Data Annotation
Text, image, video, audio, and document labeling, with quality control on the same workflow.
Labeling capabilities
Tagging programs for production AI.
TagFoundry pairs trained reviewers with repeatable workflows so AI teams get labeled data, human checks, and evaluation they can trace.
Human-in-the-Loop Validation
RLHF grading, hallucination checks, expert review, and escalation when a label needs another pass.
Multimodal Tagging
Image, video, audio, document, sensor, and industrial data tagged for training and evaluation.
Model Evaluation
Benchmarking, safety testing, red teaming, bias review, and reliability checks against labeled data.
Label Quality & Governance
Guidelines, sampling, audit trails, and monitoring so label quality holds as the dataset grows.
Enterprise Labeling Programs
Staffing, workflow design, and day-to-day operations for labeling at production volume.
Industry Focus
Tagging programs for complex operating environments.
Semiconductor
Inspection datasets, defect taxonomies, labeling workflows, and manufacturing model evaluation.
Manufacturing
Visual quality labels, sensor data, process intelligence, and safety-critical model checks.
Healthcare
Document labeling, expert review, data quality programs, and controlled model evaluation.
Retail
Catalog tagging, visual labeling, customer-experience review, and response quality scoring.
Financial Services
Risk-aware human review, compliance labeling, model benchmarking, and governance reporting.
Enterprise AI
Cross-team labeling operations that turn pilot datasets into repeatable training data.
Ready to label
Scope the labeling work in front of the model.
Tell us where tagging or review is slowing you down, and TagFoundry will help map the workflow, review system, and evaluation plan.