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Persistent context for every mission, agent, and team.

Give teams a living organizational brain that captures, structures, and retrieves the right context with provenance.

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Knowledge Graph · Product docs

Knowledge Graph: Sources Docs, Chats, Specs, Tickets, Decisions. Insights Trends, Knowledge gaps, Reuse, Impact. Agent and human access.

  1. Ingestion: Ingested 23 documents · Product documentation refreshed.
  2. Normalization: Structure · Extract and organise metadata.
  3. Entity extraction: Extracted 156 entities · Services, APIs, errors, and owners.
  4. Retrieval: Semantic search · Find relevant information, not just keyword matches.
  5. Summaries: Provenance and trust · Show sources, lineage, and confidence for every answer.
  • Semantic and accurate Find the right knowledge
  • Always up to date Continuous capture
  • Trusted and traceable Provenance by default
  • Reused and retained Learning that compounds

Context that compounds across every team.

Knowledge & Memory connects documents, decisions, code, tickets, releases, and conversations into retrievable context.

Capabilities built for intelligence · 6

  • Semantic search

    Find relevant information, not just keyword matches.

  • Episodic memory

    Preserve the full context of events and outcomes.

  • Team memory

    Share knowledge while respecting boundaries and roles.

  • Provenance and trust

    Show sources, lineage, and confidence for every answer.

  • Context compiler

    Assemble the right context from many sources.

  • Policy-aware retrieval

    Enforce permissions and retention at every step.

Search and memory activity.

See sources, search results, capture events, and knowledge updates as the memory layer evolves.

Illustrative interface, fictional data. Blueprint. Requirements are linked to their designs, code files and tests. A proposed change, proration rule (daily → by the second), highlights its impact across 1 design, 2 code files, 2 tests. The affected items are updated and the affected tests re-run and pass.

Capture, structure, index, retrieve, apply, learn.

The memory lifecycle keeps organizational knowledge useful and safe.

The knowledge lifecycle. Follow one source through the memory lifecycle. At Index it joins the store, at Retrieve it comes back as context, and each Learn adds to what is kept.

  1. 01 Up next

    Capture

    Ingest knowledge from systems.

  2. 02 Up next

    Structure

    Extract and organise metadata.

  3. 03 Up next

    Index

    Embed into graph and vector stores.

  4. 04 Up next

    Retrieve

    Find the right context.

  5. 05 Up next

    Apply

    Deliver context in real time.

  6. 06 Up next

    Learn

    Capture outcomes and improve.

Connect the knowledge your teams already use.

Knowledge sources stay useful through continuous capture, retrieval, and governance.

Supported source types · 6

  • Documentation

    Wikis, docs, guides, runbooks, playbooks.

  • Tickets and issues

    Jira, Linear, ServiceNow, GitHub.

  • Code and repos

    Repositories, diffs, releases, comments.

  • Meetings and chats

    Transcripts, conversations, decisions.

  • Releases and changes

    Changelogs, incidents, deploys.

  • Decisions and plans

    ADRs, roadmaps, OKRs, RFCs.

Keep exploring the platform.

  • Platform

    Integration Mesh

    Connect tools, data, and workflows into one intelligent enterprise mesh.

  • Platform

    Governance Layer

    Govern AI execution with policy, trust, approvals, compliance evidence, and auditability.

  • Platform

    Goals & Missions

    How business outcomes become structured, governed missions with owners, scope, evidence, and approvals.

Turn knowledge into a force multiplier.

Build on what your team already knows with context that compounds.

Join waitlist Explore knowledge