Case Study: Scout AI accelerates autonomy training and annotation with Nominal

Scout AI - Customer Case Study

Scout AI, a fast-moving autonomy startup developing robots for the US military, faced a bottleneck in processing and annotating the enormous amounts of data generated from field tests of its autonomous systems. Their challenge was to find an efficient and scalable way to review this data to quickly retrain their AI models without slowing down their rapid development cycles. They partnered with Nominal to use its cloud platform for data management.

Nominal’s platform enabled live audio-transcribed annotations during tests, which were automatically synced with vehicle data. This solution dramatically increased annotation speed, captured richer context, and reduced post-test workloads for Scout AI. The result was a significantly compressed development cycle, allowing the company to rapidly retrain its AI and confidently scale its autonomous fleet. Nominal became the central source of truth for all training data across the organization.

Scout AI

Collin Otis

CTO & Co-Founder