Custom Real-World AI Data, Managed and Delivered.
We handle end-to-end collection of structured data for embodied AI, robotics research, and industry—fast, compliant, and scalable.
How it works
From your specs to clean, API-ready datasets.
Share your requirements
Share your requirements: 3D or image datasets, video capture specs, annotation needs, or custom protocols. We turn them into defined collection workflows and delivery formats.
We run collection and quality control
Our trained network executes capture to your specifications. We validate, deduplicate, and clean data before delivery.
Deliver clean datasets via API
Receive standardized, compliant datasets with metadata and provenance. Access via API or bulk export—ready for training and evaluation.
Industries we serve
- Robotics & embodied AI: 3D object and scene datasets, manipulation primitives, real-world environment capture
- Agriculture: Field imagery for crop health, pest and disease detection, multispectral or standard video
- Retail & CPG: Planogram compliance, in-store execution, and shelf-level imagery for analytics
Why work with us
- Quality control
Validation against your specs, blur/duplicate checks, and structured metadata at capture time.
- Legal compliance
PII removal, consent tracking, region-aware collection, and audit-ready provenance.
- Global diversity
Contributors across regions and environments so your models see varied, representative data.
- Cost savings
One managed pipeline instead of building and maintaining in-house collection and QC teams.
Request a quote
Describe your data requirements and we’ll respond with a scoped proposal.
Join our network
Join our vetted data-collection network. Contributors complete structured capture tasks—imagery, video, environmental data—using our protocols. We handle training, quality review, and payment.
About COMOX AI
We build the infrastructure that turns real-world environments into training-ready data for embodied AI and robotics. Our team combines expertise in data pipelines, quality systems, and compliance so that enterprises and research labs can scale collection without scaling operational risk. We believe the next generation of AI depends on high-quality, structured data from the physical world—collected responsibly and delivered reliably.