The Intelligence Layer for EV Charging & Electrification
One API for accurate energy predictions, smarter charging routes, and electrification planning. Built for drivers, fleets, and mobility platforms.
95%
More accurate SoC prediction vs. map-based estimates
120+
Vehicle models supported
14M
km of EV routes optimized
Built for Every Layer of the EV Ecosystem
One platform. Five stakeholder outcomes.
Confident journeys, every time.
- Personalized charging routes based on your vehicle, driving style, and real-time conditions.
- Know your exact arrival SoC — not a guess.
- Smart station selection: speed, cost, availability — not just proximity.
→ Reduced range anxiety. Higher trip confidence.
Products. One Intelligence Platform.
Each product works standalone or together — accessible via API.
FOR DRIVERS · APPS · E-MSPS
EV Route Intelligence
- Real-time SoC prediction at every stop
- Charging-aware routing with AC/DC curve modeling
- Multi-stop optimization with time & energy constraints
- Vehicle-specific profiles (120+ models)
FOR FLEETS · OEMS · CONSULTANCIES
Electrification Twin
- ICE to EV transition simulation
- Charging infrastructure assessment
- Operational cost & risk modeling
- Multi-scenario comparison
FOR DISTRIBUTORS
Capaciated Distribution Intelligence
- Optimize your distribution routes by areas and time windows
- Manage drivers and deliveries with real-time ETAs
- Track your drivers via GPS and get notified about deviations
Real-World Energy Intelligence
Most EV routing tools estimate. Rotamat calculates.
Others
Flat map distance
Nearest charger
Generic range estimate
Rotamat
Elevation + Weather + Physics
Optimal charging decision
Precise SoC curve per stop
Topography & Elevation
Energy cost of hills, not just distance
Weather Conditions
Wind, temperature, rain impact
Speed Profiles
Highway vs. city energy differences
Driving Behavior
Aggressive vs. eco patterns
Payload & Passengers
Weight-adjusted consumption
Vehicle-Specific Physics
Real vehicle data, not generic
Charging Curves
Actual AC/DC curves, not linear
Real-Time Constraints
Availability, queues, connectors
The difference between “you might make it” and “you will arrive at 23%.”
See Rotamat in Action
Real scenarios. Real outcomes.
EV DRIVER
The Long-Distance Trip
500 km weekend trip, winter, 2-year-old EV.
Rotamat calculates real consumption for cold weather, highway, elevation. Suggests two optimal stops.
Arrived with 18% battery. Exactly as predicted.
E-MSP PRODUCT TEAM
The App Upgrade
200K users, declining engagement. Static charger map.
Integrated Rotamat API. Replaced static map with intelligent routing.
Session completion up 34%. MAUs up 22%.
CPO NETWORK OPERATOR
The Revenue Play
500 stations. 40% underutilized. High-traffic congestion.
Charging Intelligence steers drivers to underutilized stations via dynamic routing.
Utilization spread improved 28%. Revenue per station up 19%.
FLEET MANAGER
The Electrification Decision
200 vehicles. Board wants 30% EV by 2027.
Electrification Twin simulates all routes. Identifies 47 EV-feasible vehicles today.
Avoided €2.1M in wrong investment. 47 EVs deployed on schedule.
Measurable Impact Across the EV Value Chain
35%
Increase in charging session rates
CPOs
23%
Reduction in range anxiety incidents
Drivers
4×
Faster fleet electrification decisions
Fleets
<5%
SoC prediction error
All
60%
Less infrastructure over-investment
Fleets
2×
Higher in-app engagement
e-MSPs
Metrics based on pilot deployments and simulation benchmarks. Results vary by deployment.
Built on a Decade of Operational Intelligence
Rotamat's EV platform is powered by years of real-world logistics experience.
Route Optimization
Proven algorithms across millions of routes.
GPS Tracking & Telematics
Real-time fleet visibility and data.
Operational Simulation
Digital twin technology in live deployments.
Everything we've built for logistics, now purpose-built for electrification.
Meet the Team
The people building the intelligence layer for EV mobility.
Mehmet Atakan Hamamcıoğlu
Founder & CEO
Industrial Engineer and entrepreneur focused on logistics optimization, route intelligence, and sustainable mobility. Mehmet leads Rotamat's product vision and business development, building digital twin and optimization solutions for fleet operations and electrification.
LinkedIn
LinkedInMihail Duşçu, PhD
Co-Founder & Optimization Algorithms Lead
PhD researcher specialized in network optimization and advanced algorithms. Mihail leads the development of Rotamat's optimization engines, focusing on routing intelligence, mathematical modeling, and scalable decision-support algorithms.
LinkedInVehbi Onur İltan
Full Stack Software Engineer
Computer scientist and full stack developer responsible for software architecture and product development across Rotamat's platform. Onur works on building scalable, user-centric products from optimization interfaces to cloud-based infrastructure.
LinkedIn