Verified AI engineering pods scope, build and deploy inside your systems. Every milestone has acceptance criteria you agreed to before the build — and your money stays protected until they pass.
A 45-minute call. We map the process, the data and the systems it touches. You receive a written opportunity assessment — or a clear “not yet”.
Architecture, dependencies, risks, milestones and the acceptance tests — locked before anyone writes code. This is the contract’s spine.
A verified pod builds against your golden dataset. Each milestone is funded up front and released only when an independent reviewer confirms it passed.
Deployed in your environment. IP assigned to you. Monitoring handed over. 30-day warranty. Then the next use case.
Every ProofDeploy engagement is a fixed-price contract with measurable tests per milestone. An independent reviewer — never the builder — checks the evidence. You accept. Then payment releases. If a criterion fails: remediation sprint, independent re-check, replacement pod, capped refund. Written into the contract, not a marketing promise.
Computer vision and edge AI follow once the first categories have production references.
Lead architect, ML engineer, data/integration engineer, domain operator. Every engineer holds a ProofDeploy Passport — identity, production evidence, security review, delivery history. Scored, re-certified, invite-only.
We run ProofDeploy on our own operation first. The problem, the acceptance tests and the before/after numbers are published here once the contract is accepted — never before.
A 45-minute Discovery call. If there is no measurable outcome worth building towards, we will tell you — and that costs nothing.
Start a Discovery AI engineer? Request an invite →