AI for ready-mix concrete — optimising the mix, and watching the aggregate bins by camera.
An AI company for ready-mix concrete manufacturing, incubated at the JITO Incubation & Innovation Foundation, building optimisation and monitoring tools for plant operators and construction engineers.
Deep-domain AI, not a chatbot bolted onto a dashboard. One product optimises concrete recipes and predicts strength before a batch is poured; the other reads aggregate levels in plant bins from vision alone, with no extra hardware to install on a working site. Both live in an industry where being wrong is expensive in material, in rework and in carbon — which is exactly why the predictions have to be defensible.
The company describes it as the world’s first AI-driven simulator for optimising concrete recipes and predicting strength. The commercial argument is straightforward: less over-engineering of the mix means lower cost and lower embodied carbon per cubic metre.
A computer-vision system that measures aggregate quantity in plant bins in real time, explicitly without additional hardware. On a working plant, “no new sensors to install and maintain” is the difference between a pilot and a rollout.
A marketing surface that has to explain two unfamiliar products to plant operators and engineers, then route a qualified enquiry into a booked demo — a considered, technical sale, not a signup.