What are the main differences between Glean and Lindy.ai?

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. Lindy.ai leads in Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make and Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions with 81/100 overall rating and N/A% accuracy. Key technical difference: Glean focuses on Permissions-aware AI with real-time access control enforcement while Lindy.ai emphasizes 5,000+ app integrations via Pipedream Connect partnership (conservative '200+ integrations' claim). Pricing differs by $50/month.

Which is better for enterprises: Glean or Lindy.ai?

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 Glean cost vs Lindy.ai?

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

Can I migrate from Lindy.ai to Glean?

Migration from Lindy.ai 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 Lindy.ai 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). Lindy.ai supports 5,000+ apps via Pipedream Connect (2,500+ pre-built actions), Messaging: Slack (full integration), WhatsApp (Personal/Business APIs), Microsoft Teams, Telegram, Discord, Twilio SMS, CRM: Salesforce (24 actions, 8 triggers), HubSpot (deep integration), Pipedrive, Zoho CRM, Productivity: Notion (16 actions, 7 triggers), Airtable (full CRUD), Google Workspace (Gmail, Calendar, Docs, Sheets, Drive), Embedding: Popup widgets, iFrame embeds, public links with domain restrictions (8 integrations available). Glean provides comprehensive API access. Integration coverage is comparable.

What are the main differences between Glean and Lindy.ai?

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

Which is better for enterprises: Glean or Lindy.ai?

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

How much does Glean cost vs Lindy.ai?

Glean starts at custom pricing/month (subscription model), while Lindy.ai 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 Lindy.ai?

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

What integrations do Glean and Lindy.ai support?

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

Glean vs Lindy.ai

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

More about Lindy.ai 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 Lindy.ai 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 Lindy.ai, 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 Lindy.ai if: you value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make

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 Lindy.ai

Lindy.ai is ai-powered personal assistant for workflow automation. No-code AI agent platform positioning as 'AI employees' for workflow automation, NOT developer-focused RAG platform. 5,000+ integrations via Pipedream, Claude Sonnet 4.5 default, $5.1M revenue (Oct 2024), 4.9/5 G2 rating. Critical limitation: No public API or SDKs available. Founded in 2023, headquartered in San Francisco, CA, USA, the platform has established itself as a reliable solution in the RAG space.

Overall Rating

81/100

Starting Price

Custom

Key Differences at a Glance

In terms of user ratings, Glean in overall satisfaction. From a cost perspective, Lindy.ai offers more competitive entry pricing. The platforms also differ in their primary focus: Enterprise RAG versus AI Assistant. 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	Lindy.ai	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	Document Formats – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB per file) Cloud Integrations – Drive, OneDrive, Dropbox, Notion, SharePoint, auto 24-hour sync ⚠️ Storage Limits – 1M chars (Free), 20M (Pro), 50M (Business) ⚠️ Search Constraint – Fuzziness <100 limits to first 1,500 files	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	Anthropic Claude – Sonnet 4.5 (default), Sonnet 3.7, Haiku 3.5 OpenAI – GPT-5, GPT-5 Codex, GPT-4o, GPT-4 Turbo, o3, o1 Google Gemini – 2.5 Pro, 2.5 Flash, 2.0 Flash Per-Action Selection – Manual model choice affects credit consumption ⚠️ No Auto-Routing – No dynamic model switching	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 – Semantic + keyword with Fuzziness slider (0-100) Hallucination Reduction – Human confirmation before actions ⚠️ NO Published Benchmarks – No RAG accuracy or latency metrics ⚠️ Black Box – Vector database and embedding models undisclosed	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	⚠️ CRITICAL LIMITATION – NO public REST API, GraphQL, or SDKs Workarounds Only – Inbound webhooks, HTTP actions, Code sandboxes (~150ms) User-Focused Docs – Lindy Academy for business users, NO API reference	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	5,000+ Apps – Via Pipedream Connect with 2,500+ ready actions Messaging – Slack, WhatsApp, Teams, Telegram, Discord, Twilio SMS CRM – Salesforce (24 actions), HubSpot, Pipedrive, Zoho CRM Productivity – Notion, Airtable, Google Workspace (Gmail, Calendar, Docs, Sheets, Drive) Webhooks + HTTP – Inbound triggers and outbound API calls	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	Widget – Custom name, accent color, logo for expanded/collapsed states Domain Restrictions – Control allowed deployment domains Memory Snippets – Learning preferences saved across sessions ⚠️ White-Label Unclear – Complete branding removal not explicitly confirmed	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	Workflow Performance – Agent action visibility with recent runs Audit Logs – User actions, data access on Business/Enterprise plans ⚠️ Log Retention – 1 day (Free) severely constrains troubleshooting ⚠️ NO RAG Metrics – Cannot track retrieval precision or recall	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: $0 – 400 credits, 1M char knowledge base Pro: $49.99 – 5,000 credits, 20M chars, phone calls, Lindy branding Business: $199.99-$299.99 – 20K-30K credits, 50M chars, custom branding Enterprise: Custom – SSO, SCIM, dedicated support, custom training ⚠️ Unpredictable Costs – Credit depletion speed is primary user complaint	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	SOC 2 Type II, HIPAA, GDPR, PIPEDA, CCPA – Comprehensive compliance Encryption – AES-256 at rest, TLS 1.2+ in transit Enterprise SSO + SCIM – Automated user lifecycle management ⚠️ US Data Residency Only – No explicit EU option documented	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	✅ 4.9/5 G2 Rating – 109+ reviews validate ease of use Agent Builder – Natural language prompts create complex agents Setup Speed – 30 seconds vs 15-60 minutes with Zapier/Make Drag-Drop Builder – Visual workflow construction, zero coding	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	Email Support – support@lindy.ai, security@lindy.ai, privacy@lindy.ai Slack + Forum – community.lindy.ai for peer support 100+ Templates – Pre-built workflow automation scenarios ⚠️ Support Inconsistency – Mixed reviews on responsiveness for lower tiers	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	⚠️ NOT a RAG Platform – Workflow automation for business users vs developers Black-Box RAG – Hybrid search with no exposed retrieval controls NO API, SDKs, CLI – No programmatic access for developers	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	✅ Primary Advantage – 4.9/5 G2 usability with 5,000+ integrations Financial Validation – $5.1M revenue, $50M+ funding (Menlo, Battery, Coatue) Claude Sonnet 4.5 Default – Drove 10x customer growth ⚠️ Pricing Unpredictability – Credit-based model most common complaint	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	Default: Claude Sonnet 4.5 – 'Almost no one overrides' per Anthropic Claude Family – Sonnet 4.5, 3.7, Haiku 3.5 (200K context) OpenAI – GPT-5, GPT-4o, GPT-4 Turbo, o3, o1 Google – Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash	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	Hybrid Search – Semantic + keyword with Fuzziness slider (0-100) Document Processing – PDF, DOCX, XLSX, CSV, TXT, HTML (20MB) Cloud Integration – Auto 24-hour sync (Drive, OneDrive, Dropbox, Notion, SharePoint) ⚠️ Black Box – Vector database, embedding models undisclosed ⚠️ NO Developer Control – Cannot customize retrieval parameters	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	Sales Automation – Lead qualification, scoring, enrichment, CRM syncing Customer Support – Email triage, routing, FAQ, escalation Voice Agents (Gaia) – 30+ language phone automation with call transfer ⚠️ NOT Ideal For – Developers needing RAG APIs, EU residency	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	SOC 2 Type II + HIPAA with BAA – Independently audited GDPR + PIPEDA + CCPA – Multi-region privacy compliance AES-256 + TLS 1.2+ – Encryption at rest and in transit ⚠️ NO ISO 27001 – May limit enterprise procurement	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: $0 – 400 credits, 1M chars, 1-day logs Pro: $49.99 – 5K credits, 20M chars, phone calls Business: $199.99-$299.99 – 20K-30K credits, 50M chars, branding ⚠️ PRIMARY COMPLAINT – Unpredictable credit consumption difficult to budget	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	Lindy Academy – Step-by-step tutorials for business users 100+ Templates – Pre-built workflows for common scenarios Slack + Forum – community.lindy.ai for peer support ⚠️ NO Developer Docs – No API reference or technical architecture	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	NO Public REST API – Cannot manage agents programmatically Black Box RAG – Vector database, embeddings undisclosed Search Constraint – Fuzziness <100 limits to 1,500 files Credit Unpredictability – Most common user complaint about costs ⚠️ Platform Mismatch – Workflow automation vs RAG comparison misleading	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	Agent Autonomy Focus – Task execution vs conversational chatbot Multi-Lingual – 30+ (voice), 50+ (transcription), 85+ (text) ✅ Lead Capture – Real-time qualification, CRM sync (70% higher conversion claimed) Agent Evals – Benchmarking with regression prevention	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	N/A	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	N/A	✅ #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	N/A	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
Autopilot & Computer Use ( Core Differentiator)
N/A	Unique Capability – AI agents operate cloud-based virtual computers No API Required – Interact with any website/application through computer vision E2B Sandboxes – Secure Python/JavaScript execution (~150ms startup) ✅ Market Differentiation – Computer Use unique among no-code automation platforms	N/A
Multi- Agent Collaboration
N/A	Societies of Lindies – Multiple specialized agents with delegation rules Context Preservation – Full conversation history passed between agents Use Cases – Sales (SDR → AE → CS), Support (Triage → Technical → Escalation) Learning Shared – Feedback across agent society for collective improvement	N/A
Lead Capture & Conversion
N/A	Real-Time Qualification – AI evaluates lead quality during conversation Enrichment – Firmographic data, UTM attribution, validation Auto CRM Sync – Qualified leads flow to Salesforce, HubSpot, Pipedrive, Zoho ✅ 70% Higher Conversion – Claimed vs traditional forms (vendor claim)	N/A

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Final Thoughts

Final Verdict: Glean vs Lindy.ai

After analyzing features, pricing, performance, and user feedback, both Glean and Lindy.ai 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 Lindy.ai

You value exceptional no-code usability: 4.9/5 g2 rating, 30-second setup vs 15-60 min with zapier/make
Massive integration ecosystem: 5,000+ apps via Pipedream Connect with 2,500+ pre-built actions
Claude Sonnet 4.5 default drives 10x customer growth - best-in-class language understanding

Best For: Exceptional no-code usability: 4.9/5 G2 rating, 30-second setup vs 15-60 min with Zapier/Make

Migration & Switching Considerations

Switching between Glean and Lindy.ai 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 Lindy.ai 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 Lindy.ai 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: February 3, 2026 | 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.

Glean vs Lindy.ai