Generate, evaluate, label, train — the full computer vision data loop on one platform. No stitching between tools.
Trusted by NDA-bound enterprise partners.
Generate datasets and label them in hours. Iterate in minutes when a model fails on a new edge case.
Your data stays private and isolated in our cloud. Never shared, never reused across customers.
Unlimited generation and autolabel throughput. Spin up a one-off run or a 100k-image pipeline.
Data pipelines built for the models that go to production, not benchmark toys.
Models that run in datacenters or on compact edge devices. Same loop, same tooling.
Expand rare, complex scenarios when real data is scarce, costly, or risky to collect.
Trusted by
Synthesise new variants that mirror your real-world distribution. Scale training data without the collection cost.
Learn more
Label with vision models — bounding boxes, segmentation, classification. 85% accuracy at roughly 100x annotator speed.
Learn moreEcosystem
Import datasets and export models directly to the tools you already use.
Industries
From agritech to semiconductors — domain-specific datasets and AI labeling, wherever computer vision ships.
Proven results
Proof of technology
accuracy gain on the hardest class - measured across 8 industries and three imaging types, from color photos to X-ray, paired against real data alone.
Latest insights
Ship faster, cut labeling hours, iterate — on unlimited synthetic data.
