We design, build, and launch AI products that perform in the real world — from a first prototype to a system running in production. Our roots in computer vision and edge AI mean we engineer for speed, reliability, and scale from the very first sprint.
Trusted by teams building production vision systems
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Many teams hold a promising AI idea and an early experiment. The real engineering lives in the distance between that experiment and a dependable product, and that distance is where we focus. We build complete AI products: the model, the software around it, the infrastructure beneath it, and the design that makes people want to use it.
Our specialism in computer vision and edge AI shapes how we build everything. We engineer for real-world performance, cost, and reliability from day one, so the product that wins the demo is the same product that thrives in production.
We cover the full range of AI product work, from a first proof of concept through to a mature platform:
Bespoke AI applications built around your workflow, your data, and your goals.
A focused first version that proves value quickly and gives investors and stakeholders something real to back.
Our specialism: vision features engineered to run reliably in the field, in the cloud or at the edge. See the Hardware-Optimized Computer Vision service for the engineering behind them.
Intelligent capabilities added cleanly into software you already run, designed to fit your architecture and your team.
Exploring what is newly possible with AI and shaping it into a practical, fundable roadmap.
Outcome | What it means |
|---|---|
A working product in users’ hands | Software that performs in production, built and tested against real conditions. |
Speed to value | A focused MVP delivered in weeks, giving you something real to learn from and build on. |
Production-grade from the start | Architecture designed to scale, with performance and reliability engineered in early. |
Predictable scope and cost | Fixed-scope engagements with clear deliverables and acceptance criteria. |
Full ownership | Your code, your models, your weights — yours to run and to extend. |
A clear, staged process carries an idea from first sketch to live product. Each stage ends with something tangible and a decision point, so momentum and confidence build together.
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Industry-wide, roughly half of AI prototypes reach production; the other half stall in the gap between a working demo and a dependable system. We design every engagement to land on the right side of that line. Production-readiness is part of the plan from the first sprint, so the path from prototype to product stays short and predictable.
Engagements begin with a paid technical discovery — a short, fixed-scope phase that turns your idea into a costed plan, a validated approach, and a clear first build. From there, delivery runs on milestone-based contracts with defined acceptance criteria, so progress and cost stay visible throughout. Ongoing improvement runs as an optional retainer scoped to your roadmap.
AI product work draws on the rest of what we do. It most often runs alongside: