Sama Launches Sama Automate to Cut Annotation Time and Boost AI Accuracy

Sama has introduced Sama Automate, a new data automation platform that offers faster, more efficient data annotation capabilities while prioritizing critical human-in-the-loop (HITL) feedback. Early implementations show a 40% reduction in annotation time while maintaining service-level agreement (SLA) quality targets. The company aims to cut annotation effort by up to 10 times before year-end.

Sama Automate combines machine learning automation with consistent human judgment, automating high-frequency labeling tasks while reserving expert input for complex edge cases. This hybrid approach helps speed time to market, saving time and money without sacrificing model accuracy. The platform’s flexible integration supports a wide range of AI models—from paid to open-weight and proprietary—at any point in the workflow.

“We are focused on balancing the best of AI with the expertise of human validation,” said Duncan Curtis, SVP of AI Product and Technology at Sama. “This hybrid approach has proven ideal for clients that want to enhance their workflows without sacrificing the quality of their model outcomes, and it allows us to deliver strategic value across the lifecycle of model development. It also assures our team stays on the cutting-edge of AI skills and capabilities, evolving to provide more sophisticated model valuation while offloading rote annotation to AI.”

Key Features of Sama Automate

• Hybrid Labeling: Automation handles repetitive tasks; humans validate rare or complex cases.

• Model Flexibility: Seamlessly integrates third-party or proprietary AI models.

• Faster Time-to-Market: Cuts cost and development time while preserving accuracy.

• Bias and Error Reduction: HITL oversight supports responsible AI deployment.

The platform supports Sama’s broader mission to democratize access to AI. Smaller companies in industries like retail, automotive, and finance can now develop high-quality models without needing extensive in-house AI resources. Through its human-in-the-loop (HITL) approach, Sama works closely with clients to provide strategic guidance on selecting and applying AI models. Human validation also plays a key role in reducing errors and bias, promoting more responsible AI development and deployment.

Clients also benefit from SamaHub™, a collaborative workspace for real-time project updates and collaboration, and SamaAssure™, the industry’s highest quality guarantee that ensures a 98% first-batch acceptance rate.

About Sama

Sama is a global provider of data annotation solutions for computer vision, generative AI, and large language models. Trusted by 40% of FAANG companies and other major Fortune 50 enterprises, including GM, Ford and Microsoft, its platform is supported by SamaIQ™ insights and a team of over 5,000 data experts. Sama is a certified B-Corp focused on ethical AI development and has helped over 68,000 people transition out of poverty through digital employment.

For more information, visit www.sama.com.

Editor’s Note: This article is based on an official press release issued by Sama and has been adapted by AiNews.com for clarity and context. It was created by Alicia Shapiro, CMO of AiNews.com, with writing, image, and idea-generation support from ChatGPT, an AI assistant. Final perspective and editorial decisions are solely Alicia’s. Special thanks to ChatGPT for assistance with research and editorial development.