Joules AI is building autonomous AI agents for the Grid Edge — orchestrating energy, carbon, and resiliency across data centers, airports, campuses and industrial facilities. Our reinforcement-learning agents continuously learn, adapt, and execute operational tasks, enabling a decentralized, intelligent grid that reduces costs, carbon, and risk.
AI Agents for the Grid Edge
Founded by a collective of innovators with AI and energy expertise; track record of being industry pioneers who have been awarded over 30 patents and have repeatedly built complex and scalable systems.
Our Energy Grid Needs AI Agents, Not Dashboards
The grid edge is exploding in complexity:
DERs, batteries, EVs, solar, generators
Volatile energy prices and demand charges
Carbon constraints and resiliency requirements
AI and data-center loads growing exponentially
Yet most energy systems are still operated with static rules, human-in-the-loop decisioning and backward-looking optimization.
Joules AI exists to address this existential gap.
JoulesAI’s vision is to create and deploy multi-objective autonomous AI agents that learn, decide, act and adapt in real time; turning microgrids, DERs, and data-center power systems into adaptive, self-optimizing energy flow infrastructure.
Our reinforcement learning based system continuously evolves to deliver measurable benefits.
Our Impact:
10%–30% cost savings compared to TOU-based controllers
Significant carbon offsets through intelligent use of renewables and storage
More resilient facilities; ready for grid outages and peak demand events
Improvement in asset health; reduction in failures and downtimes
