Data Annotation
Text, image, video, audio, and document labeling with review built into the workflow.
Data tagging for the AI ecosystem
TagFoundry labels the data AI systems learn from. Annotation, human review, multimodal tagging, and model evaluation, run as one operation.
Core Services
We label, review, and check the data behind production models, from the first guideline through ongoing evaluation.
Text, image, video, audio, and document labeling with review built into the workflow.
Expert review, RLHF grading, hallucination checks, and a second look when a label is uncertain.
Image, video, audio, document, sensor, and industrial data tagged for training and evaluation.
Benchmarking, safety testing, red teaming, bias review, and reliability checks against labeled data.
Guidelines, sampling, audit trails, and continuous QA so datasets stay consistent as they grow.
Staffing, workflow design, and day-to-day operations for labeling at production volume.
Industries
TagFoundry works where data quality, human review, and evaluation decide whether a model is ready.
Why TagFoundry
Guidelines, tooling, and reviewers in one workflow, so labels and checks stay connected.
Reviewers and leads who can apply domain instructions, not only move a queue.
US-led strategy with delivery in the US and India for continuous labeling and review.
Let's label what trains your models
From annotation and human review to multimodal tagging and model evaluation, TagFoundry helps teams train on data they can defend.