Intrinsic Power develops infrastructure management solutions for electric vehicle charging. Their machine learning algorithms optimize real-time power delivery, enabling higher charger throughput without costly infrastructure upgrades. This optimization reduces EV charging costs significantly compared to standard smart charging methods.
Funding
Funding not disclosed
PAFounders
Product
Problem
Electric vehicle (EV) charging infrastructure often faces limitations in power delivery, resulting in reduced charging speeds and increased costs. Traditional smart charging methods may not fully optimize power distribution, leading to inefficiencies and the need for expensive infrastructure upgrades to support higher charging demands.
Solution
Intrinsic Power offers a real-time energy management system that leverages machine learning algorithms to optimize power delivery for EV charging. This technology dynamically manages existing infrastructure, enabling more chargers to operate at higher power levels simultaneously. By intelligently distributing power based on real-time demand and grid capacity, Intrinsic Power reduces EV charging costs by 40% compared to traditional smart charging methods. The system achieves these savings without requiring costly and disruptive infrastructure upgrades, making it a scalable and cost-effective solution for building managers and EV charging operators.
Target Audience
The primary target audience includes building managers and EV charging operators seeking to optimize power delivery, reduce charging costs, and maximize the utilization of their existing EV charging infrastructure.
Features
- Real-time power optimization using machine learning algorithms
- Dynamic adjustment of power delivery based on EV charging demand and grid capacity
- Compatibility with existing EV charging infrastructure
- Reduction of EV charging costs by 40% compared to traditional smart charging
- Scalable solution for managing multiple EV chargers
- Cloud-based monitoring and control interface