Automotive software development and automotive AI

Automotive software development for the business side

Automotive software usually means code in the car. That is not what we build. We do not build in-vehicle or embedded software. We build the software that runs the company around the car: purchasing, supplier data, ERP feeds, dealer operations and service workflows. That is where manual work piles up, and where a small team can ship a change in weeks instead of a model year.

Automotive procurement automation

Automotive procurement moves large volumes of supplier, part and pricing data into ERP and purchasing systems. Before it can be loaded, someone often has to reformat files, check fields and fix mismatches by hand. Those pre-tasks become the bottleneck and the main source of errors.

For a US enterprise automaker, we built serverless automations and data pipelines on AWS that sit in front of SAP and Coupa and take over that preparation and validation work, so data reaches the ERP and procurement systems without the manual pre-tasks. The engagement ran for two months, July to August 2026, and was part of a company-wide programme targeting USD 50M a year in savings. That figure is the client's programme target, not a result we claim.

Automotive AI: where it helps outside the vehicle

Automotive AI is not only driver assistance. On the business side, its most practical use is reading: supplier quotes and contracts, invoices, warranty claims, service notes and parts catalogues. A model can extract the fields that matter, classify a warranty claim, compare a quote against agreed prices or summarise a repair history for a service advisor. We pair it with rules for anything fixed, such as approval limits and part number formats, and send uncertain cases to a person. Models run in your own cloud account.

Automotive software solutions for dealers and service teams

How we would build it. Dealer groups and service networks run on a dealer management system plus a layer of spreadsheets and email. We would start with one workflow from that layer: routing online leads to the right branch, preparing warranty claims with the documents the manufacturer asks for, or turning service notes into a clear summary for the customer. Each tool connects to your dealer management system through its API or exports and leaves it unchanged.

• Asset-management platform for an Australian vehicle auction company

  Apex36 worked in a ten-person team on the platform: CQRS microservices with a Next.js app and Angular micro-frontends, on MSSQL, GraphQL and Kafka in Azure. The platform is live in production.

Working with an automotive software development company

Enterprise automotive teams need a vendor that fits their security and change processes. We work inside your cloud account, follow your access rules and review steps, and keep changes small and reversible. You see a demo and a written changelog every week, and at handover you get a runbook your team can operate. For the automaker engagement this meant delivering the automations in two months alongside its existing systems.

What automotive software costs

A first automated workflow, such as data preparation and validation ahead of one ERP feed, starts from $5,000. Automotive AI work, such as document extraction or warranty claim classification, starts from $8,000. More systems, higher volumes and enterprise review steps move the price up. Cloud and model costs are billed to your own accounts. See pricing.