Tools your customers use
AI inside your product — writing, searching, summing things up. Tested before every release, so quality never dips.
Capability / Generative AI
A generative AI development company that gets it working.
You've seen the demos. Now you want AI that actually works at your company. That's what we build — tools that write, read, sort, and answer, live inside your business in weeks.
Most AI projects die between the demo and the real thing.
A demo takes a weekend. The real thing — safe, tested, and steady on a busy Monday — is the hard part. That's why so many AI projects never make it out of test mode.
We close that gap with one team. We plan the build around your real data, test it until the numbers prove it works, and turn it on inside your business. You see the quality scores. You see the costs. No black boxes.
01/ What we build
Generative AI development services, in plain terms.
Helpers for your team
An assistant trained on your documents and your way of doing things. It shows where each answer came from, so people can trust it.
Answers from your own files
Ask a question, get the right answer from your company's documents — even when those files are a mess.
Paperwork on autopilot
Reports, proposals, and letters drafted in your voice. A person approves before anything goes out the door.
Proof it works
We test every build against real examples from your business. Quality and cost live on one dashboard you can check anytime.
Safety built in
Private info stays hidden. Trick questions get blocked. Every answer is logged, so there's always a paper trail.
02/ How it works
From idea to live, in four moves.
01
Pick the targetWeek 0–1
We find the task worth automating and agree on what "working" means — in plain numbers, before any building starts.
02
Build it for realWeek 1–3
We build with your real data, not a polished demo. Your team gets to try to break it early, while changes are still cheap.
03
Make it safeWeek 3–5
Testing, safety rules, and a live dashboard. If answers ever start to slip, you know right away — not after a customer tells you.
04
Turn it onWeek 5–6
It goes live. Your team learns to run it. Everything is written down, so nothing depends on us being in the room.
We pick the AI model by testing it on your work — not by hype. If a cheaper model wins, you get the cheaper model.
What we work with
Claude & frontier LLMsOpen-weight modelsSearch over your filesFine-tuningAWS / Azure / GCPQuality testingCost trackingHuman approval steps
03/ Straight answers
Questions we get on the first call.
What does a generative AI development company actually deliver?
Working software, not advice. A typical project ends with a live tool (a helper, a document pipeline, or a product feature), a test suite that proves it works, everything running in your accounts, and a trained team. The part you feel is the work that got faster.
How much does generative AI development cost?
About what one good hire costs over three months — but it's working in six weeks, not six months. Every build gets a fixed price before we start, right after the two-week plan. And if the honest answer is "this won't pay for itself," we say so early, while it's still cheap to hear.
Do we need to clean up our data first?
No. Waiting for perfect data is how projects die. We build tools that handle messy files, and we only clean up the data the project actually touches. The build sets the plan — not the other way around.
Which AI model should we use?
The one that wins on your work, at your quality bar, inside your budget. We test the options on your real examples during the planning weeks. And we build so the model can be swapped later — this market moves too fast to marry one vendor.
Have an AI idea in mind?
Bring it to a 30-minute call. You'll leave knowing if it can be built, what it costs, and how fast it goes live.
No theater. No black boxes. Scoped in one call.