Expert data for every modality your model learns from.
Pick a category, combine several, or bring your own spec. Every program runs through the same consent, privacy, and QA pipeline.
Egocentric video from the skilled trades.
First-person, head-mounted footage of real professionals doing real work on real sites — the long-tail manipulation data that robotics and world models are missing.
What you get
- Egocentric (POV) video of complete, real tasks
- Step-level timestamps and action segmentation
- Spoken or written narration of intent
- Expert notes: technique, safety, common mistakes
- Tool, object, and hand-interaction labels
- Faces and bystanders blurred
Speech data that sounds like real people.
Scripted and natural recordings from diverse speakers, with careful transcription and the labels voice agents need to understand intent — not just words.
What you get
- Scripted, conversational, and role-play recordings
- Verbatim and clean transcripts with timestamps
- Intent, sentiment, and tone labels
- Speaker and acoustic-condition metadata
- Voice-agent evaluations and human preference ratings
Evals written by people who know the answer.
Hard, unambiguous questions and grading rubrics authored and cross-checked by domain experts — so you measure real capability, not test-taking.
What you get
- Expert-written eval questions with reference answers
- Detailed grading rubrics and scoring guides
- Adversarial red-teaming and failure analysis
- Model-output grading and side-by-side preference
- Held-out sets that stay private to you
Tasks and trajectories from working professionals.
Realistic, multi-step tasks built and solved by practitioners — with demonstrations, reward signals, and critique that teach agents to do real work.
What you get
- Realistic task environments and prompts
- Expert demonstrations and step-by-step trajectories
- Reward rubrics, preference pairs, and critiques
- SFT and RLHF/RLAIF-ready formats
- Coverage across professional domains
Precise annotation for images and video.
Pixel-accurate annotation by trained labelers with domain experts in the loop for anything specialized.
What you get
- Bounding boxes and polygons
- Semantic and instance segmentation
- Keypoints and pose
- Video object tracking and event tagging
- Dense captioning and visual Q&A
See the data before you commit.
Tell us what your model needs to learn. We’ll scope a pilot and send a sample set in your schema.