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Data Labeling is the Foundation of Mission-Critical AI

The leading AI data labeling company and annotation platform for teams moving from experimentation to production, designed to label data, evaluate outputs, and scale with confidence.

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Mission Critical AI

New sales co-pilot products

Why HumanSignal

6-fold increase in AI development speed

Mission Critical AI

Move to resolution-based pricing

Why HumanSignal

Zero false positives

Mission Critical AI

Pre-natal ultrasound screening

Why HumanSignal

100% HIPAA compliant AI models

Mission Critical AI

New sales co-pilot products

Why HumanSignal

6-fold increase in AI development speed

Mission Critical AI

Move to resolution-based pricing

Why HumanSignal

Zero false positives

Mission Critical AI

Pre-natal ultrasound screening

Why HumanSignal

100% HIPAA compliant AI models

Better AI Labeling Starts with Built-In Quality Control

AI/ML models can reach their full potential—becoming more accurate, robust, and free of bias—when trained and evaluated using high-quality, human-labeled data. HumanSignal provides the machine learning annotation tools and quality control workflows needed to ensure your data is consistently reliable. Whether you’re working on complex computer vision tasks or LLM fine-tuning, continuous validation by expert labelers keeps your models aligned with real-world performance standards.

Predictions Raw Data Data Quality Workflows ACCURATE Expert review workflow andground truth verification CONSISTENT Annotator agreementworkflow to maintain standards over time COMPLETE Label distribution checks toensure relevant data labeled properly Mission-Critical Models HIGH PERFORMANCE Boost accuracy, precisionand recall, and F1 score ROBUST Performs well despitevariations in the environment FAIR Ensure unbiased outcomeswith bias and fairness metrics Changes in Data & Environments DRIFT PLATFORM CHANGES COMPLIANCE & REGULATION END USER FEEDBACK Determines predictionaccuracy & error rates Influences model’s abilityto handle variations Reduces systematic biasin predictions Ensures reliable andrepeatable predictions Ensures representationacross all groups Enables better handlingof diverse scenarios
Data Quality Workflows ACCURACY Expert review workflowand ground truth verification CONSISTENCY Annotator agreementworkflow to maintain standards over time COMPLETENESS Label distributionchecks to ensure relevant data labeledproperly Mission-Critical Models HIGH PERFORMANCE Boost accuracy,precision and recall, and F1 score ROBUST Performs well despitevariations in the environment FAIR Ensure unbiasedoutcomes with bias and fairness metrics Changes in Data & Environments DRIFT PLATFORM CHANGES COMPLIANCE &REGULATION END USERFEEDBACK Predictions Raw Data Determinesprediction accuracy & errorrates Influences model’sability to handle variations Reduces systematicbias in predictions Ensures reliable andrepeatable predictions Ensuresrepresentation across all groups Enables betterhandling of diverse scenarios
Raw Data Data Quality Workflows ACCURACY Expert review workflow andground truth verification CONSISTENCY Annotator agreement workflowto maintain standards over time COMPLETENESS Label distribution checks toensure relevant data labeled properly Mission-Critical Models HIGH PERFORMANCE Boost accuracy, precision andrecall, and F1 score ROBUST Performs well despite variations in the environment FAIR Ensure unbiased outcomes withbias and fairness metrics Predictions Changes in Data & Environments DRIFT PLATFORM CHANGES COMPLIANCE &REGULATION END USER FEEDBACK

Accuracy

Robust

Determines prediction accuracy & error rates

high performance

Influences model’s ability to handle variations

Consistency

high performance

Ensures reliable and repeatable predictions

Fair

Reduces systematic bias in predictions

Completeness

Robust

Enables better handling of diverse scenarios

Fair

Ensures representation across all groups

One data labeling and annotation platform for your entire enterprise

Ensure your team delivers on quality at scale with Label Studio Enterprise,  the #1 data labeling and active learning annotation tool for all of your AI initiatives.

Quality workflows deliver data that is:

Quality workflows deliver data that is:

Accurate

Annotation feedback loops, reviewer workflows, ground truth validation

Consistent

Inter-annotator agreement, consensus labeling, guidelines management

Complete

Label distribution plots and synthetic data augmentation

Plus everything your growing AI team needs to fine-tune llms and label your data successfully:

Our Platform

Built on Label Studio, the industry’s most popular and flexible data labeling software and LLM evaluation tool.

Label Studio is used by over 350,000 data scientists for data labeling projects across any use case, data type, or model.

“At the end of the day, the value we’re providing is novel machine learning algorithms that can solve problems for patients. None of that is possible without being able to create proprietary datasets that are highly accurate and labeled in an efficient, compliant and streamlined way.”

Robhy Bustami CEO

See how Label Studio Enterprise an AI-assisted data labeling platform, can work at your organization.

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