Investigate every document.Prove every word.
An investigation engine, where every claim traces to its source.
The answer is already in the documents. Getting to it, and proving it, is the hard part.
A serious investigation can bury the answer in tens of thousands of files: contracts, ledgers, whole mailboxes, scans in three languages. Finding it by hand takes weeks of senior time, and the work is hard to retrace once it is done.
General-purpose AI will read it all and answer with total confidence, but it cannot show you where the answer came from, and it will invent a source rather than admit a gap. So someone still has to re-verify every line. Either way, the risk lands on you.
From a question to a cited finding, without asking you to trust the model.
Your documents become evidence
A plan you approve before it runs
It gathers evidence, and asks when it should
A finding you can follow
A real Investigate run, start to finish.
Below is a walkthrough over a fictional set of evidence. Every step is the product's actual behaviour, including where it stops to ask you a question, and where it admits what the evidence does not show.
More than an answer: the surfaces behind it.
Because the corpus is structured, not just indexed, a run leaves you with surfaces to keep working in, not only a written finding. Each preview below is drawn from the same investigation the demo runs.
Network graph
Entity explorer
Timeline
Sanctions screening
Three things the engine will not let the model do.
Make an uncited claim
Invent a source
Run or spend without you
And when the evidence runs out, it says so. Findings carry a confidence band; where the support is thin, the finding states the gap. It will not fill a hole to look complete.
Against a chatbot, and against doing it by hand.
A chatbot is fast but cannot show its work. Doing it by hand can, but not at the scale of a real matter. Line by line:
| Conventional AI chatbot | A human research assistant | Tidebreak | |
|---|---|---|---|
| Traces every claim to its source | No, and it sounds just as sure when it is wrong | Yes, but slowly and by hand | Yes, enforced, or the claim is removed |
| Reads the entire corpus | Limited by its context window | Not realistically, at scale | Yes, every file in the set |
| Will not invent a source | Hallucinates references | No | Fabricated citations are stripped |
| Consistent and fully logged | Varies run to run | Varies by person and day | Every step in a hash-chained record |
| Speed on a large matter | Instant but unverifiable | Weeks of senior time | Hours, inside a set budget |
| Your data stays under your control | Sent to a third-party model | Stays in-house | Runs in your environment |
One engine, across the matters that turn on documents.
Follow the money to the person
Triage a disclosed data set fast
Screen the whole set for exposure
Build the account the disclosure supports
Answer the board’s question, provably
Map a network before you engage
Where your data lives is your decision.
Investigations run on the most sensitive material there is. So Tidebreak bends to your security posture, not the other way around. Choose where it runs.
Fully cloud-hosted
Hybrid
On-premise, air-gapped
- Your data is used only for your matter, retained only for the life of the engagement, and deleted when it closes.
- Never used to train models. Never sold or shared for others to use.
- Privileged and sealed documents are excluded from retrieval.
- Every export is signed, so you can prove the record is intact.
Our product cites its sources. So do we.
Every guarantee on this page is enforced in the product, not promised on a slide. A signed export proves the record behind a finding is intact; whether the conclusion is right stays your judgement.
Book a demo.
It is a guided walkthrough that we run, on our environment, over synthetic data. Tell us the kind of matter you work on and we will shape the session around it.
We are onboarding a small number of design partners through 2026, and early matters steer the roadmap.