New image, video, audio, text, and behavioral data, collected to your scenario, actions, and environment. Or start from data you already hold - we clean, structure, and enrich it against your schema. Either path returns model-ready output, without your team building the pipeline.
Robotics & embodied AI
AI labs & foundation models
Computer vision teams
Voice & speech teams
Search & recommendation
Autonomous systems
Subject matter, scenario, modality, output format, and quality thresholds, agreed with your team upfront. We map edge cases and acceptance criteria before anything runs, so the output matches what your model actually needs.
Task 18M+ verified contributors across 150+ countries to collect new data or prepare data you already hold. You do nothing operational - we handle sourcing, briefing, and coordination, and scale contributor count to your volume and timeline.
Format, resolution, framing, and completeness validated on every submission before human review. Anything malformed or off-spec is caught and rejected at intake, so reviewers only spend time on genuine edge cases.
2-3 contributors cross-verify each item against your spec, with disagreements resolved against golden-set benchmarks. This keeps labeling consistent across contributors and holds accuracy steady as volume scales.
Senior Acquirox leads review flagged and edge-case items, with optional preference scoring for RLHF value. They set the golden standard the wider network is measured against, so quality does not drift over a long project.
Model-ready output with documented provenance and spec-matched metadata, exported straight to your pipeline. Delivered in the format and structure you specified at the start, ready to use without cleanup or reformatting on your end.
Tell us what you need collected or enriched. We scope it and share samples before you commit.