Where our work lands.

Work spans finished-vehicle logistics, leasing and rental operations, and fleet platforms. Typical engagements involve applied computer vision (vehicle imagery, damage detection, condition assessment), workflow software for operators, and the backend infrastructure that ties depots, gates and field teams together.

Operating environments are demanding — high transaction volume, distributed sites, and a low tolerance for downtime during business hours.

We build software and ML systems that compress the time and cost of high-volume, document-heavy processes — claims intake, evidence assessment, structured data extraction from unstructured submissions. Typical projects pair applied ML with workflow tooling for human reviewers.

Regulatory and audit considerations sit alongside engineering work, not after it.

For B2B software companies we provide sustained engineering capacity — backend services, frontend builds, mobile apps, and the integration surface that enterprise customers expect. Engagements are typically multi-quarter retainers, where the priority is throughput and quality, not staff augmentation.

Computer vision and software for industrial operations — quality inspection, asset tracking, process monitoring. Often involves on-site hardware integration, edge inference, and the workflow software around it.

We work alongside the client's domain specialists; we bring engineering, they bring the physics.