Funding
Funding not disclosed
Founders
Product
Problem
Edge and off‑grid installations often rely on conventional battery systems that suffer from slow charging, limited lifespan, and high carbon footprints, restricting the deployment of reliable power for remote IoT applications such as precision agriculture and environmental monitoring.
Solution
Intellicreate’s EdgeStoreAI platform combines a quantum‑based energy storage simulation framework with AI‑driven predictive control to create self‑optimising power systems for edge environments. The quantum models capture phenomena such as superabsorption, coherence, and entangled energy states, enabling more accurate forecasts of battery behavior. AI algorithms use these forecasts to orchestrate charging cycles, balance loads, and extend battery life autonomously. The result is faster charging, longer battery lifecycles, and lower‑carbon energy delivery for remote infrastructure, supporting the UK’s net‑zero objectives.
Target Audience
Primary customers are operators of remote IoT infrastructure, including precision agriculture firms and environmental monitoring networks, that require reliable, low‑carbon power solutions for edge and off‑grid sites.
Features
- Hybrid quantum‑classical software that simulates advanced quantum energy storage effects for battery modeling
- AI‑orchestrated predictive control that optimises charging schedules and load management in real time
- Autonomous energy optimisation for edge and off‑grid IoT deployments without manual intervention
- Integration focus on low‑carbon, resilient power supply for precision agriculture and environmental monitoring
- Scalable framework designed to adapt to various battery chemistries and edge hardware configurations