Scale Your AI Projects with Reliable Human Data Operations
We provide trained remote teams for AI data annotation, RLHF, LLM evaluation, transcription, and quality assurance. Our goal is to help companies scale faster while maintaining high data quality.
Every modality. One quality bar.
Data labeling
Image, video, text, audio, and 3D annotation with task-specific tooling and calibrated reviewers.
RLHF & model evaluation
Training based on reinforcement through human feedback. A key stage in training modern artificial intelligence models. It helps transform a basic language model (which simply generates text) into a safe and useful assistant that understands human intentions, ethics, and tone.
Data collection & sourcing
Specially curated datasets collected through verified participant networks and data collection programs on open networks.
Audio/Video transcription
Audio and video transcription. We work with a variety of formats and topics to meet your needs
A pipeline built for iteration, not a one-off batch.
We map your taxonomy, edge cases, and quality bar before a single label is drawn.
A small, fast batch validates guidelines and tooling against your ground truth.
Calibrated workforce pods ramp with automated QA and inter-annotator agreement checks.
Weekly accuracy reviews feed back into guidelines as your model's needs evolve.
"Vendor+'s reviewers caught labeling drift our own QA missed for weeks. Our eval accuracy moved more in one sprint than the previous quarter."
Bring your hardest labeling problem.
Most pilots ship a scoped, quality-audited batch within a week — no long-term contract required to start.