What it sells
Industrial AI.
Business model breakdown
Buyer: who owns the budget?
UnverifiedPlant/operations leadership at cement, glass and steel producers (case study with Heidelberg Materials).
Trigger: what makes them buy now?
Fuel cost, emissions and process variability pressure in energy-intensive plants.
Workflow: what inputs become what output?
Learns from plant data and works alongside operators in the control room, resolving problems before operators see them; solutions engineers on site; 8 weeks to go live.
Economics: what it saves and how it charges
Software sold to plants with ROI claims: 4% reduction in fuel cost index (2.2% lower specific heat consumption), 33% lower C3S variability, 2% lower fuel-derived emissions at Heidelberg Materials.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| 2026-06-03 | — | 26 M$ | Plural | news.google.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.