The problem, in plain terms
What you are trying to accomplish, described the way you would explain it to a colleague. The technical framing is our job, not yours.
Contact
Tell us what you are
trying to build.
One conversation is usually enough to establish whether there is a project worth running and whether we are the right people for it. No pitch deck, no obligation.
Getting started
What is useful to include
None of this is required — a single paragraph is a perfectly good start. But the more of it you can share up front, the more concrete the first conversation will be.
What data exists
Roughly what you have, where it lives, and any handling restrictions on it. Data realities shape the approach more than anything else does.
Constraints that matter
Regulatory requirements, data-residency rules, latency targets, existing vendor commitments, or a deadline you are working toward.
What you have already tried
Including approaches that did not work. Knowing what has already failed saves us both from proposing it again.
Engagement types
Ways to work together
Pricing is set per engagement, based on scope. We will give you a figure before any work begins.
Advisory
A scoped assessment or technical review, delivered as a written report. Typically the starting point.
Project
Fixed-scope delivery — a prototype, a fine-tuned model, a deployment, or an integration.
Retained
Ongoing engineering capacity for teams building AI features continuously.
Hosted capacity
Dedicated inference on our hardware, billed monthly against allocated capacity.
On pricing. We quote per engagement rather than publishing rate cards, because the useful number depends on scope, data, and constraints. Ask, and you will get a figure — not a discovery process designed to extract one.
Ready when you are.
Send a note describing the problem. We reply to every genuine enquiry.