Automotive

Automotive is being rebuilt in real time. EV programs compress launch timelines and put battery quality at the center of everything. Connected vehicles stream terabytes of telemetry that most OEMs still cannot turn into engineering decisions. Autonomous programs generate sensor data nobody can label fast enough, and dealer networks still run on spreadsheets and phone calls. The data to run it all better already exists, it is just trapped in the MES, the telematics platform, the DMS, and the warranty system, none of which talk to each other.

We connect the lifecycle. Vision models inspect battery packs, welds, and paint on the line and hold quality to IATF 16949 discipline, catching escapes before they become field failures. Connected-car telemetry becomes predictive maintenance, warranty insight, and early recall signals your engineers see before NHTSA field reports do. Autonomous and ADAS teams get data pipelines that label, curate, and search sensor logs at scale, so validation engineers find the edge cases instead of scrolling past them. And dealers get copilots that qualify leads, quote accurately, and keep service bays full, working on live inventory and service history rather than yesterday’s export.

It runs on infrastructure you own, homologation-aware and audit-ready, built for a sector where FMVSS compliance, supplier PPAP evidence, UNECE WP.29 cybersecurity requirements, and recall traceability are not optional. Every inspection, prediction, and decision is logged with full lineage, so quality and regulatory teams can defend the record to an auditor or to NHTSA without reconstructing it after the fact. And because every workflow shares one core, the quality system you ship first makes the telemetry, warranty, and dealer systems that follow faster to build.