One source of truth across engineering, aftersales, warranty, and compliance teams.
Real-world battery behaviour varies by climate, charging, and driving patterns. Range and durability promises are tested in customer usage patterns, and warranty exposure grows when degradation is misestimated.
As transparency requirements rise, OEM teams need SOC, SOH, and RUL calculation methods they can explain and defend.
Battery ageing shifts by use case, climate, charging patterns, and driving conditions.
Pack-level KPIs can mask early cell and module issues until they escalate.
Degradation trends differ across cohorts, making replacement timing harder to forecast.
Traceability and lifecycle disclosure expectations are rising across markets.
Datakrew delivers real-world SoH forecasts, range, cell-level risks, and RUL predictions for cohort-level planning. The forecasts are tied to 120+ parameters assessed every 10 seconds across temperature, voltage, current at cell level, charging behaviour, driving patterns, depth of discharge, and more. This enables Datakrew to deliver insights across various vehicle operational metrics and comparative analysis across cohorts, models and brands with up to 98% accuracy.
This supports calibration and product decisions, targeted service actions, warranty provisioning and parts readiness, and traceability expectations.
compatible OEMs
vehicle models
prediction accuracy
parameters captured every 10 seconds

Datakrew solutions are plug-and-play across 35+ OEMs and 100+ vehicle models.
Explainable, field-grounded outputs for high-stakes decisions.





Defensible SOH predictions based on climate of operations, driving and charging patterns, usage trends and more for accurate vehicle health and EoL predictions.
Where we connect, what we add, and what you get.
Clear ownership functions across engineering, aftersales, warranty, and compliance.
Degradation insights for calibration, design decisions, and range KPI refinement.
Early warning triage and targeted actions to reduce diagnostic ambiguity.
Defensible SOH and RUL decisions, plus cohort forecasting for reserves and spares.
Traceability readiness for lifecycle disclosure and circularity decisions.
Identify the questions to be answered and KPIs to be measured.
Install ITUS Max and start analysing vehicle data.
Extend coverage across vehicle models, markets and type to standardise R&D, warranty, aftersales and financing decisions.



Keeping EV taxi fleets available, efficient, and ready for every ride.
High waiting times, early warranty expiry, and untimely breakdowns were hurting customer experience and fleet performance. Datakrew implemented EV-friendly demand matching and early fault predictions across 200+ EV cars using real-time SOC, charging proximity, and driving behaviour insights to improve availability, reduce maintenance burden, and support safer operations.
Multi Information Display (MIDs) show raw figures but lack the context of usage patterns that Datakrew provides. It cannot deliver fleet-wide performance tracking, does not support predictive maintenance and monitoring, and is not designed to work across multiple battery management systems, powertrains and brands.
Please reach out to us here or contact abhishek@datakrew.com
Partner with Datakrew to transform your operations. Fleet management, EV battery intelligence, AI-enabled solutions, all through one intelligent deployment.
Smarter. Safer. Sustainable.