Case Studies

A behavioral training dataset was developed for a leading autonomous driving system company by classifying 100,000 short driving clips based on specific vehicle actions in 4 weeks with 95% accuracy. Each 4-second clip was reviewed by licensed annotators to identify the primary event, enabling training data to be prepared for behavior prediction and reinforcement learning modules.

A behavioral training dataset was developed for a leading autonomous driving system company by classifying 100,000 short driving clips based on specific vehicle actions in 4 weeks with 95% accuracy. Each 4-second clip was reviewed by licensed annotators to identify the primary event, enabling training data to be prepared for behavior prediction and reinforcement learning modules.

We recently partnered with a leading AI lab to build a hybrid workflow that converts text prompts into production-ready React Next.js applications. Combining synthetic data generation with expert annotation produced high-quality, we validated training datasets and enabled delivery of 1-2 apps per expert per day.

A global technology company partnered with us to evaluate AI-generated code across 25 programming languages. Through structured RLHF workflows, nearly 300 tasks were completed in 3 weeks, delivering high-quality training data, faster iteration, and improved LLM reliability.