Personal assistant vGlean:GO 2026 Rank: #623
Glean ✓
Work AI connected to your company's tools, data, and context
Verdict
A quick read before you dig into the full page.
- Best if
- You are engineers and need: Finding information across various company apps
- Skip if
- No free tier or self-serve signup, demo required to get started
- Pick this when
- Connects to 100+ enterprise tools and data sources
Considering Notis instead? Compare side by side
Overview
Every answer is permission-aware and traceable back to its source, so people only see what they're already allowed to see. Teams can build custom agents and multi-step workflows without writing code, choosing from 40+ LLMs including GPT, Gemini and Claude models through Glean's Model Hub. Glean's context layer also cuts down on token waste, so answers cost less to generate and scale further as usage grows.
Used across engineering, sales, support, HR and more, Glean turns fragmented company knowledge into a single place to find answers, get work done and build AI agents that actually know your business.
Founded by Arvind Jain, T.R. Vishwanath, Piyush Prahladka and Tony Gentilcore, and backed by Sequoia, Kleiner Perkins, ICONIQ Growth, General Catalyst, SoftBank and others.
- Enterprise Search Across All Company Tools
- Permission-aware Answers
- Ai Agents And No-code Agent Builder
- Multi-llm Support
- Enterprise Graph / Knowledge Graph
- Source-referenceable Answers
- Mcp Support
- Meeting Transcription And Notes
- Data Analysis On Structured Data
- Token-efficient Retrieval
Best for
Short scenarios where Glean tends to shine.
-
Finding information across various company apps
Best for Engineers
-
Creating and summarizing content
Best for Customer Service Representatives
-
Automating repetitive tasks and workflows
Best for Sales Professionals
-
Onboarding new employees and projects
Best for IT Professionals
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Improving customer service with quick access to knowledge
Best for HR Professionals
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Enhancing engineering productivity
Best for Knowledge Managers
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Streamlining sales processes
Best for All Teams
Example outputs 1
Sample generations and before/after results for Glean.
Access & connections
Where you can use Glean, and what it plugs into.
Platforms
Integrations
Capabilities
What this tool accepts, produces, and is strongest at.
Input
- API
- Code
- Tabular
- Text
Output
- Code
- Tabular
- API
- Text
Highlights
- SOTA
- Agents
- API
Supported features
- Agents
- API
- Search
- Instant file search
Models
Text
Image
Coding
Pros & cons
Pros
- Connects to 100+ enterprise tools and data sources
- Permission-aware answers, only shows what each user can already access
- Every answer traces back to its source document
- Supports 40+ LLMs including GPT, Gemini, Claude, and Glean's own Waldo
- No-code agent builder for automating workflows
- Reduces token usage and model costs through better context retrieval
- Enterprise-grade security and compliance (SOC 2, ISO 27001, GDPR, HIPAA)
- Full observability into queries, answers, and actions
Show 2 more
- Works across departments: engineering, sales, support, HR
- Backed by major investors with strong enterprise customer base (Booking.com, Zillow, Databricks)
Cons
- Built for enterprise, not suited for individuals or small teams
- Requires significant setup and connector configuration to unlock full value
- Pricing is not transparent or published
- No free tier or self-serve signup, demo required to get started
- Heavy focus on large organizations means smaller companies may find it overkill
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Releases 2
Glean - What's New ✨
🎧 Rolled out an in-app podcast feature for surfacing product updates and commentary straight from the team
🤖 Added Gemini 3.7 Flash to the mix, pushing the model library past 40+ closed and open models available in-platform
📊 Dropped a benchmark against Claude Cowork on agent task economics: $0.45/task vs $1.84/task, a 4x gap driven by 2.9x lower token volume and a 1.4x cheaper blended rate. Credit goes to smart routing (Luna handling commodity steps, Opus saved for the 29% of volume where it counts) plus tighter retrieval that cuts context bloat
🎤 Locked in as a headline presence at Glean:GO 2026 (Aug 26-27, San Francisco + virtual), with co-founder Tony Gentilcore taking the stage on multi-model routing and cost control for enterprise AI stacks
In the news
Launch coverage and community mentions for Glean.
Imported reviews 1
Great experience with Glean providing impressive support while onboarding and building out custom data sources.