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Customer Context for Agents
Outlit turns every customer-facing tool in your stack, like Stripe, Granola, PostHog, Slack, Gmail, Pylon, and more, into one complete, queryable customer profile. We resolve fragmented identity across mismatched records, extract structured facts and signals from unstructured interactions, and expose the result through CLI, MCP, and API. So every person and agent in your company has the full context on every customer to work from.
Outlit provides a centralized customer context layer that unifies customer data from multiple tools into a single, queryable record for humans, automations, and AI agents. It acts as infrastructure that connects tools, resolves identity across sources, and serves one API to access the unified profile. It positions itself as a data layer rather than a CRM, enabling agents to access consistent customer context across surfaces.
Outlit connects to existing tools (e.g., Slack, Stripe, HubSpot, PostHog, Gmail, Fireflies, Supabase, Pylon, Notion, Cursor, Claude/ChatGPT) to continuously pull signals and facts about each customer, resolves identity across sources, structures data into a single unified customer profile, and exposes a single API for querying that profile. It handles sync, identity resolution, and data normalization out of the box, eliminating the need for custom ETL pipelines. Setup is quick via a curl install, after which data starts syncing and can be queried by agents and workflows. It is infrastructure, not a CRM, and is designed to sit under existing tools to provide context to agents and automations.
Who it’s for: Teams leveraging AI agents and multiple tools who need a single source of truth for customer context across surfaces (sales, support, success, insights teams using AI copilots and automation).
Mention of enterprise product, integrations with many tools, security certifications, and a hosted install guide imply traction and a late-stage startup or growth phase; references to enterprise pricing and a 'Backed by Combinator' signal funding and credibility.
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The open-source context layer for data agents
