Tell us the problem you want to solve
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How we work
From readiness assessment to a production system you own.
(Optionally managed by DataProphet)
From first look to production
Readiness assessment
We review your data, systems, and goal. You receive a readiness report, a workshop with your team, and a delivery plan that says what is possible, what it would cost, and what it would return.
Build and validate
A working system on your data, measured against your KPIs, with a go/no-go decision at the end.
Production and improvement
We deploy into your environment, integrate with your systems, and keep the models current as your data changes.
What you own in a custom build
These terms cover custom machine learning work. Our products, DataProphet Connect and Prescribe, have their own terms: see the platform page.
- The code, the trained models, and the documentation, from day one, in your own repositories.
- The infrastructure: systems run in your cloud or on your hardware.
- No licence, per-seat, or per-query fees. Where a system uses a commercial language model, usage is billed to you at cost through your own cloud account.
- Your team's capability: we pair with your people, so the knowledge stays when we leave.
Our team
Engineers, statisticians, and scientists, most with postgraduate degrees in engineering, statistics, or computer science. Every engagement is led by a principal.
Meet the team →