Real-time battery health monitoring and predictive charge scheduling for electric vehicle fleets across Africa and Southeast Asia. Know which pack fails next — before it does.
Fleets in Lagos, Nairobi, and Jakarta don't have the grid stability of London. Stima was designed for that.
State-of-charge, temperature, and cycle count streamed from each pack via CAN bus or OBD-II dongle. Data arrives every 30 seconds even on 2G networks.
ML models trained on 18,000+ discharge cycles flag packs that are trending toward failure 7–14 days in advance, giving your team time to swap before a vehicle goes offline.
The dispatch engine factors current charge level, route distance, and station availability to assign each vehicle the optimal charge stop — reducing idle time at the charger by an average of 23 minutes per shift.
A single screen shows every vehicle's battery status, last charge event, and predicted next maintenance date. Exportable as CSV or via REST API to your existing fleet management tool.
Temperature spikes above configurable thresholds trigger instant SMS and in-app alerts to the driver and dispatch. Three consecutive thermal events in 24 hours flag that pack for inspection.
Stima's edge module caches up to 72 hours of telemetry locally. When connectivity returns, data syncs automatically. No lost readings from patchy rural coverage.
Stima's OBD-II dongle clips onto any EV's diagnostics port. No wiring harness, no mechanic required.
Add vehicles by VIN or scan the QR code on the dongle. The dashboard populates battery baselines within 2 hours of first drive.
Choose when to be notified — state of charge below 20%, temperature above 45°C, or degradation score dropping below 80%.
Every morning, the charge routing plan is ready in the dispatch view. Your team knows which vehicles are ready and which need attention.
Stima started when our founder spent six months embedded with a motorcycle taxi cooperative in Nairobi. Every week, one or two e-bikes went offline because a battery pack failed without warning. The cooperative had no visibility into which pack would go next.
We built Stima to solve that specific problem — and discovered that the same blind spot exists in EV fleets across 13 African countries. Renew Capital backed the vision with a €2.2M seed round in 2025.
Our Story
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