Xubek · Applied AI House · London
Xubek is an applied-AI house. We build production-grade software for the industries that demand more — and the disciplines that haven't asked yet.
01
We pick a vertical.
We learn it the long way.
Then we ship the tool that should already exist.
AI is a substrate, not a product. The work is in the verticals — plumbing intelligence into the messy, real-world problems that have resisted easy software for decades. Each one becomes its own company underneath, raised under the Xubek hand. Then we do it again.
02
Distinct forms for distinct domains. Each vertical is its own product company underneath, brought up under the Xubek hand.
The largest, slowest-moving software market on earth. Architecture, construction, real estate — verticals where AI can finally do the heavy lifting.
Currently in beta: generative design tooling and supply-chain intelligence for the building sector.
Chronic conditions are managed by humans, alone, with paper logs. AI changes the floor.
Currently in beta: a comprehensive metabolic-health companion that fuses computer vision, longitudinal pattern analysis, and personalised guidance.
We pick verticals where the data is rich, the workflows are broken, and a product can compound.
Tell us what we should be building.
03
Xubek is product-first. The small number of engagements we take on are anchored to the verticals we already build in — work that compounds into our products, not parallel to them.
Services are limited by design. We are a product company first.
04
The products we build assume AI in the foundation, not as a feature. That's why they ship faster and feel different in the hand.
A generic AI tool is a commodity. A tool that knows the difference between a structural beam and a finishing fixture is a product. We earn the depth.
A small team, augmented by AI, with clear product judgement, ships more than a large team without it. We hire for taste and tenacity, in that order.
05
If you're building in a vertical and you think AI should be doing more of the work — we'd like to know.