Process

A delivery model built for regulated work.

Scope in writing, prove it on your data, build on your infrastructure, then run it. Experts review the work before it reaches you.

Assess

A scoping call, then a written scope: the question you need answered, the deliverables, the review cycles included and how the work will be priced.

Pilot

A focused pilot on your own data. We measure accuracy against a known good answer where one exists, and we tell you plainly what the pilot showed.

Build and deploy

The production system on your infrastructure (AWS, Azure, GCP or on premise), with role-based access, audit logging, evaluation and monitoring.

Run and support

We operate it. Model updates, performance tracking, and expert review on call.

Principles

What does not change between projects.

Scope in writing

Deliverables, review cycles and price are agreed before work starts.

Software drafts, experts decide

A qualified person reviews the work before it reaches you.

Everything traceable

Material statements link back to their sources.

Your data stays yours

Deployed on your infrastructure. We are happy to sign an NDA first.

Honest about limits

We do not publish accuracy figures until the evaluation is complete.

No lock-in by design

Ownership and licensing are agreed in writing before work starts.

Ready when you are

Know where you stand
before you build.

Tell us about your AI initiative or your next filing. We will tell you what a scoped engagement would cover and how it would be priced.