We work directly with research labs and AI companies on bespoke data problems. Our team includes frontier lab alumni and PhDs who understand what your models actually need.
Most training data vendors sell volume. We sell specificity. If you need a thousand carefully constructed examples of multi-step mechanical reasoning, or video demonstrations of robotic manipulation tasks with motion-capture ground truth, we're built for that.
Long-tail and domain-specific datasets across text, image, video, and motion capture. We focus on the data that's hardest to get right: multimodal, expert-level, and constructed for your specific training objectives.
Custom eval suites designed by people who've built them at frontier labs. There's a real difference between evals that look good on a leaderboard and evals that actually tell you something about your model.
Purpose-built reinforcement learning environments for post-training. Reward modeling, preference data, and RLHF/RLAIF pipelines designed to spec, not from a template.
MechE PhD. 20+ years in manufacturing and robotics. Bridges the gap between physical systems and the data needed to model them.
Frontier lab research engineer. RL and post-training on modern multimodal foundation models.
Former senior account manager at Salesforce (99th percentile). Over a decade in enterprise sales.