glean data
- Company typePrivate
- Founded-
- HeadquartersPalo Alto, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
glean data firmographics
Firmographics- Name
- glean data
- Legal name
- Glean Technologies, Inc.
- Website
- https://glean.io
- Company type
- Private
- Operating status
- Operating
- Ownership category
- akta.pro rank
Where glean data is headquartered
LocationHeadquarters
- HQ city
- Palo Alto
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
glean data business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Enterprise SaaS Subscription: Glean operates on a subscription-based SaaS model targeting enterprise customers. Pricing is quote-based with enterprise contracts typically covering organization-wide deployment. The platform offers both SaaS and VPC deployment options in AWS or GCP.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise-wide deployment with full platform access |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels11 records
glean data product offering
Product offeringCore offering
Glean sells an enterprise Work AI platform that unifies enterprise search, an AI assistant, and AI agents on a shared system of company context (Enterprise Graph and Personal Graph). The platform deep-indexes content, metadata, and activity across 275+ enterprise applications via pre-built connectors, supports 100+ built-in actions, exposes a model-agnostic Model Hub, and runs as SaaS or in customer VPCs on AWS or GCP. Pricing is sold through annual or multi-year enterprise subscriptions, with customers including Booking.com, Zillow, Ericsson, TIME, GCash, DBS, and Databricks.
Product overview
Glean is a unified Work AI platform consisting of multiple integrated products and modules. The core platform combines Enterprise Search (the foundational search and retrieval engine) with the Glean Assistant (personal AI assistant) and Glean Agents (agent automation platform). Supporting these are the Enterprise Context layer (Enterprise Graph, Personal Graph, System of Context) providing deep organizational understanding, and the Platform Infrastructure (Connectors & Actions with 275+ integrations, Model Hub with 35+ models, AI Gateway, Security/Glean Protect, and APIs). The Assistant includes specialized modules for Proactive Intelligence, Data Analysis & Research, Content Creation, and Work Execution. The Agents platform offers Agent Builder, Agent Orchestration, Agent Governance, Agent Library, and Agent Harness for building and managing enterprise AI agents. July 2026 introduced Skills for scaling governed workflows and Data Query for Snowflake/Databricks. The platform is model-agnostic, cloud-flexible (SaaS or VPC), and embeds into tools like Slack, Teams, and custom applications.
Differentiator
Problem solved
Functional benefit
Brands
- Glean Assistant: AI assistant that provides personalized answers and actions based on company knowledge and context.
- Glean Agents
- Enterprise Graph
- Personal Graph
- Gleaniverse
- Work AI Institute
- Glean Protect
- Model Hub
Products and services
- Glean Enterprise Search
Quantifiable outcome
- 30% reduction in token usage compared to off-the-shelf MCP tools
- +9 more outcomes
Companies that use glean data
Customer profileNamed customers33 records
Segments14 records
Ideal customer profiles1 record
glean data technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration36 records
AI capability12 records
Feature10 records
glean data partnerships and signals
Strategic signalPartnerships
16 partnerships are on record, tiered core.
- SalesforcecoreDeep connector integration with Salesforce enabling agents to access CRM data, notes, emails, and past decks. Supports structured data retrieval and custom Salesforce objects. Part of 275+ enterprise connectors.
- JiracoreConnector integration with Jira for project management data. 100+ built-in actions available for Jira. Agents can scan completed tickets, summarize features, and draft release notes.
- ServiceNowcoreConnector integration with ServiceNow for IT service management workflows. Agents can classify tickets, route to queues, suggest answers, and open follow-ups.
- ConfluencecoreConnector integration with Confluence for enterprise documentation. Deep indexing of content, metadata, and activity signals.
- SlackcoreAvailable where employees work via Slack integration. Agents can be invoked directly in Slack. Platform accessible in Slack, Microsoft Teams, and other communication tools.
- Microsoft TeamscoreAvailable via Microsoft Teams integration. Agents can be embedded in Teams for enterprise workflows. Platform supports Teams alongside Slack.
- DatabrickscoreStructured data retrieval from Databricks. Supports querying Snowflake and Databricks data with full business context. Customer logo displayed on website.
- SnowflakecoreStructured data retrieval from Snowflake. July 2026 product drop features querying Snowflake data with full business context behind the numbers.
- Google BigQuerycoreStructured data retrieval from BigQuery. Part of multi-data warehouse support for enterprise analytics.
- OpenAIcoreModel-agnostic platform supports OpenAI models including GPT-5.x. Customers can use OpenAI alongside Anthropic, Google, and Meta models.
- AnthropiccoreModel Hub includes Claude Sonnet 4.6 and other Anthropic models. Model-agnostic approach allows mixing models by use case.
- Google (Gemini)coreModel Hub includes Gemini models. Model-agnostic platform supports Google Vertex AI deployment option.
- Meta (Llama)coreModel Hub includes Llama models. Open model support as part of model-agnostic approach.
- AWS (Amazon Web Services)coreFlexible deployment in customer's own AWS VPC or via Glean's SaaS. Single-tenant architecture in AWS. Turnkey deployment without outsourced services.
- Google Cloud Platform (GCP)coreFlexible deployment in customer's own GCP VPC or via Glean's SaaS. Single-tenant architecture in GCP. Full control over data residency.
- Azure OpenAIcoreModel Hub supports Azure OpenAI deployment. LLMs spanning Azure OpenAI, Vertex AI, and Amazon Bedrock options.
Scale indicators22 records
Recent moves6 records
Expansion highlights6 records
glean data competitors and assessment
Company assessmentDirect peers
- Sinequa: Sinequa provides enterprise search and AI-powered knowledge management with neural search, NLP, and connectors into enterprise systems. Comparable as a specialized enterprise search and GenAI platform targeting regulated industries.
- Lucidworks: Lucidworks delivers AI-powered search and discovery for the enterprise with personalization, relevance tuning, and GenAI features. Competes in the same enterprise search and AI assistant category as Glean.
- Coveo: Coveo is an enterprise search and AI relevance platform with deep SaaS connector coverage and personalization features. Closest like-for-like competitor focused specifically on enterprise search and AI-powered relevance, serving customer support, commerce, and workplace use cases.
- Anthropic (Claude Enterprise): Anthropic's Claude for Enterprise offers a model-agnostic-adjacent approach with enterprise-grade security and large context windows. Direct competitor on enterprise AI assistants; also a model supplier for Glean's Model Hub, creating a strategic overlap.
- OpenAI (ChatGPT Enterprise): OpenAI's ChatGPT Enterprise targets the same enterprise buyer with conversational AI grounded in company knowledge. Glean's1.9x preference benchmark over ChatGPT Enterprise is a primary competitive talking point, and the two increasingly compete for the same IT/Procurement budget.
Broad incumbents
- Box (Box AI): Box AI brings enterprise AI to content stored in Box, with secure access, metadata extraction, and Q&A across enterprise documents. Comparable as an enterprise content + AI platform, though narrower in scope than Glean's cross-system context.
- Atlassian (Atlassian Intelligence / Rovo): Atlassian Intelligence and Rovo embed AI search and agents across Jira, Confluence, and the Atlassian ecosystem. Competes for the same Engineering and IT buyer use cases as Glean, leveraging the existing Atlassian installed base of development teams.
- Google (Gemini for Workspace / Vertex AI Search): Google bundles Gemini across Workspace and offers Vertex AI Search as a standalone enterprise retrieval product. Competes on enterprise search and assistants with a deeply integrated productivity suite and own foundational models.
- Microsoft (Microsoft365 Copilot): Microsoft ships Copilot across Office 365, Teams, and SharePoint with native enterprise distribution. Competes head-on with Glean on enterprise AI assistants, search, and agents, with the structural advantage of being bundled into the dominant productivity stack.
Emerging players
- Notion (Notion AI): Notion AI offers embedded AI search, Q&A, and writing assistance inside Notion workspaces. Overlaps with Glean on AI-powered knowledge retrieval, though Notion's strength is within its own content ecosystem rather than across the 275+ enterprise systems Glean indexes.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
glean data social profiles
Digital presenceglean data compliance and trust
Trust signalCompliance9 records
glean data financial estimates
Financial estimateRevenue estimate
Valuation estimate
glean data leadership team
Management profileNumber of profiles
Profiles1 record
glean data funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
glean data M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about glean data
What does glean data do?
Glean sells an enterprise Work AI platform that unifies enterprise search, an AI assistant, and AI agents on a shared system of company context (Enterprise Graph and Personal Graph). The platform deep-indexes content, metadata, and activity across 275+ enterprise applications via pre-built connectors, supports 100+ built-in actions, exposes a model-agnostic Model Hub, and runs as SaaS or in customer VPCs on AWS or GCP. Pricing is sold through annual or multi-year enterprise subscriptions, with customers including Booking.com, Zillow, Ericsson, TIME, GCash, DBS, and Databricks.
Is glean data a public or private company?
glean data is a private company. It is classified as venture growth investor backed and is currently operating.
When was glean data founded?
glean data was founded in -1.
Where is glean data based?
glean data is headquartered in Palo Alto, United States, in the North America region.
How does glean data make money?
One revenue line is on record: enterprise SaaS Subscription.
Who are glean data's main competitors?
Direct peers on record are Sinequa, Lucidworks, Coveo, Anthropic (Claude Enterprise) and OpenAI (ChatGPT Enterprise). Broad incumbents are Box (Box AI), Atlassian (Atlassian Intelligence / Rovo), Google (Gemini for Workspace / Vertex AI Search) and Microsoft (Microsoft365 Copilot). Notion (Notion AI) is listed as an emerging player.
Does glean data have an API?
Yes. Glean provides APIs for building generative AI experiences. The platform supports the Model Context Protocol (MCP) and can act as an MCP server, allowing users to access Glean search and enterprise agents directly within interfaces like ChatGPT while maintaining security controls. Developers can access the platform via APIs, SDKs, and UI components to embed Glean into tools like Slack, Teams, intranet portals, and custom applications. Developer documentation is at developers.glean.com.