Notes from the team on route intelligence, charging-aware operations, fleet electrification, and the systems behind them.
Featured
Introducing Charging Intelligence: From Passive Networks to Active Demand Management
How CPOs can increase station utilization with dynamic routing and demand shaping through our Charging Intelligence layer.
BlogWhy Map-Based Range Estimates Fail in Winter - And What Physics-Based Modeling Gets Right
Cold weather can reduce EV range sharply. We tested our physics engine against leading routing tools across winter journeys.
Latest
Inside Rotamat's SoC Prediction Engine
A look at the vehicle physics, topography data, and real-time weather inputs behind our energy consumption model.
Fleet Electrification: Transit vs. E-Transit Across Turkish Routes
We simulated real delivery routes to compare total cost of ownership across vehicle and charging strategies.
Electrification Twin Now Supports Multi-Scenario Comparison
Compare vehicle and charging strategy scenarios side by side with our latest simulation update.
Modeling AC vs. DC Charging Curves
Most routing tools assume linear charging. Real charging curves are non-linear and vehicle-specific.
Webrazzi: Rotamat on Stage at B-STAR Mobility
Rotamat is mentioned among the 11 startups presenting in the B-STAR Mobility Accelerator, with a PoC award for its EV route optimization platform.
How a CPO Can Turn Routing Intelligence Into Station Demand
A practical playbook for using EV journey intelligence to increase station visibility, utilization, and return on infrastructure.
Webrazzi: Rotamat Selected for KWORKS Connect
Rotamat is listed among the 21 startups selected for KWORKS Connect, connecting our EV intelligence platform with Koç University's entrepreneurship network.
İşbank: Rotamat Joins Workup4Future
Rotamat is featured in the second term of Workup4Future, İşbank's impact entrepreneurship accelerator focused on climate and sustainability.