production AI
The AI pilot that never shipped goes live in 30 days
Your notebook works on demo data, and nobody can say if the model got worse last week. Engineers with 25+ years in production turn it into a Go service inside your ERP, CRM and ticket queue, evals in CI, live in 30 days.
Name the workflow today. Within 48 hours an engineer sends back the build plan, a fixed price and a date.
A spec in Word, a Python notebook that works on demo data, one closed vendor API.
- spec.docxWord
- proof-of-conceptPython · notebook
- vendor APIclosed
- evalnone
30 days from notebook to production
A Go agent runtime, typed tools, an eval gate in CI and traces you can search.
- agent runtimeGo
- tool layerTypeScript
- eval harnessCI gate
- tracesOpenTelemetry
From pilot to production in 30 days
- 01days 1–3
Pick one workflow
One process with volume and a right answer. We measure what it costs you today in minutes and errors, and that number becomes the bar the build has to clear.
- 02days 3–8
Build the eval set first
Hundreds of real cases from your own history, each with the answer your people gave. From here on, better or worse is a number in CI.
- 03days 8–22
Build the runtime and tools
An agent runtime in Go, typed adapters into your systems and an approval step on anything that writes. Evals run on every commit from the first one.
- 04days 22–30
Ship it and hand it over
Traces, a runbook and a day with your engineers so they can change prompts and tools without calling us. On day 30 the workflow runs in production.
What the platform does, what our engineers do
Reading your codebase for integration points
Platform
Hours on a repository a person would spend days reading.
Choosing the first workflow
Engineer
Volume, a checkable answer and an owner on your side. Our engineers pick the one that pays back first.
Tool adapters to your APIs
Both
The platform drafts from the API contract. An engineer fixes what the contract gets wrong.
The eval set from your history
Both
Pulling cases is automatic. Deciding which past answers were right takes someone who knows your business.
Regression runs on every commit
Platform
A drop in score fails the build, the same way a broken unit test does.
What the agent may write to
Engineer
Your risk and your call, written down and signed before anything runs.
On a documented codebase the platform carries more. On a twenty-year-old one our engineers carry more. The date in the contract holds either way.
Who builds your AI
Our engineers have been shipping production systems for more than 25 years, next to COBOL, RPG, VB6, Delphi and PHP, and the same people build the agent layer. They are the best people for this work because they know where your money moves. The AI they ship sits inside the systems that carry your revenue, with tests that fail the moment it gets worse.
Fixed price, a date in the contract and the code in your repositories from day one. The eval suite is the acceptance test: a workflow below the agreed score is not accepted.
What CTOs ask before they sign
Is this a wrapper around a chat API?
The model is one component, the way a database is one component of your billing system. You pay for the tool layer, the approval gates and the evals that catch a model update making things worse. That takes engineers with 25+ years in production, and it is what we build. Send the workflow and read the plan.
What happens when the model changes underneath us?
The eval suite runs against the candidate model before anything switches. If the score drops, you stay on the current model until prompts and tools catch up, and you hear about it from CI long before a customer notices. The eval plan comes with your quote.
Can it run without our data leaving the network?
Yes. Our own fine-tuned models run inside your network or cloud account, fully air-gapped if you need it, on your hardware or on hardware we supply. The specifics go into the contract. List your constraints in the form and the quote is priced for them.
Who owns what you build?
You do. Plain Go and TypeScript repositories, ordinary libraries, prompts in version control, and no runtime call back to us. Your engineers change a tool, rerun the evals and ship without us in the room. Send the workflow today and the ownership terms arrive with the price.
We already burned a quarter on a pilot. Why would this one ship?
Pilots die when nobody defines a right answer before building. We build the eval set first, from your own history, so the workflow is measured from the first commit and ships on day 30 with a score attached. Send us the pilot you gave up on and we start there.
Name the workflow
Pick the process you would automate first and tell us what a mistake costs you. Within 48 hours you have the build plan, a fixed price and a date. Thirty days later it runs in production.
The form takes about ten minutes. An engineer reads it and replies, usually the same day.