Your firm's compounding research memory.
Every run feeds a private knowledge graph for your team. Future runs cite prior work. Provenance is preserved. Share a sourced view with a single link — without losing track of who saw what.
Cross-run intelligence is included on Scale. Network Memory grows with every report your team runs.
Three problems that disappear.
Last year's deal memo lives in someone's Downloads folder.
Research is done, then lost. The next associate writes the same memo from scratch — paying again, in hours and in tokens, for work the firm has already done.
Every run is captured, embedded, and queryable.
Past runs are vectorised and indexed per tenant. New runs pull from prior work first — cheaper, faster, and more consistent than starting clean every time.
The knowledge graph is in your head.
You know that Acme spun out of NewCo, that the CTO came from Acquired Co, that their 3PL partner is the same one a portfolio company uses. Nobody else does.
Entities and relationships, extracted automatically.
Companies, people, and relationships are pulled into a knowledge graph as runs complete. Search it. Browse it. Cite it in the next memo.
Sharing a report = forwarding a PDF and hoping.
Once a memo leaves the firm, you don't know who read it, what they followed up on, or whether the citations are still good.
Tokenised share links with provenance preserved.
Share a sourced view via a tokenised link. The recipient sees the report, the sources, and the provenance — without an account, and without leaking the rest of your network.
Four layers, one memory.
Every run is captured, indexed, related, and shareable — by default.
What network memory looks like.
A new run reuses prior context. The graph shows what your firm already knows.
Three of your prior runs touch this entity.
Acme appears in a Q1 CI run on robotics tooling, a Q2 sector map, and a partner-introduction memo. The new run incorporates that context — and credits are discounted accordingly.
CEO previously at NewCo. Series B led by Capital A. 3PL partner is shared with Portfolio Co X. Two named competitors overlap with the Q2 sector map.
Network memory is built in.
Every plan captures runs and provenance. Cross-run intelligence is included on Scale; Teams adds shared workspaces.
Single user. Runs are captured and searchable.
- Run history + search
- Provenance + citations
- Tokenised share links
- Knowledge graph (view)
Single user with deeper retention. Most popular for solo associates.
- Everything in Starter
- File upload + chunked context
- Larger knowledge graph
- Priority email support
Cross-run intelligence and API access. The full memory feature set.
- Everything in Professional
- Cross-run intelligence
- API + webhook integration
- Tokenised shareable workspaces
Looking for a shared team workspace? See team plans (Starter $99 / Growth $249 / Enterprise custom).
We don't promise magic. We deliver clarity when it matters most.
Reasonable answers.
How is the knowledge graph built?
Can other tenants see my data?
What does "cross-run intelligence" actually do?
How does provenance work?
Can I share a single section, not the whole report?
Is this on-prem-able?
Explore other intelligence verticals.
Ready when you are.
Start free — 50 credits on us. No card. No noise.
Begin building your memory