Our multi-agent AI system for aluminium anodising was reviewed by an independent panel of expert assessors under Innovate UK's Agentic AI Pioneers Prize — Development Phase, validating both the technical approach and its commercial potential.
A seven-agent AI architecture built to optimize industrial aluminium anodising in real time — reviewed independently on technical credibility, workflow fit, deployment readiness, risk management, and commercial impact.
Up to 96.5% quality conformance in validated simulation, up from an industry baseline of roughly 32% — a 200%+ improvement, statistically significant at p < 0.001.
Energy consumption reduced by 28–39% depending on alloy type, cutting cost and carbon footprint without compromising coating quality.
All outputs validated against ASTM B580 Type II compliance standards, with zero safety violations across every tested configuration.
Selected extracts from the written feedback of the three independent assessors who reviewed our application.
Recognition from an independent panel matters less to us than what it represents: a rigorous, external check on whether this approach actually holds up. It does — and now we're taking it from simulation to the shop floor.
Talk to us about a shadow-mode pilot for your anodising process — no production risk, real data, and a clear path to validated results on your own equipment.