High-quality human data for better AI.
Adatacore helps AI teams turn audio, image, video and text into production-ready training and evaluation data through structured workflows and human review.
Real workflows, not just labels.
Each workstream can be configured around the data type, quality bar, review layers and delivery requirements of your project.
Image and video annotation
Text annotation and evaluation
Multi-layer quality review
Built around controlled human review.
Contributor work, reviewer checks and final audit can operate as one accountable workflow.
Structured guidelines
Clear instructions, examples, expected outputs and review criteria.
Layered review
Production and review are separated into controlled stages.
Traceable operations
Assignments, submissions and decisions live in one managed workflow.
From raw data to reviewed output.
Define the work
Share data type, guidelines, volume, language and quality requirements.
Run human workflows
Assign work to contributors and reviewers with progress tracking.
Review and deliver
Move final outputs through QA before downstream delivery.
Tell us what your AI team needs.
Share the project details and desired workflow.
Common questions.
Current workflows cover audio, text, image, video, human evaluation and multi-layer quality review.
Yes. Contributor, reviewer and final-audit stages can be separated so production and quality decisions remain controlled.
Use the annotator application form on this page. Applications are stored privately for admin review.