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Thegapisnotstorage—everyfileissaved.Thegapismemory:whodidwhat,why,andwhatchanged.

Private beta · Enterprise Memory OS

Know. Connect. Remember.

One living memory of your organisation — people, projects, decisions and skills in a single temporal graph. Ask anything, trace any decision, lose nothing.

Request a pilotContact us

Ask anything. Trace any decision. Lose nothing.

Corporate Memory GraphLive
MPAFalconAtlasPostgres over MongoShip read-onlyKubernetespgvectorGraphRAG

Hover or focus a node to trace its connections.

PeopleProjectsDecisionsSkillsSourcesNeo4j + pgvector, fed by LangChain

Technology stack

  • Next.jsFastAPILangGraphLangChainNeo4jPostgreSQL + pgvectorGeminiWhisperDockerOAuth2 / SAML
The problem

Companies forget. And nobody notices until it costs.

Institutional knowledge is an asset with no ledger — it walks out the door unrecorded.

$31.5B

/ yr

lost by Fortune 500 firms to poor knowledge sharing

Source: IDC

19%

of the work week

spent just searching for information

Source: McKinsey

~42%

of know-how

role-critical knowledge unique to a single person

Source: Panopto

  • Every exit is an erasure

    Every resignation, re-org and project roll-off erases institutional memory that nobody wrote down.

  • Context lives everywhere, and nowhere

    The where, the why and the who live in emails, chats, decks and meeting audio — and in people's heads.

  • Onboarding pays twice

    New joiners spend months re-learning what the organisation has already paid to learn once.

  • You find out when it breaks

    When a key person resigns, nobody knows what only they knew — until something breaks.

How it works

Three steps to organisational memory.

Read-only connectors in, a temporal graph in the middle, cited answers out. No migration, and no change to how anyone works.

  1. Connect your sources

    Point JUTSU at the systems you already run — mail, docs, chat, meetings, tickets. Connectors are read-only and inherit each source ACL, so nobody sees anything they could not already open.

    Typical first sync: under a day.

  2. The graph builds itself

    Extraction turns that corpus into people, projects, decisions, meetings and skills — with the edges between them and the dates they happened. Nothing is written back.

    Incremental from then on.

  3. Ask, trace, hand over

    Query it in plain language and get answers cited to the source. Find who actually knows a topic, see where knowledge risk sits, and generate a leaver handover pack in one click.

    Every claim carries a citation.

Architecture

Under the hood.

A layered Memory OS: read-only connectors in, a temporal graph at the core, agents on top. Select a layer to inspect it.

Memory core

The temporal graph plus a semantic index over the same corpus.

  • Neo4j knowledge graph

    people · projects · decisions · meetings · skills · clients

  • pgvector semantic index

    PostgreSQL embeddings

Security & compliance

  • SSO (OAuth2 / SAML)
  • RBAC with source-ACL inheritance
  • AES-256 at rest · TLS 1.3
  • PII masking
  • Audit trail
  • DPDP Act 2023 / GDPR aligned
Landscape

Why the incumbents don't cover this.

Glean, Microsoft Viva, Guru and Atlassian Rovo index and search documents. None of them keep a temporal decision ledger, score bus-factor risk, or auto-draft cited handover packs.

Capability comparison between JUTSU and existing enterprise knowledge tools
CapabilityGleanMicrosoft VivaGuruAtlassian Rovo
Enterprise document searchSupportedSupportedSupportedSupportedSupported
Semantic Q&A with citationsSupportedSupportedSupportedSupportedSupported
Temporal decision ledgerSupportedNot supportedNot supportedNot supportedNot supported
Live bus-factor risk scoringSupportedNot supportedNot supportedNot supportedNot supported
Auto-drafted cited handover packsSupportedNot supportedNot supportedNot supportedNot supported
Contribution-scored expert discoverySupportedPartialPartialNot supportedNot supported

Our moat is the graph of who-decided-what-when — not another index.

Comparison reflects publicly documented capabilities of each product as of July 2026. Product names are trademarks of their respective owners; JUTSU is not affiliated with or endorsed by them.

Questions

What teams ask first.

No. Every connector is read-only. JUTSU builds its own graph alongside your tools and never modifies a document, ticket, message or calendar entry.

No. Permissions are inherited from the source system at ingestion and enforced again at query time, so a result only surfaces for someone who could already open the underlying document. Access binds to your existing SSO and identity provider.

Search returns documents. JUTSU keeps a temporal graph of who decided what, when and why — so it answers questions no index can: who owns this, what did we already try, and what breaks if this person leaves.

The knowledge-risk view scores bus-factor continuously, so exposure is visible before a resignation rather than after. When someone does leave, the Handover Generator drafts a cited pack of their open items, decisions, stakeholders and known gotchas.

In your own deployment. JUTSU is containerised and runs in your cloud or VPC, with encryption at rest and in transit, PII masking during ingestion, and a full audit trail. Aligned to the DPDP Act 2023 and GDPR.

Twelve weeks from first connector to an end-to-end deployment, scoped around a single department so the value is provable before it spreads.

Get started

Bring your organisation's memory online.

A read-only overlay on the systems you already run. No process disruption, no migration, a pilot in twelve weeks.

Request a pilotContact us

Ask anything. Trace any decision. Lose nothing.