Data & Memory LayerSeries FInfraℹGlean
Enterprise AI grounded in company context.
Company snapshot
- Stage
- Series F
- Funding
- Series F · $150M · Jun 10, 2025
- Status
- published
- Updated
- Nov 8, 2026
- Views
- Category
- Data & Memory Layer
- Website
- glean.com
What they're building
Enterprise AI grounded in company context. Glean connects enterprise information through search, a company knowledge graph, and permissions-aware AI assistants and agents that answer questions and act across workplace systems.
Founders
Arvind Jain
Co-founder and CEO
T.R. Vishwanath
Co-founder
Piyush Prahladka
Co-founder
Tony Gentilcore
Co-founder
Foundation model usage
Editorial estimates from product descriptions. Model providers and actual usage are not confirmed.
- Inferred architecture
- Agentic loops, Batch document processing, Embeddings & semantic search
- Potential advantages
- Workflow lock-in
- Estimated model demand
- High intensity
NYC footprint
- NYC presence
- NYC company or team supported by public sources. Street address has not been verified.
Funding
Latest funding: Series F · $150M · Jun 10, 2025. Lead investor: Wellington Management.
Sources & location evidence
Open research desk ↗Profile source review: 2026-11-03. NYC office is explicit in company-authored hiring copy reproduced on investor General Catalyst's portfolio job board; the specific position is archived. This establishes documented NYC presence rather than HQ. Do not confuse Glean Work AI with similarly named NYC finance/data startups. Current official careers confirms the standard four-day office model but does not expose locations in static HTML.
- https://www.glean.com/blog/glean-series-f-announcement ↗
- https://www.glean.com/press/glean-introduces-third-generation-ai-assistant-new-enterprise-graph-to-enable-the-superintelligent-enterprise ↗
- https://jobs.generalcatalyst.com/companies/glean/jobs/58812540-corporate-sales-director ↗
- https://www.glean.com/careers ↗
Notes
Glean is tagged infra based on buyer clarity, repeat workflow activity, public activity, and fit with the AI Atlas map.
Related NYC startups
Aaru uses simulated populations to predict consumer, market, and political behavior.
Aaru simulates populations of AI agents grounded in demographic and behavioral data, helping businesses model consumer choices, market responses, and strategic decisions.
Data & Memory LayerWorkflowℹRecent Activity
External data can become an on-demand utility, with a common ontology connecting fragmented datasets to usable business and AI insights.
Carbon Arc turns licensed external data into structured intelligence that businesses and AI systems can access on demand through an exchange with consumption-based pricing.
Data & Memory LayerInfraℹRecent Activity
Wallaroo provides an enterprise AI/ML production platform that enables clients to deploy machine learning and analytics projects into production at scale, with model observability, monitoring, and inference orchestration.
Data & Memory LayerInfraℹRecent Activity