Attestation over assurance
Enterprise AI without the data risk
Hardware-signed proof of what ran, on which data, and who saw the answer — not a vendor promise.
See it work
The interactive demo runs on desktop.
Open this page on a larger screen to try it.
Agents
An agent for each job your teams repeat.
Weekly deal flow digest
Posts each partner's pipeline changes, risks and asks before the Monday meeting.
Stalled deal follow-up
Finds deals quiet for 14 days and drafts a follow-up from the last call.
Mandate fit review
Tests every deal against the fund's mandate: size, sector, control and returns.
Banker inbox triage
Sorts every teaser and banker reply, and flags urgent ones to the deal owner.
Management meeting prep
Briefs each partner before every meeting: deal status, last conversation, new contacts.
Headcount momentum
Flags target companies whose teams grow faster than the business, before a process starts.
Track record miner
Turns outcomes in board packs and exit memos into proof points for fundraising.
DCF and comps build
Builds the DCF and trading comps in the firm's own template, with every input sourced.
LBO model build
Sets up the LBO on house assumptions and shows what a sponsor could pay.
Accretion/dilution analysis
Runs EPS accretion and dilution across price, cash and stock mix, and synergy cases.
Company profile slides
Turns filings and data pulls into profile pages laid out in the house pitch book format.
Strategic rationale draft
Drafts the case for the deal in the firm's voice, drawn from past pitches that won.
Information memorandum draft
Writes the first CIM draft from management materials, in the structure the firm always uses.
House style check
Checks every deck and model before it goes out: template, footnotes, sources and numbers that tie.
Sector research report
Drafts the sector pages for a pitch: market size, trends, recent deals and trading levels.
Data room diligence
Reads every upload to the data room and flags gaps, red flags and open requests.
Built for
- Deal teams
- Partners
- Investor relations
One question, start to finish
Cleared before it runs, sealed while it runs, recorded after.
Before→Authorised
The question is cleared
Which source, which fields, which team, which purpose. Policy is checked before anything runs, not discovered afterwards in the incident review.
During→Isolated
The data stays encrypted
Processing happens inside a hardware-isolated environment. Neither our team nor the cloud provider can open what is running.
After→Audited
The answer carries a record
What went in, what ran and who saw it: signed, immutable, and in the format your examiners already read.
The real problem
Questions that go unanswered today.
It isn't that the model can't answer. It's that the data can't leave where it lives, and no question worth asking lives inside a single system.
“What is our consolidated exposure to this borrowing group, adding facilities in the core system, guarantees held as PDFs, and the reservations logged by Legal?”
Reads from: Core banking · Document management · Email and Microsoft 365
“Which clauses in contracts signed last quarter diverge from the credit policy approved in committee?”
Reads from: Contract repository · Committee minutes · Internal policy
“Has the counterparty in this BSA/AML case appeared before, on another product, under a different entity of the same group?”
Reads from: Financial crime case files · Customer records · Transaction history
“What changed in the latest interagency guidance that affects exactly the products this team sold this month?”
Reads from: Regulatory library · Product catalogue · Portfolio
Illustrative. In discovery we start from the questions your own teams raise.
Who it's for
Built for the people who sign off.
The business wants to use AI on the data that matters. Risk and security are right to say no. We remove the deadlock by giving the second line the evidence it needs to clear the first.
Risk and compliance leadership
Answers to the examiners, and cannot do it on a supplier's assurance. Needs a trail that survives being read back at the next exam cycle.
Information security
Needs to know where data went, who touched it, what was retained, and what the provider could technically have seen — not what the contract says it won't.
Credit and legal
Already does this work: cross-referencing a contract against a policy against a history. Today it takes three weeks and a chain of emails.
Technology and architecture
Does not want another portal to run, another identity integration to maintain, or another silo to keep in sync.
What it does
The domain work is the product.
Isolation is the condition. What the bank is actually buying is a question answered across systems that have never spoken to each other, in the vocabulary of the people who have to sign it off.
01
It knows the domain
Risk, compliance, credit and legal. It arrives already knowing what a covenant breach is, which committee minute settles it, and how a second-line reviewer expects the finding to be written.
02
It arrives where the work happens
The answer appears in Microsoft 365, Copilot and the document management the bank already runs. There is nothing to build against and nothing new to log into.
03
It crosses the silos
Core banking, Microsoft 365 and the restricted store answer the same question under the same policy. Mapping those sources — the integration and the domain knowledge — is the work we take on.
04
It produces evidence a US examiner reads
Model risk under SR 11-7, customer information under the GLBA Safeguards Rule, third-party risk under OCC 2023-17. The record comes out shaped for those questions, not for you to map afterwards.
Team
The right team to build this.
A bank is not buying a demo. It is buying the judgement of the people who will be in the room when an examiner asks how the thing works.
public/team/
name.jpgName
One line. What they built, and how far it got.
public/team/
name.jpgName
One line. What they built, and how far it got.
Comparison
The three options a bank has today.
A generic copilot, a two-year internal build, or this.
| Generic copilot | Internal build | Halten | |
|---|---|---|---|
| Speaks the language of risk and compliance | ✗ | ✓ | ✓ |
| Crosses silos in a single question | ✗ | Partial | ✓ |
| Runs inside Microsoft 365 and Copilot | ✓ | ✗ | ✓ |
| US data residency | ✗ | ✓ | ✓ |
| Signed record per answer | ✗ | ✗ | ✓ |
| Restricted data leaves the perimeter | Yes | No | No |
| Implementation effort | Low | High | Low |
| Needs a dedicated internal team | No | Yes | No |
We are not confidential AI infrastructure.
We are the answers your bank can't get today, with proof of who saw them.
Frequently asked
Answered before you're asked.
Get started
Bring us a question that goes
unanswered today.
A real one, from your risk, credit or compliance team. We will show you the path it would take through your systems, and the record that would come back with it.