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Efficient EV Fleet Energy Management

Fleet Electrification Presents New Challenges

AI-powered energy management for electric vehicle fleets. Cut charging costs, maximize renewables, optimize uptime.

Live energy flow

One depot, one day, every asset on the connection

12:00 Time of day
Solar 55.4 kW
Grid 38.3 kW
Battery 17.1 kW
Depot 60 kW Site limit
Building 4.7 kW
Chargers 71.9 kW
Site power
Spot price

The inputs behind every decision above. The battery fills while power is cheap, solar carries the middle of the day, and at the evening peak the vehicles feed the depot instead of drawing from it.

  • Grid
  • Solar
  • Building
  • Chargers
  • Battery
  • Vehicles exporting

A 60 kW grid connection running 12 charge points. Solar and the battery cover what the connection cannot, the chargers take whatever headroom is left, and the site never exceeds its limit. See how the product does it

Why RiDERgy?

Learn About Our Unique Solution

We lead in advanced energy management, providing you with a solution to optimize your EV fleet charging. We deal with constrained power availability and minimize costs.

Reduce charging costs up to 70%

Our predictive algorithms optimize dynamic and time-of-use tariffs to charge vehicles when electricity costs are at their lowest. Combine this with solar energy generation and stand-alone batteries on-site to save up to 70% on charging costs, all using a single software solution.

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Maximize renewable energy use

Electricity prices fluctuate due to a changing energy profile. High green energy generation results in low prices due to surplus supply. By charging at these times, you are powering your EV fleet with green energy and helping to decarbonize the energy sector.

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Hardware agnostic and cloud first

We can integrate our all-in-one energy management solution into your existing systems via API. We're software experts, cloud-based, and minimize the use of new hardware, reducing fleet costs.

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Maximize vehicle availability

By optimizing the charging schedule using your vehicle fleet's mobility data and expected usage, we can charge your vehicles to the exact amount required, ensuring that your EV fleet is ready to go when needed the most.

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Power management

Every charger as fast as the connection allows. Never faster.

Power management shares your site's grid connection across all active chargers, uses your own solar first and keeps total draw under the limit, with nobody watching.

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FAQ

Frequently Asked Questions

More Questions ›

Why do I need advanced energy management?

Smaller EV fleets usually require basic load management. However, as the fleet size increases and the strain on the local grid grows, more advanced energy management solutions that leverage mobility data are required. Using our predictive energy management software, we optimize all components of your energy system in real-time, ensuring maximum accuracy, minimized blackout risks, and lower costs.

What does RiDERgy optimize?

We optimize dynamic tariffs, building load, solar, and stand-alone batteries, providing a complete energy management solution for EV fleets. Furthermore, we use mobility data to regulate charging and extend battery lifetime, reducing the TCO of your new EV vehicles.

How does RiDERgy optimize my energy systems?

We use AI-powered optimization algorithms to predict the perfect charging schedule and energy usage patterns of your facility. By integrating mobility data and using APIs, we seamlessly connect to all your existing systems via the cloud, with no new hardware required.

What are dynamic tariffs and how can they help me save?

Dynamic tariffs change regularly throughout the day based on the price of the day-ahead electricity markets. By using mobility data with our energy management software, we schedule vehicle charging when dynamic tariff prices are lowest, resulting in even greater savings potential.

What if I don't have an EV fleet?

Our electrification configurator analyzes existing fleet data, including mobility data, to create electrification scenarios using currently available EVs, providing you with detailed information on the costs, savings, and environmental benefits of your new EV fleet. You then decide if an EV fleet is worth the investment for your company!

News

RiDERgy selected for WECONOMY 2026/27

RiDERgy is one of ten startups chosen for the 20th WECONOMY programme by Wissensfabrik, UnternehmerTUM and Handelsblatt. A year of working sessions with C-levels of established German industry companies on sales, partnering and scaling starts now.

RiDERgy at the BRICS Cross Border Innovation Accelerator in Xiamen

Claudio Geyken took part in the Plug and Play China programme in Xiamen, the BRICS Cross Border Innovation Accelerator (21 to 30 May 2026), and came back with one conviction: anyone in energy or mobility needs to understand China.

RiDERgy pitches at the Charging Night in Munich

Claudio Geyken presented RiDERgy on the Startup Open Mic stage at the Charging Night, hosted by UnternehmerTUM Mobility: cloud and MCP based energy, charging and routing management for electric fleets.

RiDERgy working with Luxinnovation to test our product

Luxembourg serves as the perfect testing ground for our EMS. We are working with Luxinnovation and Fit4Start to incorporate our software into Luxembourg-based fleets.

RiDERgy joins the Smart Mobility Accelerator

RiDERgy has been selected to join the Smart Mobility Accelerator, backed by Drive TLV, mobilityXlab, STARTUP AUTOBAHN powered by Plug and Play, and EIT Urban Mobility.

RiDERgy Part of TotalEnergies On Accelerator

We're proud to have participated in the prestigious TotalEnergies On Batch #4 accelerator, where we'll be working with TotalEnergies to optimize their EV fleet and progress the energy transition in the EU.

2024 AI Campus Founders Cohort

AI Campus Founders is an acclerator programme funded by Dieter Schwarz of Schwarz Group. We're proud to be working with Campus Founders to further refine our optimisation algorithms and support Schwarz Group with their electrification.

See it on your fleet.

A 30-minute demo with our energy team.

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