Prototypes & Custom Builds

Prove it in weeks, before you commit to months.

The fastest way to kill a bad AI idea — and to fund a good one — is a working prototype against a single use case, with success defined up front. We build that, show you real output on your data, and only then talk about the production build.

Two ways to prove it

A prototype proves value where it will actually live.

We time-box one use case, agree what "working" means before we start, and plan the path to production from day one. Pick where the proof matters most.

Internal-process POC

Prove the value on a workflow your own team runs — the drafting, review, or research task that eats hours today. We show it working on your real material, against a target you set.

  • One internal use case, one clear success bar
  • Real output on your data, not a canned demo

Fixed project fee · time-boxed

Customer-facing POC

Prove it in a flow your customers touch — an assistant, intake, or self-service step — with the UX, safety, and latency questions surfaced early, while they're still cheap to answer.

  • One customer-facing flow, de-risked
  • UX, safety, and latency tested before you scale

Fixed project fee · time-boxed

From prototype to production

A prototype is a doorway, and we say so plainly.

A POC that dazzles in a demo and dies on the way to production helps no one. We scope the prototype to answer the real question, and we hand you an honest read on what production would take.

  • One use case, tightly bounded — we resist scope creep on purpose, because a focused proof is a fast proof.
  • Success defined before we build — you agree the bar up front, so the result isn't a matter of opinion.
  • A real path to production — the prototype comes with a clear-eyed view of the hardening, integration, and cost to make it live.
  • No sunk-cost trap — if the proof says don't, you've spent weeks, not a quarter, to find out.
# Prototype — scoped per idea
use_case: one, well-defined
timebox: weeks, not quarters
success:
  - metric: agreed before build
  - demo: real data, real output
to_production:
  - hardening: what's still needed
  - cost: honest estimate
verdict: go / no-go, evidenced

How it runs

Time-boxed, fixed-fee, and it ends in a verdict.

A prototype is a fixed-price project with a hard edge — one use case, one deadline, one clear answer about whether to build.

Weeks
A working proof in weeks, not an open-ended experiment
One use case
Scoped tight on purpose — a focused proof is a fast one
Go / no-go
You leave with evidence for the build decision, either way

Where this fits

The front door to a build.

Prototypes sit early in our process — assess, build, deploy, enable — usually right after a diagnostic has pointed to the use case worth proving. When the proof lands, the same team carries it into the full custom build; when it doesn't, you've lost weeks instead of a quarter. Either outcome is a win.

Have an idea worth proving?

Tell us the one use case you'd most like to see working on your own data. We'll scope a time-boxed prototype and a clear definition of done.