The energy landscape consists of many silos — generation, storage, transportation, applications, and regulation — each focused on its own problems, but not communicating with the others. Energy aIQ is our unified, agentic AI platform built to work across every one of them.
There is generation and production, spanning the full range of energy sources and pathways in use today — from grid electricity to industrial fuels to next-generation clean hydrogen. There is storage and transportation, which can easily eclipse the cost of production if not properly managed.
Next comes the myriad of use cases and applications — why is a given energy source the best solution for a given circumstance? How will demand curves and resulting pricing curves dictate broader adoption?
Last but not least is the influence of legal, regulatory, and governmental impacts. How will the actions of governments around the globe either accelerate or impede the transition to smarter, cleaner energy?
Facilitate and incentivize public-private data exchange across silos while maintaining ownership rights and ensuring validity, security, and transparency.
Generate correlations, find cause-and-effect relationships, and develop insights and operational models of interacting processes and systems, training our AI models on proprietary, energy-specific data.
Multi-objective, multi-parameter optimization using operational models.
Find anomalies, and adjust process and system parameters to eliminate them.
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.
H2AI