrations available). Both offer REST APIs for custom integrations. SciPhi R2R provides 25% more integrations, with webhook support for real-time data sync.

What are the main differences between Glean and SciPhi?

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

Which is better for enterprises: Glean or SciPhi?

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

How much does Glean cost vs SciPhi?

Glean starts at custom pricing/month (subscription model), while SciPhi 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 Glean to SciPhi?

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

What integrations do Glean and SciPhi support?

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

Glean vs SciPhi

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

More about SciPhi More about Glean 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 Glean and SciPhi 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 Glean and SciPhi, 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 Glean if: you value permissions-aware ai is genuinely differentiated - real-time enforcement across 100+ datasources addresses critical enterprise concern
Choose SciPhi if: you value state-of-the-art retrieval accuracy

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

About SciPhi

SciPhi is the most advanced ai retrieval system. R2R is a production-ready AI retrieval system supporting Retrieval-Augmented Generation with advanced features including multimodal ingestion, hybrid search, knowledge graphs, and a Deep Research API for multi-step reasoning across documents and the web. Founded in 2023, headquartered in San Francisco, CA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

89/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, Glean in overall satisfaction. From a cost perspective, SciPhi offers more competitive entry pricing. The platforms also differ in their primary focus: Enterprise RAG versus RAG Platform. 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

Glean	SciPhi	CustomGPTRECOMMENDED
Data Ingestion & Knowledge Sources
✅ 100+ native connectors – Cloud storage, CRM, collaboration platforms plus Indexing API File formats – PDFs, Word, HTML, spreadsheets, structured data Real-time sync – Content within minutes, permission changes immediate ⚠️ Initial indexing – Few days depending on volume Scale – 10K-100K users, hundreds of millions of documents	Handles 40 + formats—from PDFs and spreadsheets to audio—at massive scale Reference. Async ingest auto-scales, crunching millions of tokens per second—perfect for giant corpora Benchmark details. Ingest via code or API, so you can tap proprietary databases or custom pipelines with ease.	1,400+ file formats – PDF, DOCX, Excel, PowerPoint, Markdown, HTML + auto-extraction from ZIP/RAR/7Z archives Website crawling – Sitemap indexing with configurable depth for help docs, FAQs, and public content Multimedia transcription – AI Vision, OCR, YouTube/Vimeo/podcast speech-to-text built-in Cloud integrations – Google Drive, SharePoint, OneDrive, Dropbox, Notion with auto-sync Knowledge platforms – Zendesk, Freshdesk, HubSpot, Confluence, Shopify connectors Massive scale – 60M words (Standard) / 300M words (Premium) per bot with no performance degradation
L L M Model Options
✅ 15+ LLMs supported – GPT-4, Gemini 1.5 Pro, Claude 3 Sonnet Per-step model selection – Different LLMs for each workflow step Temperature controls – Factual, balanced, or creative output settings BYOK support – Glean Universal Key or Customer Key options Automatic routing – Zero data retention, optimizes top models per query	LLM-agnostic—GPT-4, Claude, Llama 2, you choose. Pick, fine-tune, or swap models anytime to balance cost and performance Model options.	GPT-5.1 models – Latest thinking models (Optimal & Smart variants) GPT-4 series – GPT-4, GPT-4 Turbo, GPT-4o available Claude 4.5 – Anthropic's Opus available for Enterprise Auto model routing – Balances cost/performance automatically Zero API key management – All models managed behind the scenes
Performance & Accuracy
✅ 74% human-agreement rate – 25% precision increases 141% ROI over 3 years – Forrester Total Economic Impact 110 hours saved per employee annually – Productivity gains Hallucination prevention – RAG grounding, permissions, citations	Hybrid search (dense + keyword) keeps retrieval fast and sharp. Knowledge-graph boosts (HybridRAG) drive up to 150 % better accuracy Sub-second latency—even at enterprise scale.	Sub-second responses – Optimized RAG with vector search and multi-layer caching Benchmark-proven – 13% higher accuracy, 34% faster than OpenAI Assistants API Anti-hallucination tech – Responses grounded only in your provided content OpenGraph citations – Rich visual cards with titles, descriptions, images 99.9% uptime – Auto-scaling infrastructure handles traffic spikes
Developer Experience ( A P I & S D Ks)
✅ Client & Indexing APIs – Search, Chat, Agents, Documents, Governance Official SDKs – Python, Java, Go, TypeScript with async support Web SDK – Embeddable chat, search, autocomplete, recommendations components Framework integrations – LangChain, CrewAI, OpenAI Assistants, MCP Server Authentication – OAuth 2.0, user-scoped tokens, impersonation support	REST API plus a Python client (`R2RClient`) handle ingest and query tasks Docs and GitHub repos offer deep dives and open-source starter code SciPhi GitHub.	REST API – Full-featured for agents, projects, data ingestion, chat queries Python SDK – Open-source `customgpt-client` with full API coverage Postman collections – Pre-built requests for rapid prototyping Webhooks – Real-time event notifications for conversations and leads OpenAI compatible – Use existing OpenAI SDK code with minimal changes
Integrations & Channels
Slack & Teams – Official apps, Gleanbot auto-responses, Real-Time Search API Browser extensions – Chrome (300K+ users), Firefox, Safari, Edge ⚠️ No WhatsApp/Telegram – Designed for internal enterprise use only SSO protocols – OIDC, SAML 2.0 with Okta, Microsoft Entra	Ships a REST RAG API—plug it into websites, mobile apps, internal tools, or even legacy systems. No off-the-shelf chat widget; you wire up your own front end API snippet.	Website embedding – Lightweight JS widget or iframe with customizable positioning CMS plugins – WordPress, WIX, Webflow, Framer, SquareSpace native support 5,000+ app ecosystem – Zapier connects CRMs, marketing, e-commerce tools MCP Server – Integrate with Claude Desktop, Cursor, ChatGPT, Windsurf OpenAI SDK compatible – Drop-in replacement for OpenAI API endpoints LiveChat + Slack – Native chat widgets with human handoff capabilities
Customization & Branding
UI customization – Custom logos, color schemes, background images Custom subdomains – your-company.glean.com Chat widget styling – CSS positioning, width/height, custom containers ⚠️ Limited white-labeling – Glean branding may remain visible	Fully bespoke—design any UI you want and skin it to match your brand. SciPhi focuses on the back end, so front-end look-and-feel is entirely up to you.	Full white-labeling included – Colors, logos, CSS, custom domains at no extra cost 2-minute setup – No-code wizard with drag-and-drop interface Persona customization – Control AI personality, tone, response style via pre-prompts Visual theme editor – Real-time preview of branding changes Domain allowlisting – Restrict embedding to approved sites only
Core R A G Features
✅ Hybrid search – Semantic (vector-based) + lexical (keyword) approaches Knowledge Graph Framework – Proprietary anchors across enterprise data LLM Control Layer – Optimizes outputs with context-aware query rewriting Grounded answers – Source citations with every response	N/A	N/A
Permissions- Aware A I ( Core Differentiator)
✅ Real-time access control – Across all 100+ datasources Identity crawling – Users, groups, memberships, permission models Connector-level mirroring – Respects native permissions (Salesforce, GDrive) Zero-trust architecture – Users only see authorized content	N/A	N/A
Multi- Language & Localization
Full support – English, German, Japanese (semantic, assistant, UI) Partial support – French, Spanish 20+ languages – Early access or keyword search	N/A	N/A
Observability & Monitoring
Insights Dashboard – DAU/WAU/MAU, Search Session Satisfaction metrics Usage metrics – Searches and chats per user per week 270-day data retention – Department-level filtering Audit logging – User activity, access patterns, SIEM export	Dev dashboard shows real-time logs, latency, and retrieval quality Dashboard. Hook into Prometheus, Grafana, or other tools for deep monitoring.	Real-time dashboard – Query volumes, token usage, response times Customer Intelligence – User behavior patterns, popular queries, knowledge gaps Conversation analytics – Full transcripts, resolution rates, common questions Export capabilities – API export to BI tools and data warehouses
Pricing & Scalability
⚠️ No public pricing – Enterprise sales only Estimated cost – ~$45-50+ per user/month Minimum ACV – ~$60K (approximately 100 users minimum) No free trial – Paid POCs up to $70K Annual contracts – Per-seat model, 7-12% renewal increases, FlexCredits for premium	Free tier plus a $25/mo Dev tier for experiments. Enterprise plans with custom pricing and self-hosting for heavy traffic Pricing.	Standard: $99/mo – 60M words, 10 bots Premium: $449/mo – 300M words, 100 bots Auto-scaling – Managed cloud scales with demand Flat rates – No per-query charges
Security & Privacy
✅ SOC 2 Type II, ISO 27001, HIPAA, GDPR ⚠️ No FedRAMP – Not for US federal government AES-256 at rest, TLS 1.2+ in transit Single-tenant – Isolated per customer, Cloud-Prem option	Customer data stays isolated in SciPhi Cloud; self-host for full control. Standard encryption in transit and at rest; tune self-hosted setups to meet any regulation.	SOC 2 Type II + GDPR – Third-party audited compliance Encryption – 256-bit AES at rest, SSL/TLS in transit Access controls – RBAC, 2FA, SSO, domain allowlisting Data isolation – Never trains on your data
No- Code Interface & Usability
✅ Natural language configuration – Describe goals in plain language Visual builder – Drag-and-drop workflow creation AI-assisted creation – Auto-generates draft agents 30+ prebuilt agents – Sales, engineering, IT, HR	No no-code UI—built for devs to wire into their own front ends. Dashboard is utilitarian: good for testing and monitoring, not for everyday business users.	2-minute deployment – Fastest time-to-value in the industry Wizard interface – Step-by-step with visual previews Drag-and-drop – Upload files, paste URLs, connect cloud storage In-browser testing – Test before deploying to production Zero learning curve – Productive on day one
Support & Ecosystem
Standard support – 24x5 via portal, email, Slack Connect Premium support – 24x7 critical issues with additional fee ✅ Excellent documentation – developers.glean.com with OpenAPI specs GitHub repositories – SDK examples and sample projects	Community help via Discord and GitHub; Enterprise customers get dedicated support Open-source core encourages community contributions and integrations.	Comprehensive docs – Tutorials, cookbooks, API references Email + in-app support – Under 24hr response time Premium support – Dedicated account managers for Premium/Enterprise Open-source SDK – Python SDK, Postman, GitHub examples 5,000+ Zapier apps – CRMs, e-commerce, marketing integrations
Conversation & Agent Features
Conversation history – Thread tracking in Slack, History tab Version control – All agent versions auto-saved ⚠️ No lead capture – Designed for internal enterprise use	N/A	N/A
Deployment Options
Cloud (SaaS) – Standard Glean infrastructure deployment Cloud-Prem – Customer-hosted in AWS or GCP Single-tenant architecture – Isolated per customer	N/A	N/A
R A G-as-a- Service Assessment
✅ TRUE RAG PLATFORM – API-first with comprehensive tools Data flexibility – 100+ connectors, Indexing API Best for – Large enterprises requiring permissions-aware RAG	Platform Type – HYBRID RAG-AS-A-SERVICE combining open-source R2R with managed SciPhi Cloud Core Mission – Bridge experimental RAG models to production-ready systems with deployment flexibility Developer Target – Built for OSS community, startups, enterprises emphasizing developer flexibility and control RAG Leadership – HybridRAG (150% accuracy), millions tokens/second, 40+ formats, sub-second latency ✅ Open-source R2R core on GitHub enables customization, portability, avoids vendor lock-in ⚠️ NO no-code features – No chat widgets, visual builders, pre-built integrations or dashboards	Platform type – TRUE RAG-AS-A-SERVICE with managed infrastructure API-first – REST API, Python SDK, OpenAI compatibility, MCP Server No-code option – 2-minute wizard deployment for non-developers Hybrid positioning – Serves both dev teams (APIs) and business users (no-code) Enterprise ready – SOC 2 Type II, GDPR, WCAG 2.0, flat-rate pricing
Competitive Positioning
✅ Unique strength – Real-time permissions-aware AI across 100+ datasources Proven ROI – 141% ROI, 110 hours/employee saved ⚠️ Pricing barrier – ~$50/user/month, ~$60K minimum	Market position – Developer-first RAG infrastructure combining open-source flexibility with managed cloud service Target customers – Dev teams needing high-performance RAG, enterprises requiring millions tokens/second ingestion Key competitors – LangChain/LangSmith, Deepset/Haystack, Pinecone Assistant, custom RAG implementations Competitive advantages – HybridRAG (150% accuracy boost), async auto-scaling, 40+ formats, sub-second latency Pricing advantage – Free tier + $25/mo Dev plan; open-source foundation enables cost optimization Use case fit – Massive document volumes, advanced RAG needs, self-hosting control requirements	Market position – Leading RAG platform balancing enterprise accuracy with no-code usability. Trusted by 6,000+ orgs including Adobe, MIT, Dropbox. Key differentiators – #1 benchmarked accuracy • 1,400+ formats • Full white-labeling included • Flat-rate pricing vs OpenAI – 10% lower hallucination, 13% higher accuracy, 34% faster vs Botsonic/Chatbase – More file formats, source citations, no hidden costs vs LangChain – Production-ready in 2 min vs weeks of development
A I Models
✅ 15+ LLMs – GPT-4, Gemini 1.5 Pro, Claude 3 with per-step selection Temperature controls – Factual, balanced, or creative output BYOK support – Customer Key for data sovereignty	LLM-Agnostic Architecture – GPT-4, GPT-3.5, Claude, Llama 2, and other open-source models Model Flexibility – Easy swapping to balance cost/performance without vendor lock-in Custom Support – Configure any LLM via API including fine-tuned or proprietary models Embedding Providers – Multiple embedding options for semantic search and vector generation ✅ Full control over temperature, max tokens, and generation parameters	OpenAI – GPT-5.1 (Optimal/Smart), GPT-4 series Anthropic – Claude 4.5 Opus/Sonnet (Enterprise) Auto-routing – Intelligent model selection for cost/performance Managed – No API keys or fine-tuning required
R A G Capabilities
✅ Hybrid search – Semantic + lexical for accuracy Knowledge Graph Framework – Proprietary anchors across data 74% human-agreement – 25% precision increases	HybridRAG Technology – Vector search + knowledge graphs for 150% accuracy improvement Hybrid Search – Dense vector + keyword with reciprocal rank fusion Agentic RAG – Reasoning agent for autonomous research across documents and web Multimodal Ingestion – 40+ formats (PDFs, spreadsheets, audio) at massive scale ✅ Millions of tokens/second async auto-scaling ingestion throughput ✅ Sub-second latency even at enterprise scale with optimized operations	GPT-4 + RAG – Outperforms OpenAI in independent benchmarks Anti-hallucination – Responses grounded in your content only Automatic citations – Clickable source links in every response Sub-second latency – Optimized vector search and caching Scale to 300M words – No performance degradation at scale
Use Cases
Enterprise knowledge – Unified search across 100+ datasources Permissions-aware – Healthcare, finance, legal hierarchies AI agents – 30+ prebuilt for sales, engineering, IT	Enterprise Knowledge – Process millions of documents with knowledge graph relationships Support Automation – RAG-powered support bots with accurate, grounded responses Research & Analysis – Agentic RAG for autonomous research across collections and web Compliance & Legal – Large document repositories with precise citation tracking Internal Docs – Developer-focused RAG for code, API references, technical knowledge Custom AI Apps – API-first architecture integrates into any application or workflow	Customer support – 24/7 AI handling common queries with citations Internal knowledge – HR policies, onboarding, technical docs Sales enablement – Product info, lead qualification, education Documentation – Help centers, FAQs with auto-crawling E-commerce – Product recommendations, order assistance
Security & Compliance
✅ SOC 2 Type II, ISO 27001, HIPAA, GDPR ⚠️ NO FedRAMP – Not for US federal government Single-tenant – Isolated per customer, Cloud-Prem option	Data Isolation – Single-tenant architecture with isolated customer data in SciPhi Cloud Self-Hosting Option – On-premise deployment for complete data control in regulated industries Encryption Standards – TLS in transit, AES-256 at rest encryption Access Controls – Document-level granular permissions with role-based access control (RBAC) ✅ Open-source R2R core enables security audits and compliance validation ✅ Self-hosted deployments tunable for HIPAA, SOC 2, and other regulations	SOC 2 Type II + GDPR – Regular third-party audits, full EU compliance 256-bit AES encryption – Data at rest; SSL/TLS in transit SSO + 2FA + RBAC – Enterprise access controls with role-based permissions Data isolation – Never trains on customer data Domain allowlisting – Restrict chatbot to approved domains
Pricing & Plans
⚠️ No public pricing – Enterprise sales only ~$45-50+/user/month – Estimated cost from reports ~$60K minimum ACV – Approximately 100 users minimum	Free Tier – Generous no-credit-card tier for experimentation and development Developer Plan – $25/month for individual developers and small projects Enterprise Plans – Custom pricing based on scale, features, and support Self-Hosting – Open-source R2R available free (infrastructure costs only) ✅ Flat subscription pricing without per-query or per-document charges ✅ Managed cloud handles infrastructure, deployment, scaling, updates, maintenance	Standard: $99/mo – 10 chatbots, 60M words, 5K items/bot Premium: $449/mo – 100 chatbots, 300M words, 20K items/bot Enterprise: Custom – SSO, dedicated support, custom SLAs 7-day free trial – Full Standard access, no charges Flat-rate pricing – No per-query charges, no hidden costs
Support & Documentation
24x5 standard support – Portal, email, Slack Connect ✅ Excellent documentation – developers.glean.com with OpenAPI Official SDKs – Python, Java, Go, TypeScript	Comprehensive Docs – Detailed docs at r2r-docs.sciphi.ai covering all features and endpoints GitHub Repository – Active open-source development at github.com/SciPhi-AI/R2R with code examples Community Support – Discord community and GitHub issues for peer support Enterprise Support – Dedicated channels for enterprise customers with SLAs ✅ Python client (R2RClient) with extensive examples and starter code ✅ Developer dashboard with real-time logs, latency, and retrieval quality metrics	Documentation hub – Docs, tutorials, API references Support channels – Email, in-app chat, dedicated managers (Premium+) Open-source – Python SDK, Postman, GitHub examples Community – User community + 5,000 Zapier integrations
Limitations & Considerations
⚠️ High cost barrier – ~$50/user/month, ~$60K minimum ⚠️ NO FedRAMP – Not for US federal government ⚠️ No consumer channels – No WhatsApp, Telegram Complex implementation – Indexing takes days	⚠️ Developer-Focused – Requires technical expertise to build and wire custom front ends ⚠️ Infrastructure Requirements – Self-hosting needs GPU infrastructure and DevOps expertise ⚠️ Integration Effort – API-first design means building your own chat UI ⚠️ Learning Curve – Advanced features like knowledge graphs require RAG concept understanding ⚠️ Community Support Limits – Open-source support relies on community unless enterprise plan	Managed service – Less control over RAG pipeline vs build-your-own Model selection – OpenAI + Anthropic only; no Cohere, AI21, open-source Real-time data – Requires re-indexing; not ideal for live inventory/prices Enterprise features – Custom SSO only on Enterprise plan
Core Agent Features
✅ Autonomous AI agents – Understand tasks, execute autonomously Natural language builder – Describe goals, auto-designs workflows 100+ native actions – Slack, Teams, Salesforce, Jira, GitHub	Agentic RAG – Reasoning agent for autonomous research across documents/web with multi-step problem solving Advanced Toolset – Semantic search, metadata search, document retrieval, web search, web scraping capabilities Multi-Turn Context – Stateful dialogues maintaining conversation history via conversation_id for follow-ups Citation Transparency – Detailed responses with source citations for fact-checking and verification ⚠️ No Pre-Built UI – API-first platform requires custom front-end development ⚠️ No Lead Analytics – Lead capture and dashboards must be implemented at application layer	Custom AI Agents – Autonomous GPT-4/Claude agents for business tasks Multi-Agent Systems – Specialized agents for support, sales, knowledge Memory & Context – Persistent conversation history across sessions Tool Integration – Webhooks + 5,000 Zapier apps for automation Continuous Learning – Auto re-indexing without manual retraining
Additional Considerations
⚠️ Cannot create content directly – Focuses on search/retrieval Large organization focus – May be overkill for smaller teams Training investment – Upskilling employees needed	Advanced extras like GraphRAG and agentic flows push beyond basic Q&A Great fit for enterprises needing deeply customized, fully integrated AI solutions.	Time-to-value – 2-minute deployment vs weeks with DIY Always current – Auto-updates to latest GPT models Proven scale – 6,000+ organizations, millions of queries Multi-LLM – OpenAI + Claude reduces vendor lock-in
Core Chatbot Features
Glean Chat interface – Natural conversations with company knowledge Multi-turn conversations – Context awareness across turns Streaming responses – Real-time with source citations	Core RAG engine serves retrieval-grounded answers; hook it to your UI for multi-turn chat. Multi-lingual if the LLM you pick supports it. Lead-capture or human handoff flows are yours to build through the API.	✅ #1 accuracy – Median 5/5 in independent benchmarks, 10% lower hallucination than OpenAI ✅ Source citations – Every response includes clickable links to original documents ✅ 93% resolution rate – Handles queries autonomously, reducing human workload ✅ 92 languages – Native multilingual support without per-language config ✅ Lead capture – Built-in email collection, custom forms, real-time notifications ✅ Human handoff – Escalation with full conversation context preserved
Customization & Flexibility ( Behavior & Knowledge)
Natural language config – Build agents without technical expertise Visual builder – Drag-and-drop workflow creation 30+ templates – Sales, engineering, IT, HR	Add new sources, tweak retrieval, mix collections—everything’s programmable. Chain API calls, re-rank docs, or build full agentic flows	Live content updates – Add/remove content with automatic re-indexing System prompts – Shape agent behavior and voice through instructions Multi-agent support – Different bots for different teams Smart defaults – No ML expertise required for custom behavior

Ready to experience the CustomGPT difference?

Start Free Trial →

Final Thoughts

Final Verdict: Glean vs SciPhi

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

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

When to Choose SciPhi

You value state-of-the-art retrieval accuracy
Open-source with strong community
Production-ready with proven scalability

Best For: State-of-the-art retrieval accuracy

Migration & Switching Considerations

Switching between Glean and SciPhi 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

Glean starts at $50/month, while SciPhi begins at custom pricing. 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 Glean and SciPhi 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: January 19, 2026 | This comparison is regularly reviewed and updated to reflect the latest platform capabilities, pricing, and user feedback.

Ready to Get Started with CustomGPT?

Join thousands of businesses that trust CustomGPT for their AI needs. Choose the path that works best for you.

Start Your Free Trial

Experience the full power of CustomGPT risk-free.

Get Started

RECOMMENDED

Request a Demo

See how CustomGPT can transform your business operations.

Get Started

Contact Sales

Get personalized guidance from our expert team.

Get Started

Why Choose CustomGPT?

97% Accuracy

Industry-leading benchmarks

5-Min Setup

Get started instantly

24/7 Support

Expert help when you need it

Enterprise Ready

Scale with confidence

Trusted by leading companies worldwide

CustomGPT

The most accurate RAG-as-a-Service API. Deliver production-ready reliable RAG applications faster. Benchmarked #1 in accuracy and hallucinations for fully managed RAG-as-a-Service API.

Get API Key Documentation Read our benchmarks

Get in touch
Contact Us

Join the Discussion

Loading comments...

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.

Glean vs SciPhi