Approach
We are practitioners, not career consultants. We build things that work, measure the outcome, and hand you the keys.
Our principles.
Boring over clever
If a regex solves the problem, we use a regex. AI is expensive and non-deterministic. We use it only when traditional software engineering falls short.
Evals before generation
You cannot improve what you cannot measure. We build evaluation pipelines before we touch a prompt. If you can't test it programmatically, it shouldn't go to production.
No vendor lock-in
We build abstract interfaces around language models. When a better, cheaper model drops next week, you can swap it in without rewriting your application.
Skepticism as a service
We will tell you if an idea is bad, even if it means we lose the contract. We protect our clients from wasting capital on AI hype.
What to expect.
The introductory call
A 30-minute conversation to understand your business and determine if there's a fit. No sales pressure. Just facts.
The discovery phase
Usually 1-2 weeks. We embed with your team, look at your data, and write a concrete proposal outlining exactly what we'll build and what it will cost.
Execution
We build in the open. Weekly demos, shared Slack channels, and direct access to the engineers writing the code.
Handoff
We deliver fully documented code, train your engineers, and step away. You own the IP.