AI PoC to production · Typical solution

The demo worked. Production is a different problem.

88% of AI pilots never reach production. The gap is not the model — it is data readiness, integration dependencies, latency constraints, and compliance architecture. We validate all of it in three weeks.

Fixed price — no billing surprises Senior engineers only You own the output
Who it's for

Two situations where a Pilot works.

Situation A

You have an idea but need proof before committing budget.

You know what problem you want to solve. You are not sure if the architecture you have in mind will hold, or whether the technical approach is the right one. You want working software in your hands — not a 40-page feasibility report — before you make a larger bet.

  • New AI feature that needs PoC-to-product validation
  • Greenfield module with uncertain technical approach
  • Integration with a third-party system you have not worked with before
Situation B

You have a stalled PoC and need to know whether it can ship.

Your team built something that works in a notebook or a demo. It does not work at the scale, latency, or reliability level your product needs. You want a senior team to take it over, diagnose why it stalled, and either fix it or tell you honestly that the approach is wrong.

  • AI PoC that works in testing but not in production
  • Legacy component that needs replacement without breaking the rest of the system
  • Performance or reliability problem with a defined scope
What you get

At the end of three weeks, you have:

Not a slide deck. Not a recommendation without supporting code. You get software and a clear technical view of what comes next.

Book a 30-min technical call
  • Working software you can demo, test with users, or hand to internal engineers
  • Architecture decision record and tech-debt readout
  • Honest recommendation: proceed, pivot, or stop
  • Week-by-week summary notes you keep
  • Optional: one session with your internal team for handoff or onboarding
How it works

Week by week.

01
Week 1

Scope & architecture

We spend the first week understanding your system, your constraints, and what "done" really means. We lock the scope so week 3 is not a surprise.

02
Week 2

Build

Senior engineers build the agreed scope. Daily async standups. You see working code at the end of every day — not a deck.

03
Week 3

Ship & readout

We deliver the working software, the architecture readout, and a clear recommendation. If there are blockers, you hear about them in week 1, not week 3.

Fintech · Series B RDY-2026-014
Risk-scoring platform shipped to production in 14 weeks

Started with a Product Pilot on the underwriting model architecture. The Pilot surfaced two design decisions that would have added six weeks to the full build. The readout became the technical spec for the Build engagement that followed. The platform is now serving 11k decisions per day.

TypeScript · PyTorch · GCP Read the case
Questions

Things people ask before booking.

Is this just a report?

No. The report is supporting material, not the product. The core deliverable is working software: a prototype slice, integration, remediated component, or production foundation you can demo, test, or hand to your internal team.

What do I actually receive at the end?

You receive the agreed working software, source code or handoff package, an architecture/readout note, key risks, and a recommended next step. The exact deliverable is locked during scoping so the three-week engagement stays focused.

What if three weeks is not enough?

It usually is, because we scope to fit it. If your problem needs more time, we will tell you in the scoping session — not halfway through. If scope expands after kickoff, we pause and re-agree before we continue.

Do you sign a DPA?

Yes, when the engagement involves personal data or regulated data flows. We can also sign an NDA before substantive technical disclosure. Final legal terms depend on the project, client environment, and data-processing role.

What if we don't have production data yet?

That is common for early concepts. We can work with representative samples, synthetic data, or a narrow integration slice. The important thing is to document the assumptions clearly so no one mistakes a demo dataset for production readiness.

What do we need to prepare before the Pilot starts?

Access to your codebase or environment (or a clear spec if greenfield), one technical point of contact who can answer questions same-day, and clarity on what a good outcome looks like. We handle the rest.

Who actually does the work?

Senior engineers from our team — no offshore subcontractors, no juniors shadowing for experience. The people in the scoping call are the people who ship the code.

Can a Pilot lead into a larger Build?

Yes, and many do. The architecture readout at the end of the Pilot is the starting document for a Build engagement. There is no lock-in — you can take the output and continue with your own team.

What is the free scoping session?

It is a smaller first step before a paid Pilot: a 60-minute technical discovery call that helps us understand fit, constraints, and likely scope. If there is a real fit, we follow up with a written proposal within five business days.

What kinds of problems are a good fit?

AI integrations that stalled, PoC-to-production gaps, greenfield features with uncertain architecture, legacy components that need replacement without stopping the system, and performance or reliability problems with a clear scope.

Ready to scope a Pilot?

Book a 30-minute technical call. Bring your problem — we will tell you within 20 minutes whether a Pilot is the right shape, and what we would scope it to.

Book a 30-min technical call

A senior engineer replies within one business day, often faster.

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