CUSTOMERS

Trusted by Industry Leaders

Leading companies across industries choose TigerLabel to power their AI initiatives with high-quality training data.

Trusted by 500+ companies worldwide

AutoDrive AI
MedTech Insights
RetailVision
FinanceAI Corp
TechStart
DataCorp
AI Dynamics
CloudScale
InnovateLabs
FutureAI
SmartVision
NeuralNet Co

Customer Success Stories

See how our customers are achieving breakthrough results with TigerLabel.

AD

AutoDrive AI

Autonomous Vehicles

The Challenge

Needed to label millions of camera images for object detection with high accuracy and consistency across global teams.

The Solution

Implemented TigerLabel with custom annotation workflows, AI-assisted labeling, and quality control processes to handle complex 3D bounding box annotations.

Results

60%
Faster Labeling
99.2%
Quality Score
40%
Cost Reduction

"TigerLabel transformed our data labeling workflow. The AI-assisted tools cut our labeling time in half while maintaining the accuracy critical for autonomous driving."

SC
Sarah Chen
Head of ML Operations, AutoDrive AI
MI

MedTech Insights

Healthcare AI

The Challenge

Required HIPAA-compliant platform for medical image annotation with expert radiologist review workflows.

The Solution

Deployed TigerLabel Enterprise with SOC2 compliance, custom radiologist review stages, and specialized medical imaging tools.

Results

3x
Annotation Speed
95%
Expert Agreement
250%
ROI

"The compliance features and expert review workflows make TigerLabel the only platform we trust for our medical AI datasets. Security and accuracy are both top-tier."

JR
Dr. James Rodriguez
Chief Medical AI Officer, MedTech Insights
RV

RetailVision

E-Commerce & Retail

The Challenge

Needed to categorize and tag millions of product images for visual search and recommendation engines.

The Solution

Leveraged TigerLabel active learning and consensus models to automatically pre-label products and validate with human review.

Results

5M+
Products Labeled
98.5%
Accuracy
70%
Time Saved

"TigerLabel active learning dramatically reduced our labeling costs. We can now process product catalogs 10x faster than before."

ET
Emily Thompson
VP of Product, RetailVision
FA

FinanceAI Corp

Financial Services

The Challenge

Required document extraction and NLP labeling for financial documents with strict quality and security requirements.

The Solution

Implemented TigerLabel for document annotation with custom NER workflows, quality prediction, and secure data handling.

Results

2M+
Documents Processed
99.7%
Extraction Accuracy
80%
Efficiency Gain

"The combination of security, accuracy, and speed makes TigerLabel indispensable for our document understanding AI."

MP
Michael Park
Director of AI, FinanceAI Corp
500+
Happy Customers
10B+
Labels Delivered
99.5%
Avg. Quality Score
24/7
Support Available
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