Tell us the decision you wish AI could get right.
No pitch deck, no jargon. Just a conversation about the model, pipeline, or agent you have in mind — and whether we can hit the accuracy bar that makes it worth shipping. We reply within one business day.
Prefer to talk? Book a 30-minute call.
Before you write.
Do we need our data to be clean and labelled first?
No. Messy, partially-labelled data is the normal starting point — and frankly the problem we are best at. The diagnostic sprint is where we assess what you have and how far it gets us; you do not have to tidy up before we talk.
What accuracy can you actually promise?
It depends on the problem and the data — but we will not quote a number we cannot defend on held-out data. For many classification and detection tasks we target 97%+ with a low false-positive rate, and we tell you honestly when that bar is realistic.
Do you only build deep-learning models?
No. Models are the core, but we also build agentic systems, RAG and context pipelines, fine-tuned LLMs, chatbots, and the MLOps to run all of it. If your problem is data-rich and decision-heavy, it is in scope.
What does a first conversation look like?
Thirty minutes, no slides. You walk us through the decision you want AI to get right, and we tell you honestly whether and how we would approach it — and what accuracy is realistic.
How quickly can you start?
We typically start a diagnostic sprint within 1–2 weeks of the first call. We keep our engagement load tight so you get a team that is genuinely focused on your problem.