Bespoke AI development engagements — discovery, prototyping, production engineering, and post-launch support — sized to your business case rather than packaged into shrink-wrapped offerings that don't quite fit.
Generic AI products solve generic problems. The interesting work — competitive moat, real cost savings, genuine product differentiation — sits in problems specific to your data, your users, and your workflows. Custom AI engagements meet you there.
Discuss your project ↗Every engagement gets shaped to fit, but these are the building blocks we rely on.
Two-day intensives with your leadership and technical teams to identify high-leverage AI opportunities and rule out the dead ends.
Three-to-six-week prototypes that prove or disprove an idea on real data. Honest about what works and what doesn't.
Hardening prototypes into reliable, observable, scalable production systems. The unglamorous work that turns research into revenue.
Reviews of existing AI systems for accuracy, cost efficiency, security, and operational maturity. Findings prioritized by impact.
Senior AI engineers embedded into your existing team for fixed engagements. Knowledge transfer is part of the deliverable.
Ongoing AI capability building — multiple prototypes per quarter, shared backlog, and a stable team that compounds knowledge of your domain.
Two decades of engineering practice, sharpened by the realities of production AI.
Custom means custom. Every engagement starts from your data and your problems, not a template we're trying to sell.
AI projects fail when junior teams build research-grade code in production. Our leads have shipped AI for years, not weeks.
If an off-the-shelf SaaS solves your problem, we'll tell you. We'd rather help you adopt the right thing than build something redundant.
Models, code, datasets, and IP transfer to you on completion. We don't keep proprietary holds on what we build for clients.
Let's discuss how this fits your business. We reply within one working day.
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