Founded in 2016, Unidata provides end-to-end AI training data solutions spanning collection, expert annotation, robotics training, LLM training, and AI model testing, as well as ready-made datasets for robotics, biometrics, smart cities, and language applications.
Primary use case: Providing training, validation, and evaluation data for AI models, generative AI systems, robotics, foundation models, LLMs, and biometric applications.
Locomotion
unknown
Hand Type
unknown
Autonomy Level
unknown
AI Capabilities
Computer vision, Egocentric action recognition, Hand activity recognition, Hand-object interaction, Face recognition, Biometric verification, Anti-spoofing, Robot learning and manipulation, LLM training and evaluation, AI model stress testing
Availability
Datasets are available for immediate use with zero setup; custom services are available by consultation.
Primary Use Case
Providing training, validation, and evaluation data for AI models, generative AI systems, robotics, foundation models, LLMs, and biometric applications.
The initiative offers more than 100 robots and 10,000 free evaluation hours, while initial G1 tests reveal how far robot policies remain from reliably completing tasks.
NVIDIA Releases New Physical AI Models as Global Partners Unveil Next-Generation Robots
Manual entity-ingest supporting URL (2026-10-24)