We supply bias-controlled, fully labeled datasets that accelerate perception and generation for AI teams. Built for scale, delivered with measurable quality guarantees.
Native 3D annotations: instance, semantic, depth, normals, and keypoints.
Factories to streets to labs—configurable domains and assets.
Hundreds of thousands of frames per month via automated pipelines.
Subscriptions or scoped builds aligned to your KPIs.
We partner with model and product teams to define coverage, edge cases, and acceptance criteria—then deliver training‑ready datasets that measurably improve downstream metrics.
A focused, four‑stage pipeline with clear engagement options. Light motion and native 3D labels throughout.
Targets, KPIs, acceptance tests, and coverage distributions.
Clean 3D models with PBR, LODs, and domain controls.
Programmatic layout, physics‑aware interactions, lighting, motion.
RGB, depth, IR, events. Native instance/semantic, poses, depth.
Health reports, leakage checks, deterministic manifests, and versioned drops.
Recurring dataset updates for predictable velocity.
Scope aligned to your acceptance criteria and milestones.
We focus on B2B partnerships with teams shipping real systems.
Large 3D corpora and paired text for pretraining and evaluation.
Manipulation, navigation, grasping, and spatial understanding.
Controlled experiments and ablations with parameterized datasets.
Long‑tail hazards and rare weather, at scale and without risk.
Each delivery includes a health report with coverage distributions, failure forecasts, and leakage checks mapped to your acceptance criteria.
Tell us about your use case. We’ll follow up with a brief spec template and a sample.
3D models: OBJ, FBX, glTF/GLB, USD/OpenUSD. Annotations: COCO/YOLO, KITTI/nuScenes, OpenLABEL. Custom schemas available.
Chicago, IL