Analytics & Tracking Implementation for Automotive

Consent is now a design input rather than a banner. Under DPDP expectations, how you collect and store behavioural data matters, and retrofitting it is harder than building it in.

In automotive, tier-one supply chains demand traceability on every part and every process. That single fact reshapes how analytics & tracking implementation has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is visual quality inspection, usually integrated against telematics platforms. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.