SAMA has introduced SAMA Automate, a new data automation platform that offers faster and more efficient data annotation capabilities, while prioritizing critical human-in-in-the-loop (HITL) feedback. Early implementation reduces annotation times by 40% while maintaining service-level contract (SLA) quality goals. The company aims to cut its annotation efforts by the end of the year by up to 10 times.
SAMA Automate combines machine learning automation with consistent human judgment to book professional inputs for complex edge cases while automating high-frequency labeling tasks. This hybrid approach helps speed up time to save time and money without sacrificing the accuracy of the model. Flexible integration of the platform supports a wide range of open weights and uniquely paid AI models at every point in the workflow.
“We focus on balancing the best of AI with human verification expertise,” said Duncan Curtis, SVP of AI Products and Technology at SAMA. “This hybrid approach has proven ideal for clients who want to enhance their workflow without sacrificing the quality of model outcomes, providing strategic value throughout the lifecycle of model development. It also ensures that they stay at the cutting edge of AI skills and capabilities and evolve to load AI while providing a more sophisticated model assessment.”
Key features of SAMA Automate
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Hybrid Label: Automation handles recurring tasks. Humans examine rare or complex cases.
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Model flexibility: Seamlessly integrate third-party or unique AI models.
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Fast time to market: Reduce costs and development time while maintaining accuracy.
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Bias and Error Reduction: HITL Monitoring supports responsible AI deployment.
The platform supports SAMA’s broader mission to democratize access to AI. Small and medium-sized enterprises in the retail, automotive, and finance industry can now develop high-quality models without the need for large-scale in-house AI resources. Through the Human-in the Loop (HITL) approach, SAMA works closely with clients to provide strategic guidance on selecting and applying AI models. Human verification also plays a key role in reducing errors and biases, encouraging the development and deployment of more responsible AI.
Clients also benefit from Samahub™, a collaboration workspace for real-time project updates and collaborations, and Samaassure™, the industry’s largest quality assurance, guaranteeing acceptance rates of 98% first batches.
SAMA is a global provider of data annotation solutions for computer vision, generation AI, and large-scale language models. Trusted by 40% of Faang companies, including GM, Ford, Microsoft and other leading Fortune 50 companies, the 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, helping over 68,000 people get out of poverty through digital employment.
Editor’s Note: This article is based on the official press release published by Summer Applied by ainenews.com for clarity and context. Created by Alicia Shapiro, CMO at AINEWS.com, it has written, imaged and idea generation support from AI assistant ChatGpt. Alicia is the only final perspective and editorial decision. Thank you to ChatGpt for supporting our research and editorial development.
