Real-world, real-time AI with rapid ROI for the energy industry — a unified agentic platform relieving urgent pain points across industrial energy, carbon accounting, and green hydrogen.
We unify multi-modal, trust-assured AI to relieve urgent pain points across the energy value chain — from wasted electricity on the factory floor to unreliable carbon accounting to the cost of green hydrogen itself.
Near-term, intermediate, and longer-term offerings across the energy value chain.
Smart edge devices with MIT TinyML detect energy waste at the machine level in real time — no downtime, plug-and-play.
Domain AI eliminates the 30–70% global CO₂ accounting error rate. A Harvard ultra-low-energy blockchain creates an auditable, immutable carbon ledger.
H₂O + light + catalyst = clean H₂ at scale. No electrolysis required — targeting $1–2/kg vs. $4–8/kg for electrolytic green hydrogen.
Every layer of the platform is purpose-built for the hydrogen and energy ecosystem.
Specialized for chemistry, CO₂ accounting, energy efficiency, gas separation & storage.
Unsupervised learning of energy signatures for anomaly detection and optimization.
Best-in-class sensing via EU corporate partnerships for precision energy monitoring.
Industrial-controls partnerships enable seamless global industrial system integration.
Treats energy as a dynamic production variable, not a fixed cost.
Proprietary, well-curated data from twelve leading global institutions.
H2AI