RiDERgy maximizes synergies between renewable energies and e-mobility via a software powered by an AI algorithm, power and mobility data and APIs to steer EV fleet charging & discharging.
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The product consists in a b2b software optimizing for the lowest charging costs for electric fleets using machine learning, data and REST APIs, interoperable protocols like OCPP and ISO15118 to steer the charging process. This is achieved by tapping into all the value streams of the electricity system while understanding all the mobility use cases’ parameters via GPS, battery SOC, driving behaviors and charging infrastructure (how many charging points, how much power per charging point, how much overall power per connection point). A good API documentation (as good as Stripe’s) achieves flexibility. The solution is for private and public charging.
Zielgruppe
To start with our customers consist in fleet operating companies like last mile delivery companies with existing electric vans in Germany. We will expand to big company fleets, city fleets, public transport, ride-sharing companies in any country as long as there are value streams to be extracted by the country's electricity market by steering charging in time.
Herausforderungen
The next steps consist in getting some funding to get to MVP, then raise more funds to scale the customer base for private logistics fleets, deepen the electricity market revenue streams, then expand to other sectors and finally address public charging.
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