Full-stack energy company building grid management and renewable trading systems
Fuse Energy operates across hardware, software, and trading layers—GIS + IoT sensors (Zigbee, Bluetooth Low Energy, MQTT) feed into Python/TensorFlow backends, React frontends, and real-time power trading systems on AWS. The stack shape (heavy on signal acquisition, numerical computing, and ML) reflects a company moving beyond software into distributed energy assets and grid optimization. Hiring is accelerating across 9 countries with 30 engineering roles open, signaling rapid scaling of both distributed installations and the backend systems to manage them.
Fuse Energy, founded in 2022 and based in London with operations in New York, builds a full-stack energy platform to reduce energy costs and advance renewable capacity. The product spans renewable generation design (utility-scale solar and battery storage), real-time grid management systems, distributed energy control, and AI-powered power trading. The company operates at the intersection of hardware deployment (installations in Ireland, UK, UAE, Europe), digital twin simulation, and grid compliance—managing balancing, connection requirements, and consumption forecasting. Raised $170m from Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, and Multicoin.
Core: Python, TensorFlow, PyTorch, Pandas, NumPy for modeling and ML. Frontend: React, TypeScript, Next.js. Hardware: GIS, Zigbee, Bluetooth Low Energy, MQTT, CoAP. Infrastructure: AWS, AWS CDK. Simulation: PVSyst, LTspice, PLECS. Adopting: Cinema 4D, Spline for visualization.
Real-time digital twins of renewable generation, grid management systems, battery storage (BESS) portfolio design, power trading and AI optimization, distributed energy installations, and a backend platform for energy consumption data pipelines and grid operations.
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Fuse Energy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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