Peakure LLC builds and audits AI that handles regulated documents, financial systems, and the evidence that releases payment.
The work happens somewhere else — on a site, in a deal room, inside a finance model. Someone still has to turn it into a record a lender, a regulator or an auditor will accept, because those records are what release money.
Peakure builds the systems that do it, audits the AI other companies already run, and builds its own ventures on the same spine.
Agent-augmented delivery — automated review, test generation and verification run before anything ships.
We take on a limited number of engagements each quarter.
We build these systems, and we audit the ones other companies already run.
See how we work
Agent fleets across documents and money systems, reviewed as one muscle: strategy engagements, AI system audits, agent governance reviews, and investor technical due diligence. The output is findings with the evidence behind them.
One workflow, built end to end: ingestion, extraction, a human review queue, and output — with an audit trail attached to every record.
Independent review that finds what is hidden inside a financing, and sets out what to do about it.
Site work becomes records that release payment, with quality assurance on the output.
Every system we build runs the same pipeline: capture, extract, validate against the rules, human review, evidence record, release. The subject changes. The steps do not.
Switch scenario below to follow the same six steps through a different job — what goes in on the left, what comes out on the right.
The same spine — capture, extraction, validation, review, evidence — fits a lender reporting cycle, a working site, a deal room and a document-heavy back office.
Drawdown conditions, environmental and social covenants and progress reporting all resolve to the same question: does the record support the payment. We build the pipeline that produces that record on schedule, in the format the lender reads.
Voice notes and photos from the work people already do. No new app to adopt.
Project vocabularies, validation rules, confidence gating, and a review queue for anything the model is unsure of.
Who, when, which photo, what changed, who approved. Append-only, so the record holds up later.
Records checked against the contract and the rules that govern them, with the differences surfaced.
Human approval gates on anything that carries consequences. Permissions fail closed. The audit ledger is tamper-evident. AI credentials are scoped so that an agent structurally cannot spend money.
The record carries the source files, the extracted values and the rules they were checked against. A person approves it before it becomes the record that releases payment.
Autonomous analysis agents worked across the deal room and produced eight reports. They surfaced a hidden $20M balloon payment and a Year-15 DSCR collapse. The remediation restored Investment Grade and cleared institutional credit approval. Delivered.
Crew records, compliance-grade hours capture, payroll, and site workforce operations for a solar power plant. Contract signed. In development, pending project financing.
Client names are withheld. References available on request, with client consent.
Two are in development and not yet named publicly. Scope, ownership and confidentiality are settled in writing before any work starts — what a client pays us to build, the client owns.
Finds what is hidden inside a financing — balloon payments, covenant breaks, coverage that collapses in a later year — and says what to do about it. Not yet named publicly.
Turns site work into the compliance documents that release payment, with quality assurance on what comes out. Not yet named publicly.
AI edtech platform.
There is no trial, no pilot, and no unpaid specification round. The scope is fixed before the first invoice, and it is the scope that gets cut if the budget is tighter than the work.
Three ways in: a platform build or a bounded setup, both at a fixed price, or an engagement scoped on a call. You get one number for the work, written into the SOW before anyone builds anything — and it does not move once it is agreed.
A corporate web platform, base scope through deploy. Languages, map modules and a content system are quoted as separate lines, never bundled into the base.
One workflow put into production with the evidence layer that records what ran, what it read, and what a human approved.
AI strategy, system audits and governance reviews, agent systems, and product builds.
We do not take on small projects, and we do not discount — if the budget is tighter than the work, we cut scope, never the rate. Bring the shape of the problem to the call and you leave with a number.
What Peakure builds, how an engagement is scoped and priced, and how you pay a US supplier.
We build and audit AI systems that handle regulated documents, financial systems, and the evidence that releases payment. That means agent systems in production, finance fault detection and remedy, field evidence and compliance documents, and AI strategy, audit and governance work.
Peakure LLC is a US-registered studio. Delivery is agent-augmented: the work is carried out with our own agent systems, and every output passes automated review and verification before it reaches you.
Fixed price against a fixed scope, written into an SOW before work starts — one number for the work, and it does not move once agreed. We price against a published schedule rather than an hourly rate, so the cost is known before anyone builds anything. Bring the shape of the problem to the intro call and you leave with a number. We do not take on small projects, and we do not discount — if the budget moves, the scope is cut, never the rate.
An agent setup is a three-week engagement: one workflow from ingestion through extraction and a human review queue to output, plus the evidence layer. Larger engagements are scoped on the intro call and delivered against milestones.
Yes. We build against the systems you already run rather than asking you to replace them. Where an agent needs a tool, we build the tool server for it, with scoped, fail-closed permissions.
Peakure LLC is a US limited liability company and bills on a W-9, the same as any domestic supplier. Engagements start with a 40% deposit, then run on milestones with two revision rounds.
Bring the workflow, the documents and the rules it has to satisfy. An intro call ends with a fixed scope or a clear no.
Book an intro callOr email mert@peakure.com.
