Data tagging for the AI ecosystem

Tag data for the AI ecosystem.

TagFoundry labels the data AI systems learn from. Annotation, human review, multimodal tagging, and model evaluation, run as one operation.

24x7 Labeling coverage
Global US + India delivery
Enterprise Review and labeling expertise

Core Services

Tagging services for teams training AI.

We label, review, and check the data behind production models, from the first guideline through ongoing evaluation.

01

Data Annotation

Text, image, video, audio, and document labeling with review built into the workflow.

02

Human-in-the-Loop Validation

Expert review, RLHF grading, hallucination checks, and a second look when a label is uncertain.

03

Multimodal Tagging

Image, video, audio, document, sensor, and industrial data tagged for training and evaluation.

04

Model Evaluation

Benchmarking, safety testing, red teaming, bias review, and reliability checks against labeled data.

05

Label Quality & Governance

Guidelines, sampling, audit trails, and continuous QA so datasets stay consistent as they grow.

06

Enterprise Labeling Programs

Staffing, workflow design, and day-to-day operations for labeling at production volume.

Industries

Built for domains where the label has to be right.

TagFoundry works where data quality, human review, and evaluation decide whether a model is ready.

Why TagFoundry

More than a labeling tool.
A tagging operation.

Annotation and human review

Guidelines, tooling, and reviewers in one workflow, so labels and checks stay connected.

People who know the data

Reviewers and leads who can apply domain instructions, not only move a queue.

Global delivery

US-led strategy with delivery in the US and India for continuous labeling and review.

Let's label what trains your models

Put reliable tags behind your AI.

From annotation and human review to multimodal tagging and model evaluation, TagFoundry helps teams train on data they can defend.