AI production engineering.
You own the result.
Vibe coding gets you a prototype; our accelerators turn it into a governed, production system on your own stack. Some products go live in days, and a full Build engagement embeds senior architects to ship the harder ones properly. You own the result outright.
We take the prototype your team already built and turn it into production software, using our accelerators to do in days what a build normally takes weeks or months to do. Senior architects stand behind the harder work, and you own the result outright.
You get working software in production. Integrated with your systems, wired into your monitoring, governed to the standard your compliance team will actually sign off. Full documentation, CI/CD pipelines, security sign-off, and a proper handover, because the software is yours, and your team can see, maintain, adapt, and extend everything we build. No black box. Software your ops team can support without calling us, though you can.
The CTO or Head of Engineering whose team built a working prototype that works in the demo but cannot ship. Typically 2–3 products simultaneously. Build is for teams ready to put a prototype into production.
What makes up Build
You don't vibe on the production.
Your team built a working prototype. It's genuinely good. It's also held together with hope, and everyone knows it can't touch production.
Vibe coding is how great prototypes get born. Engineering is how they grow up. Testing, security, CI/CD, monitoring, the unglamorous work that turns a brilliant Friday afternoon into a system your business runs on. That's what Build is: taking an AI prototype to production, properly.
“No black box. No ongoing dependency on Inference Group to operate what we build.”
We built ALF for Fresh (Watkin Jones): a live, multilingual AI assistant serving prospective students across web, WhatsApp, WeChat and mobile.
Read the ALF (Fresh) case study →A specific broken or expensive process that AI can run in production: a support triage queue, a procurement decision flow, a document pipeline. Specific, costed, and measurable, not "AI for the business".
Your prototype works in the demo. Let's make it work in production.
Talk to the architects who will actually build it.