Accurate Data
for Ambitious AI

The training data platform trusted by the world’s most ambitious
organizations to develop accurate machine learning models.
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8 out of 10 AI Projects Fail Due to Training Data Challenges

Samasource is the only training data provider to address the full training data lifecycle. We reduce time to quality using automation, advanced analytics, and a highly agile training data methodology.

The Training Data Platform Trusted by
the World’s Most Ambitious AI Teams

API Integration
Data Selection and Filtering
Iterative Instructions
Quality Training Data
Multi-Level Quality Checks
Model Optimization
Detailed Reports and Analytics
Seamlessly re-prioritize tasks, provide quality feedback and monitor models in production. We support data of all types.
 
Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case.
 
Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices.
 
Get high-volume training data throughput with our advanced platform capabilities and highly trained annotators.
 
Gold tasks and advanced scripting detects errors early in the pipeline and our skilled QA team focuses on solving edge cases.
 
Quickly identify issues in the results of your algorithms and optimize their performance to bring them to production faster.
 
Get deep insights into your projects, including precise data on frame level annotation and edge cases. Our tailored reports help you prioritize and get your model to market faster.
 

In a partner we’re looking for someone that can handle the volumes of data that we can generate, and handle those volumes in a quality manner. Samasource is able to fulfill our business requirements, and do that cost effectively, but they have the added benefit of being an impact provider.

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Steve Heck

Former CTO, Getty Images

High-Quality Annotated Data at Scale

Get in touch today to learn how Samasource can solve your training data and machine learning model validation needs.