Solution Features
Demo
Request a Demo SiL Simulator BattMan™ Assistant EVCare™ MVP EVCare™ Dashboard 2.0 Future Focused Capabilities
Modules
All Modules FleetAccess RX™ FitStar™ LPM™ AMS™ ESC™ WMS™ TVAL™ SPECRX™
Resources
Resource Hub Case Study Pricing Why EVCare™ Technology FAQ ROI Calculator Integrations How We Model Outcomes Security & Trust Battery Health 101 Animatics Library More Explainers on YouTube Regulatory Landscape Market News Company Insights Careers Validation & Credentials Investor Portal Request a Meeting
Illustrative Scenario · Modeled Outcomes

Your agency could be the
next case study.

EVCare™ is in advanced pilot discussions with leading North American transit agencies. The scenario below is illustrative and modeled — it shows how a deployment is designed to unfold and the targets EVCare™ is built to hit. It is not a record of a completed customer deployment.

Modeled targets — not yet field-verified

~15%
Battery Life Extension
−30%
Unplanned Downtime
<8mo
Projected ROI Payback
<3wk
Deployment Time

What a Pilot Looks Like

EVCare™ deploys on your existing telematics — no new hardware.

EVCare™ connects to an agency's existing telematics and BMS data streams — no hardware installation, no operational disruption. A typical pilot is structured in three phases.

📡
Week 1–2: Onboarding

Telematics integration configured for mixed-OEM BMS data streams. 47 electrochemical parameters mapped per vehicle. Baseline FitStar™ scores established.

📊
Week 3–8: Intelligence

FleetAccess RX™ dashboards live for operations and maintenance teams. First AMS™ maintenance prescriptions generated. FitStar™ scores used in daily dispatch decisions.

🎯
Week 9–13: Validation

AMS™ prescription outcomes validated against actual maintenance findings. LPM™ lifecycle forecasts reviewed with the fleet planning team. ROI model finalised against your data.

Illustrative Scenarios

The kinds of events EVCare™ is designed to catch.

The examples below are illustrative of EVCare™'s intended capabilities — they are modeled scenarios, not records of real events.

Critical Alert
Thermal anomaly detection

CareStar™ is designed to detect a module temperature rise well above the fleet average and trigger an AMS™ prescription to return the bus to depot — surfacing early thermal-runaway indicators before the bus completes its route cycle.

Proactive Action
Pre-pullout SoC intervention

FitStar™ is designed to flag a bus below the SoC threshold for a given block during morning dispatch planning, so it can be reassigned to a shorter route before pullout — preventing a mid-route service disruption.

Predictive Maintenance
Early BMS degradation warning

LPM™ is designed to identify accelerating degradation patterns consistent with BMS component failure, so maintenance can be scheduled before a cascade failure that would otherwise sideline the bus for several service-days.

Start Your Pilot

Be the case study we publish next.

Start a pilot and we'll model projected outcomes against your specific fleet before you commit. When the results are in, your fleet could anchor our first named case study.

Start a Pilot → Calculate Your ROI
EVCare™ · MVP Stage

EVCare™ is at MVP stage today, and we’re transparent about it: the current platform delivers the core battery-health intelligence, while additional modules and capabilities will be introduced and integrated across 2027 and 2028 as we scale.