[Funding alert] Paris-based Startup Guided Energy Secures $5.2 Million in Funding

When it comes to EV charging networks and the managers who oversee them, we've seen a lot of upstarts vie for supremacy, but the fleet management market hasn't seen as much activity.

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As the fossil fuel industry continues to shrink, it is becoming more and more evident that fleets must contribute to decarbonization initiatives. This is due to the enactment of more and more government incentives and laws favoring electric vehicles.

Moreover, despite all of its well-meaning, the issue is a fragmented environment. Interoperability has taken a backseat as a network of solutions offered by rivals and suppliers come together.

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Guided Energy co-founder and CEO Anant Kapoor further explains: “Fleets have been digitising their processes for the last two decades, but electrification has added new systems and new data that is incompatible with their existing operations. By breaking these silos, fleets have a unified view across their entire EV operations, allowing them to use upcoming routes or jobs to schedule charging and real-time EV data to plan their dispatch and more.”

Raft, Kapoor, and colleagues are reportedly investing a tonne of machine learning expertise into Guided Energy, leveraging their experience as head of product at vector.ai. The company claims that this is saving up to $10,000 per EV annually.

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Speaking to Guided Energy customer SIXT’s managing director Marc Aubrée, he offered:“The need to electrify our fleet means that branches have to adapt the way they work to EVs, particularly when it comes to recharging. Guided Energy will optimise our use of charging infrastructure both on-site and on the road, enabling us to maximize utilisation over the course of a day, while embedding external charging solutions directly into our operations.”

About Guided Energy

Fleets can use the guided energy platform to run and charge their electric cars. Fleet managers plan charging times, keep an eye on developments, and get notifications when something goes wrong, like a disruption in charging. Their software can directly regulate the power output of chargers and recommend the best charging sequences and task allocations to maximize fleet productivity.

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