AIcrete Solutions Ltd · Registered in Mauritius · Est. 2026
AIcrete Solutions is an AI-powered platform for Ultra-High Performance Concrete (UHPC) mix design and analysis. We help structural engineers, concrete researchers, and precast manufacturers move faster through the mix design process — without replacing the laboratory work that underpins safe construction.
Our platform predicts compressive strength from mix design inputs using a machine learning model trained on real UHPC experimental data. From that prediction, it automatically derives tensile strength, elastic modulus, pulse velocity, embodied carbon, and cost — all calibrated to your chosen international design standard.
Designing an effective UHPC mix traditionally requires weeks of iterative laboratory testing, significant material cost, and deep specialist expertise. Engineers working in markets where UHPC expertise is limited — or where laboratory capacity is expensive — often face long lead times before they can confidently specify a mix.
AIcrete Solutions compresses the early-stage design process from weeks to seconds. It does not replace laboratory validation — but it dramatically reduces the number of trial batches needed by helping engineers identify promising mix designs before physical testing begins.
The AIcrete Solutions platform includes:
The platform currently supports 12 international design standards:
AIcrete Solutions Ltd is a technology company registered in Mauritius, founded by a researcher with expertise in concrete engineering and machine learning. The platform was developed to bridge the gap between academic UHPC research and practical engineering application — making advanced mix design tools accessible to engineers across all markets, not just those with access to specialist concrete laboratories.
We are currently in pre-launch, accepting waitlist registrations from engineers, researchers, and industry professionals who want early access.
We welcome enquiries from engineers, researchers, precast manufacturers, and industry organisations interested in early access, collaboration, or partnership.