Felindra gives logistics operators real-time demand prediction, grid-cost optimisation, and predictive hardware maintenance — built specifically for high-volume EV fleets.
87% of logistics companies plan to electrify within 5 years. Not one of their existing fleet management systems was designed for what's coming.
When 40 trucks return to a depot simultaneously, uncoordinated charging triggers demand peaks that can cost operators ₹8–15L in a single billing cycle.
EV chargers degrade invisibly. A failed unit discovered at 04:00 means vehicles leave under-charged — and logistics SLAs collapse before dawn.
Without accurate return-time modelling, depots pre-charge in bulk hours early — burning peak-rate electricity on vehicles that won't move for six hours.
Felindra sits between your telematics data, your charger hardware, and your energy provider — turning raw signals into decisions your operations team can actually act on.
Using historical fleet patterns, route telemetry, and real-time location data, Felindra predicts when each vehicle will return and how much charge it will need — up to 6 hours in advance.
Felindra reads your discom's time-of-use tariff schedule and sequences vehicle charging to maximise off-peak consumption — cutting demand charges without delaying dispatch.
Felindra tracks connector temperature, session failure patterns, output voltage drift, and charge ramp anomalies to flag hardware degradation before it becomes a breakdown.
ML models trained on your specific fleet's route behaviour — accounting for traffic, load weight, driver patterns, and seasonal variance — to produce depot-ready ETAs for each vehicle.
Felindra plugs into your existing fleet telematics and charger network — no hardware replacement required.
API integrations with leading telematics providers (Fleetx, Trakzee, Loconav) and OCPP-compatible chargers go live in under 48 hours.
Felindra ingests GPS, state-of-charge, route history, and energy tariff data. Fleet-specific ML models begin training from day one.
The platform surfaces a daily charge schedule, prioritised maintenance queue, and cost forecast — updated continuously as conditions change.
Operators see cost savings, prediction accuracy, and uptime metrics in a live depot dashboard. Models self-improve with each dispatch cycle.
The EV fleet management software market is growing at 22.7% CAGR. Every logistics operator electrifying their fleet will need what Felindra builds. Today, none have it.
Join the waitlistConversations with logistics operators across India have confirmed a gap no existing tool fills.
Our chargers are black boxes. We find out something's wrong when the truck doesn't leave on time.
We're paying peak-rate electricity bills we don't understand. Nobody has a tool to model this for us.
The moment I can tell each truck when to charge, I cut my depot's peak demand charge in half. That's real money.
Founder & CEO, Felindra
Ashwar Gupta founded Felindra after spending years watching India's logistics sector pour capital into EVs while the operational software layer remained stuck in a diesel-era mindset. The question wasn't whether fleets would electrify — it was who would build the intelligence layer that made it actually work.
With a background spanning energy systems, data engineering, and fleet operations, Ashwar brings a rare combination of technical depth and operational instinct to a problem that has stumped incumbents for the simple reason that they never started from the depot floor upward.
Felindra is Ashwar's conviction that the critical infrastructure of India's electrification transition isn't the chargers themselves — it's the software layer that makes them intelligent.
We're onboarding our first 10 fleet operators in Q3 2025. Founding customers get 6 months free and permanent input into the product roadmap.
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