Thegapisnotstorage—everyfileissaved.Thegapismemory:whodidwhat,why,andwhatchanged.
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.
Ask anything. Trace any decision. Lose nothing.
Corporate Memory GraphLiveHover or focus a node to trace its connections.
Technology stack
- Next.jsFastAPILangGraphLangChainNeo4jPostgreSQL + pgvectorGeminiWhisperDockerOAuth2 / SAML
Companies forget. And nobody notices until it costs.
Institutional knowledge is an asset with no ledger — it walks out the door unrecorded.
- $31.5B
- lost by Fortune 500 firms to poor knowledge sharing
- 19%
- spent just searching for information
- ~42%
- role-critical knowledge unique to a single person
/ yr
Source: IDC
of the work week
Source: McKinsey
of know-how
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.
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.
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.
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.
Ask, trace, hand over
Query it in plain language and get answers cited to the source. When someone moves on, open a knowledge-transfer package: their context as a cited workspace, with a copilot and a learning path for whoever takes over.
Every claim carries a citation.
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.
Data sources
Read-only connectors into the systems you already run.
Email & documents
M365, SharePoint, Drive
Meetings & chats
Teams, Slack, transcripts
Tickets, wikis & code
Jira, Confluence, GitHub
Ingest & understand
Parse, mask, extract entities and relations, embed.
Connectors & parsing
LangChain loaders
PII masking & ACL capture
privacy by design
Entity & relation extraction
Gemini
Embedding generation
batch + incremental
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
Agent layer · LangGraph
Agents that read the memory, guard it and hand it over.
GraphRAG Q&A agent
Cypher + vector fusion
Knowledge-transfer copilot
answers from one package's evidence
Experience · Next.js
Cited answers and knowledge transfer, on one memory.
Cited Q&A
grounded, traceable
Knowledge Transfer
cited KT workspaces
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
Why the incumbents don't cover this.
Glean, Microsoft Viva, Guru and Atlassian Rovo index and search documents. None of them turn a departing colleague's context into a cited knowledge-transfer workspace for whoever takes over.
| Capability | Glean | Microsoft Viva | Guru | Atlassian Rovo | |
|---|---|---|---|---|---|
| Enterprise document search | Supported | Supported | Supported | Supported | Supported |
| Semantic Q&A with citations | Supported | Supported | Supported | Supported | Supported |
| Cited knowledge-transfer workspace for a departing colleague | Supported | Not supported | Not supported | Not supported | Not 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.
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, and answers from it with citations: what did we already try, why did we choose this, and what did a departing colleague know.
An administrator creates a knowledge-transfer package over that colleague's context and shares its KT ID with whoever takes over. They get a cited workspace — the decisions, projects, meetings and people in its scope, a copilot that answers only from that evidence, and a learning path built from it. Creating a package grants no access of its own: what they read is still bounded by their own permissions.
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.
Ask anything. Trace any decision. Lose nothing.