Introducing AI-Powered Auto-Labeling

Build Better AI with
Quality Training Data

The enterprise platform for AI teams to label, manage, and iterate on training data at scale. Support for all data types with built-in quality assurance and AI-assisted automation.

10M+ labels/day
SOC 2 Type II Certified
99.5% Quality Rate
1.2M
Labels
94.2%
Quality
156
Labelers
24
Projects
ALL DATA TYPES

One Platform for Every Modality

Label any type of data with specialized tools designed for each modality.

Image

Bounding boxes, polygons, semantic segmentation, keypoints

Text

NER, classification, sentiment analysis, document processing

Video

Object tracking, action recognition, temporal annotation

Audio

Transcription, speaker diarization, sound classification

3D/LiDAR

Point cloud annotation for autonomous systems

Documents

OCR, form extraction, table recognition, layout analysis

POWERFUL FEATURES

Everything You Need to Scale AI

Enterprise-grade features to accelerate your AI development lifecycle.

AI-Assisted Labeling

Accelerate annotation with pre-labels from state-of-the-art models including SAM, YOLO, and GPT-4.

Built-in Quality Assurance

Gold standard tests, consensus mechanisms, and ML-powered quality prediction ensure accurate labels.

Custom Workflows

Design multi-stage labeling pipelines with conditional routing, review steps, and quality gates.

Workforce Management

Intelligent task routing, performance tracking, and skill-based assignment for your labeling team.

Enterprise Scale

Process millions of labels per day with real-time collaboration and global infrastructure.

Analytics & Insights

Track throughput, quality metrics, and project progress with comprehensive dashboards.

INTEGRATIONS

Connect Your Data Stack

Seamlessly integrate with your existing tools and infrastructure.

AWS
GCP
Azure
DB
SF
S3
OAI
HF
AWS
GCP
Azure
DB
SF
S3
OAI
HF
10M+
Labels Per Day
500+
Enterprise Customers
99.9%
Uptime SLA
50+
Export Formats
TESTIMONIALS

Trusted by Industry Leaders

See how leading AI teams use TigerLabel to accelerate their development.

"TigerLabel transformed our annotation workflow. We went from labeling 50K images per month to 500K with the same team size."
SC
Sarah Chen
Head of ML, AutoDrive Inc.
"The quality assurance features are game-changing. Our model accuracy improved by 15% after switching to TigerLabel."
MR
Michael Rodriguez
AI Lead, MedTech Solutions
"Best-in-class support and enterprise features. The custom workflow builder saved us months of development time."
EW
Emma Watson
VP Engineering, RetailAI

Trusted by 500+ companies worldwide

TechCorp
AI Labs
DataFlow
MLOps Inc
Vision AI
See TigerLabel in action

Ready to Build
Better AI?

Join thousands of AI teams using TigerLabel to create high-quality training data. Schedule a personalized demo to see our platform in action.

✓ Personalized demo✓ No commitment required✓ Expert guidance✓ SOC 2 Compliant