A distributed, real-time platform that unifies forecasting, matching, and trading — powered by AI agents and autonomous energy robots.
A distributed, real-time energy portfolio operating system that unifies forecasting, matching, and AI agents.
Read-only insights & dashboard overlays
Submit forecasts, manage orders, execute trades
A fully operational order book engine with price-time priority matching runs for every tradeable delivery hour. Producers and consumers are treated as first-class market participants — each with its own positions, orders, and trade history.
Granular bilateral power transfers based on geographic proximity, renewable energy requirements, or any custom criteria — all validated against live intraday delta positions with full audit trails.
The rebalancing strategy engine continuously monitors forecast deltas and automatically adjusts market positions. Operators can override default pricing logic with natural language strategies — described in English, deployed at runtime.
Portfolio managers today rely on disconnected systems built for a different era.
Disconnected systems. Dozens of screens. Spectator tools that ingest and display data but can't act when the market moves in seconds.
Energy portfolio managers today rely on multiple disconnected systems and look at dozens of screens. These systems ingest data and display it — but when the market moves in seconds, they become spectator tools.
Energy transition is creating an explosion of distributed assets. Platforms built for 50 large power plants simply cannot handle 50,000 distributed assets.
The energy transition is creating an explosion of small, distributed assets — each needing real-time position management. Platforms built for 50 large power plants cannot handle 50,000 distributed assets.
| Dimension | Legacy | aequilibrium OS |
|---|---|---|
| Architecture | Hundreds of microservices | Distributed, horizontally scaling |
| Latency | Seconds to minutes - batch-oriented | Near real-time event-driven processing |
| Customization | Weeks of IT coordination and integration meetings | Cloud-native distributed architecture by default |
| AI Integration | Dashboard overlays, read-only insights | Agents that read and write - place orders, submit forecast, manage orders |
| Data Pipeline | Scattered data | Single source of truth |
| Algo Development | Dedicated quant teams, weeks to deploy | Describe strategy in English — run it in production in one conversation |
We believe the future of energy lies in a fully digital, distributed world powered by intelligent systems.
aequilibrium OS is a distributed, real-time energy portfolio operating system that unifies forecasting, matching, and trading — powered by AI agents and autonomous energy robots.
These AI agents support asset owners in managing, analyzing, and modeling their portfolios, while autonomous robots execute optimized decisions and trading strategies in real time.
By orchestrating thousands of distributed energy producers and consumers, we are enabling a new, scalable way of managing and trading energy — more efficient, transparent, and fully automated.
We believe this is the future of energy — and we are actively helping to shape it.
A fully digital energy ecosystem where thousands of distributed producers and consumers operate as one unified system.
Intelligent agents manage, analyze, and model portfolios while autonomous robots execute optimized decisions in real time.
More efficient, transparent, and automated energy trading — from forecasting to execution, all handled autonomously.
Our team combines decades of hands-on experience across energy trading, quantitative finance, and engineering — directly involved in building automated trading systems and digital energy platforms from the ground up.
We were pioneers of fully automated CHP power plant optimization in Denmark and early adopters of algorithmic energy trading in European markets. Our experience spans complex energy portfolios including wind and distributed assets, combined with production-grade trading platforms, execution engines, and AI-driven optimization models designed to scale autonomously.
We continuously integrate the latest developments in AI and automation, combining proven market expertise with cutting-edge technology to shape the next generation of energy management and trading.
Our team members have gained experience working with leading energy companies, including Eneco, Vattenfall, Neas, Centrica and Northpool.
We didn't build a better dashboard. We built the platform that makes dashboards obsolete.