Context Lake

The unified knowledge layer your agents actually trust

Give every AI agent in your organization accurate, auditable, always-fresh knowledge — pulled from the systems your teams already use. No hallucinations from stale data. No black-box retrieval.

Context Lake — knowledge flows from enterprise sources into a central lake, then into deterministic context packs for AI agents
How It Works

Your org's knowledge, ready for every agent.

  1. 01

    Connect your sources

    Authorize Git repos, Google Drive, Notion, Confluence, and Jira in one OAuth flow. Your data stays in your cloud — IAS only reads what you allow.

  2. 02

    Automatic extraction & normalization

    The text extraction pipeline continuously processes docs, PRs, wikis, and tickets into structured, searchable content. No manual indexing.

  3. 03

    Agent-authored knowledge artifacts

    AI agents synthesize findings into versioned artifacts — architecture notes, glossaries, risk registers — with full attribution to source documents.

  4. 04

    Deterministic context packs, on demand

    Each job gets a precisely assembled, reproducible slice of relevant context. No hallucination risk from stale or mismatched retrieval.

Lake Status
Sources synced12
Avg pack size4.2k tokens
Stale items0
Why Enterprise Teams Choose Context Lake

Stop gambling on what your agents actually know.

Most AI deployments fail not because the agent is wrong — but because it's working from outdated, incomplete, or unverifiable information. Context Lake solves this at the infrastructure level.

0
stale sources

Continuous sync means agents never work from yesterday's docs.

100%
provenance

Every artifact links back to its source. Auditors can trace any agent decision.

∞
scale

From 5-person startup to 5,000-person enterprise. One lake, all your teams.

Capabilities

Zero-drift Knowledge

Auto-sync from Git, Google Drive, Notion, Confluence, and Jira keeps context current. Staleness detection flags outdated sources before agents consume them.

Deterministic Context Packs

Each agent job receives a reproducible, versioned slice of your knowledge — not probabilistic RAG retrieval. Same input, same context, every time. Auditable by design.

IP-safe Provenance

Every knowledge artifact traces back to its source document with timestamp and author. Know exactly what your agents know — and prove it to your auditors.

Enterprise Source Coverage

One-click connectors for the tools enterprise teams run on: GitHub, GitLab, Google Workspace, Notion, Confluence, Jira, and custom internal APIs via webhook.

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