WattsUp provides an AI-driven predictive maintenance solution for electric vehicle chargers, utilizing machine learning for real-time monitoring and automated diagnostics. This technology reduces downtime and labor costs by ensuring timely part ordering and efficient resource allocation, addressing the issue of unexpected charger failures.
Funding
$150K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Electric vehicle (EV) charging infrastructure faces challenges with unexpected failures, leading to significant downtime and increased operational costs for charge point operators (CPOs). Reactive maintenance strategies result in delays, inefficient resource allocation, and cascading failures across charging networks.
Solution
WattsUp offers an AI-driven predictive maintenance platform for EV chargers, enabling CPOs to proactively address potential issues before they escalate into costly failures. The system leverages machine learning algorithms to analyze real-time data from EV chargers, identifying anomalies and predicting component failures. By integrating with parts ordering and labor scheduling systems, WattsUp automates the maintenance workflow, ensuring timely procurement of necessary components and efficient allocation of maintenance resources. This approach minimizes downtime, reduces labor costs, and optimizes the overall performance and reliability of EV charging infrastructure.
Target Audience
The primary target audience includes Charge Point Operators (CPOs) responsible for managing and maintaining EV charging infrastructure networks.
Features
- Real-time monitoring and anomaly detection using machine learning algorithms
- Predictive diagnostics to forecast potential component failures
- Automated part ordering integrated with critical component lists and ordering backends
- Automated labor scheduling that coordinates with component arrival and predicted failure dates
- Integrated alert and notification system for proactive issue management
- Reduction of cascading failures through early detection and intervention
- Non-biased health insights into EV chargers