Onsite renewable energy systems with IoT monitoring and battery optimization
Wattstor designs and operates behind-the-meter renewable energy installations, pairing Python + TypeScript backend services (FastAPI, PostgreSQL, InfluxDB) with distributed IoT monitoring (AWS IoT Greengrass, Modbus, OCPP). The stack emphasizes real-time sensor data ingestion and control—Timestream for time-series analytics, RabbitMQ for event routing—which aligns with their active projects around battery optimization and hardware-software integration. Engineering-focused hiring (5 roles, all technical) suggests they're scaling product depth rather than sales footprint.
Wattstor provides end-to-end onsite renewable energy systems for commercial and industrial customers in the UK. The company designs, builds, finances, and operates installations—solar arrays, battery storage, EV charging, microgrids—and retains operating rights, meaning customers purchase the electricity generated at below-grid rates while Wattstor captures margin through optimized system performance. Core competencies span compliance roadmap development, cybersecurity, battery inverter prototyping, and an emerging energy trading platform. The business model requires tight hardware-software integration and continuous optimization to manage supplier certification, regulatory changes, and technical debt.
Backend: Python, FastAPI, PostgreSQL, InfluxDB. Frontend: React, TypeScript. Cloud/IoT: AWS (ECS, Lambda, IoT Core, IoT Greengrass, DynamoDB, Timestream). Monitoring: Grafana, CloudWatch. Protocols: Modbus, OCPP, RS485.
Wattstor designs, builds, finances, and operates onsite renewable energy systems (solar, battery storage, EV charging, microgrids) for commercial customers. Customers buy the generated electricity at below-grid rates; Wattstor retains operating rights and optimizes system performance for long-term returns.
Wattstor'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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.