Building the data layer for embodied automation.
Annotyx AI operates the collection, annotation, validation, and delivery infrastructure required by computer vision, multimodal AI, Vision-Language-Action models, and robotic systems.
End-to-End Operating Model
Annotyx AI manages the complete data lifecycle—from requirements and capture planning to versioned, training-ready delivery.
We support customer-supplied data, new real-world collection programs, human demonstrations, custom ontologies, contributor operations, privacy and quality review, synchronized multimodal processing, and structured exports—from focused pilots to high-volume programs.
Operating Principles
Infrastructure for demanding data programs.
Our operating principles guide how we work with customers and contributors, design collection programs, control quality, and deliver versioned data products.
Our Mission
Build the trusted data infrastructure that enables AI and robotics systems to learn from high-quality, project-specific human and physical-world data.
Controlled & Real-World Environments
Collection programs combine controlled studios, operational workspaces, homes, kitchens, warehouses, and industrial settings according to the model objective and required variation.
Consent, Privacy & Quality
Consent records, usage-rights documentation, privacy review, human QA, validation logs, and release controls are integrated into the dataset lifecycle.
Scalable Data Operations
Our contributor network, collection protocols, annotation platform, and quality systems support project-specific programs across task families, environments, regions, and production volumes.
Building a computer vision, robotics, or multimodal model?
Commission a project-specific collection program or move existing source data through our annotation, validation, and structured-delivery platform.