AI Solution Engineering &Proof of Concept

Show a real buyer, with a real test, that it solves their problem.

Who it is for

Teams whose AI product works, and who now need to prove it to a specific buyer.

You get

A demo and proof of concept built around one buyer's problem, with an honest plan to judge it.

Starts with

The buyer's problem, in their words.

Sound familiar?

Three situations we hear.

The demo impresses people, then the buyer asks "will it work on our data?"

Your sales conversations stall at the technical questions.

A buyer wants a trial, and nobody has agreed what success looks like.

How it works

We learn the buyer's problem, their systems and who must say yes.
We write down what the proof of concept must show, and what would count as a fail.
We build a focused version that runs on their kind of data, not on clean samples.
We report what worked and what did not, so the buyer decides on evidence.

What you get

A tailored demo for one buyer

A proof of concept on realistic data

An evaluation plan agreed before the trial

Results, including what did not work

Answers to the buyer's technical questions

Where it does not fit

Questions

Is a proof of concept the product?

No. It is a focused test. If it passes, the real build is a separate step.

What if the proof of concept fails?

Then you learn that cheaply, and we say what would have to change.

What do you need from us?

[TODO: Dipto] the answer to this question.

How long does it take, and what does it cost?

[TODO: Dipto] the answer to this question.

Also in Launch & Grow

Positioning, messaging and sales materials that reach the right buyers.

We audit, clean up and look after apps built with Lovable, Replit, Bolt, Cursor or Claude Code, so they keep working once real people rely on them.

Thirty minutes, no cost. Bring the situation as it is today, and we will say whether this fits.