Our AI algorithms analyse sensor and operational data from your assets in real time to predict potential failures before they occur. This allows you to proactively schedule maintenance, reduce unplanned downtime, and extend the life of critical components.
We enable intelligent EV fleet optimisation through battery analytics and predictive thermal preconditioning. By managing battery temperature before operation or charging, we help reduce charging times, improve range consistency, and maximize energy efficiency, particularly vital for shared, urban, or last-mile mobility use cases.
Edge AI means that our predictive algorithms run locally on embedded devices-close to where the data is generated, rather than relying on constant cloud connectivity. This reduces latency, ensures faster decision-making, and works even in low-connectivity environments like industrial sites or remote fleet depots.
We support a wide array of assets, including manufacturing equipment, automotive systems, and industrial machinery. Our solutions are tailored to your specific asset types and operational needs.
Reach out to us for a free consultation. We’ll assess your systems, understand your goals, and propose a customised AI-driven solution - whether for predictive maintenance, EV fleet optimisation, or both.
Yes, our solutions are designed to integrate seamlessly with existing systems. We ensure a smooth transition with minimal disruption to your operations.
By combining predictive maintenance with EV optimisation, we help mobility operators and cities reduce vehicle downtime, energy waste, and carbon emissions, enabling more reliable, scalable, and greener transportation systems.
Our pricing is based on the project's scope and the specific solutions required. Contact us for a detailed quote.