PipesHub
PipesHub is an open-source workplace AI and enterprise context platform that connects company knowledge across business systems and makes it available for permission-aware search, cited answers, research, workflows, and AI agents. It emphasizes explainability, source-level access controls, self-hosting, and customer control of data and models.
At a Glance
- Enterprise and mid-market businesses
- Engineering and product organizations
- IT, customer support, and operations teams
- Organizations with Google Workspace or Microsoft 365 estates
- +2 more
AI Tools by PipesHub
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PipesHub
Open Source Workplace AI Platform
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Latest News
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Products & Services
Free, Apache 2.0 open-source, self-hosted deployment with Docker; includes core indexing and search, explainability and citations, bring-your-own LLMs and embeddings, no-code agents, skills and artifacts, permission-aware ingestion, REST APIs, SDKs, MCP support, and community support.
Commercial offering with cloud SaaS, hybrid BYOC, on-premise VPC and air-gapped deployment options; adds multi-tenancy, SSO/SCIM, RBAC, audit logs, observability, governance, custom connectors, white-labeling, and 24x7 enterprise support and SLA.
Planned fully managed version of PipesHub; the repository says it is coming soon and invites users to join a waitlist.
Developer interfaces for integrating PipesHub into applications and agents, including Python, TypeScript, and Go SDKs plus an MCP server/client and APIs.
Market Position
PipesHub positions itself as an open-source, self-hostable alternative to Glean and as a more extensible enterprise context layer than conventional workplace search or standalone RAG. Its differentiators are permission fidelity, cited and explainable answers, knowledge-graph retrieval, customer-controlled models and infrastructure, 50+ connectors, and developer interfaces such as APIs, SDKs, MCP, and custom connectors.
Leadership
Founders
Rishabh Gupta
Co-founder and CEO; spent about four years at Adobe working on cloud infrastructure before founding PipesHub.
Abhishek Gupta
Co-founder; Rishabh Gupta's brother and formerly a vice president at Goldman Sachs leading global trading infrastructure.
Shekhar Kadyan
Co-founder; previously product lead at Amazon and held roles at Goldman Sachs and Samsung; educated at Cornell and IIT Kanpur.
Executive Team
Rishabh Gupta
Co-founder & CEO
Former Adobe cloud-infrastructure engineer; GeekWire identifies him as CEO and co-founder.
Abhishek Gupta
Co-founder
Previously vice president at Goldman Sachs, where he led global trading infrastructure.
Founding Story
PipesHub was started to address the problem that important workplace knowledge is scattered across systems such as Google Workspace, Microsoft 365, Slack, Jira, and Confluence. The founders' initial vision was an open-source, self-hostable alternative to proprietary workplace-search products: a context layer that could retrieve enterprise knowledge with citations and preserve each source system's permissions while also powering custom agents and workflows.
Business Model
Revenue Model
Open-source self-hosted Community Edition is free; revenue is intended to come from Enterprise Edition subscriptions or enterprise contracts for managed cloud, on-premise/BYOC deployments, governance, premium connectors, custom integrations, support, and SLAs.
Pricing Tiers
Self-hosted and open source; includes core indexing/search, explainability, BYO models, no-code agents, APIs, SDKs, MCP, and community support.
Cloud SaaS, hybrid BYOC, on-premise VPC, air-gapped deployment, multi-tenancy, SSO/SCIM, RBAC, audit logs, observability, governance, custom connectors, white-labeling, 24x7 support, and enterprise SLA.
Target Markets
- Enterprise and mid-market businesses
- Engineering and product organizations
- IT, customer support, and operations teams
- Organizations with Google Workspace or Microsoft 365 estates
- Companies needing private, self-hosted, BYOC, or air-gapped AI
- Developers building enterprise AI agents, workflows, and applications
- Permission-aware workplace search and question answering
- Enterprise knowledge retrieval with verifiable citations
- Deep research over internal company data
- Building custom AI agents and no-code workflow automations
- Customer support and IT service knowledge retrieval
- Engineering and project-management search across code, tickets, and documentation