Prototype first · pay after
Add AI that actually does something useful.
We build AI features into your product or operations — assistants, document processing, search, agents — grounded in your data and built to be reliable, not a demo.
Book the call → a working AI prototype on your sample data within 24 hours. $0 until you've seen it.
The real problem
The board wants AI, the competitors announce AI, and every vendor demo looks magical — for the four minutes it's on rails.
The gap between a demo and a production feature is everything the demo skips: grounding in your data, accuracy evaluation, cost control, failure handling, monitoring.
That gap is exactly what we build. We ship AI that does a job — measured, grounded, and reliable enough to put in front of customers.
The deal
You see it before you pay for it.
Book the call and brief us. Within 24 hours you get a working AI prototype on your sample data — free. If it's not obviously right, walk away owing nothing. If it is, we scope the full build with a fixed quote.
What you actually get
Everything it takes to ship. Nothing it doesn't.
Assistants & copilots
In-product help that answers from your data — with citations, not vibes.
Document processing
Contracts, invoices, applications — extracted, classified, and routed at production accuracy.
Search that understands
Semantic search over your content — findable beats indexed.
Agents & automation
Multi-step work handled end-to-end, with the guardrails that make it trustworthy.
Evaluation & monitoring
Accuracy measured before launch and watched after — because 'seems right' isn't a metric.
How it works
From this page to shipped.
- 1
Book the call
Pick a time and tell us what you're building — 30 minutes, plain English, no deck.
- 2
See it in 24 hoursfree
Within a day of the call, a working AI prototype on your sample data is in your inbox. Free, before any commitment.
- 3
We scope the use case
Where AI creates real value in your product or ops — and where it honestly doesn't.
- 4
We build & ground it
Connected to your data, evaluated against real cases, engineered for cost and failure.
- 5
We ship & measure
In production, monitored, improving — a feature, not a press release.
Shipped
Real products, in the wild.
We choose who we work with
Who this is for.
This is for you if
- ✓You have a concrete job AI should do — or want help finding the real one
- ✓Your product has data an assistant should be grounded in
- ✓Ops teams are drowning in documents a model could process
- ✓You've been burned by a demo that never survived contact with users
Not for you if
- ×You want 'AI' on the homepage more than in the product
- ×There's no data yet for AI to be useful with — build that first
Sound like you? Book your call →
Before you ask
Questions you're probably asking.
Which models do you use?
Whatever the job needs — frontier APIs (Claude-class) where quality matters, smaller or self-hosted models where cost or privacy leads. The architecture keeps you portable.
How do you stop it making things up?
Grounding (it answers from your data, with citations), constrained outputs, and an evaluation suite run before and after launch. Hallucination is an engineering problem, and it's treatable.
What about our data privacy?
Your data stays in your infrastructure; model calls are scoped, logged, and where needed run on zero-retention endpoints. We'll walk through the exact data flow on the call.
What does it cost to run?
We engineer for unit cost from day one — caching, routing, right-sized models — and you see projected per-use economics before launch, not after the first bill.
The demo era is over. Ship the feature.
One call · a working AI prototype on your sample data in 24 hours · $0 until you've seen it