Physical AI for heavy industry.
Two products, one stack. Closed-loop, multi-modal agents — live in 150+ plants of F100 enterprises across 15 countries.
In commodity manufacturing, every dollar per ton counts.
Human error in process manufacturing costs billions of dollars of volume and cost. Management expects the process to be stable and KPIs steady. The floor disagrees.
Ever-changing mix of raw material quality and fuel.
Multiple parameters to observe and control 24×7.
Fuzzy logic and expert optimisation systems work less than half the time.
Skilled manpower is hard to find — and harder to keep.
SOURCE: WOOD MACKENZIE · PROJECT BLUE · RIPIK ANALYSIS (COPPER SMELTER BENCHMARKS)
Production has the lowest AI penetration of any work surface. Physical AI closes that gap.
Anthropic's Economic Index shows production with the lowest theoretical and observed AI coverage of any white-collar category — and the highest unrealized value. That gap is the opportunity.
High-risk decisions
Automation of actions is hard because real money — millions per ton — is at stake every minute.
Reasoning is not enough
Floor decisions need reasoning + domain understanding + physics-based theory operating together.
A unique user persona
100,000 sensors on one hand. Deep distrust of technology on the other. Both live in the same control room.
$20T of manufacturing waiting on the control loop. Physical AI is the unlock.
We see the plant. Then we run it.
Vision IntelliVerse closes the perception loop. Industrial AutoPilot closes the control loop. Two products, sold independently.
45 large enterprise customers in 15 countries.
6 of top 10 steel companies · 3/3 largest cement companies · global #1 zinc producer.
Hover any logo to highlight its plant location on the map.
- United States Steel — USA
- SunCoke Energy — USA
- Orion Steel — USA
- Melon — USA
- UNACEM — Peru
- Samarco — Brazil
- NUCOR — USA
- Tokai Carbon — Japan
- Cemex — Mexico
- Martin Marietta — USA
- Adelca — Ecuador
- Argos — Colombia
- Gerdau — Brazil
- CRH — Ireland
- ArcelorMittal — Luxembourg
- Holcim — Switzerland
- Sun Pharma — India
- Çimko Çimento — Türkiye
- Jindal Shadeed — Oman
- SULB — Bahrain
- Sönmez Çimento — Türkiye
- Bahrain Steel — Bahrain
- Hindustan Zinc — India
- UltraTech Cement — India
- Tata Steel — India
- Adani Cement — India
- Vedanta Aluminium — India
- JSW — India
What 230 deployments taught us.
72% of industrial AI pilots die at the pilot stage. We don't, because we're built outcome-forward — not tool-forward.
Hardware + software
Software alone doesn't deliver outcomes in heavy industry. We ship the camera, the casing (IP67, air-purged), and the edge server — pre-configured for the plant floor.
Deep domain expertise
We sell solutions, not software. Buyers talk safety but pay for process control. Value sits in throughput and cost upstream, quality downstream — we know exactly where to point the model.
Industrial-grade tech
Sub-200ms edge inference. 99.9% uptime. No data leaves the plant. One miss erodes all trust — industrial AI demands cloud-grade SLAs at the edge.
User trust by design
Zero false positives. Embedded controls within AI loops mean operators trust the recommendation — and adoption compounds.
These lessons compound with every deployment — the moat widens as we scale.
Bring AI to your plant.
Most pilots ship inside 8 weeks. The first loop is live by quarter end.