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Sama Launches Agentic Capture: Advanced Data Capture Framework for Enhanced Multi-Modal Agentic AI Solutions

AI performance, data annotation, data labeling, , machine learning solutions, multi-modal AI, Responsible AI

Sama, a leading company in responsible AI and data labeling, has launched Agentic Capture, a new feedback framework designed for multi-modal AI agents. This innovative platform improves how AI can learn and adapt by effectively processing diverse data types such as text, images, and audio. As the Market for agentic AI rapidly grows, with projections reaching USD 47.1 billion by 2030, the need for precise data handling has become crucial. Agentic Capture enhances model performance by providing accurate annotations and insights while ensuring human involvement in the training process. With a focus on improving AI behavior and effectiveness, Sama aims to meet the evolving needs of industries utilizing AI technology.



SAN FRANCISCO, CA — On February 18, 2025, Sama, a leader in responsible AI solutions, unveiled its latest innovation: Agentic Capture. This new feedback framework is designed to enhance the capabilities of multi-modal agentic AI across various industries, offering a robust solution for organizations aiming to develop smarter, more autonomous AI agents.

What is Agentic Capture?

Agentic Capture is built on Sama’s advanced capture platform, enabling effective management of complex use cases essential for agentic AI. This framework ensures high-quality data annotation through precise rubrics and instructions, offering consistent human oversight. As AI continues to evolve, Agentic Capture provides valuable insights into AI agent behaviors, making it easier for businesses to align their model goals with real-world applications.

Key Benefits of Agentic Capture

  1. Enhanced Decision Making: AI agents can act freely to handle tasks autonomously, learning from interactions to enhance their performance.
  2. Multi-modal Data Integration: The framework supports the integration of various data types—text, images, audio, and video—ensuring the development of more versatile AI agents.
  3. Performance Insights: With transparent reporting and feedback, organizations can better understand AI behaviors and improve model performance iteratively.

Duncan Curtis, SVP of AI at Sama, emphasizes the need for evolving AI solution strategies, stating, "We’re on the brink of significant advancements in agentic AI capabilities, and the Agentic Capture framework is pivotal for leveraging diverse data types to make these agents more efficient."

Growing Market for Agentic AI

The agentic AI Market is projected to grow from USD 5.1 billion to an astonishing USD 47.1 billion by 2030. With many industries adopting AI technologies for tasks ranging from customer service to fraud detection, Sama’s Agentic Capture offers critical support for organizations aiming to stay ahead in the competitive landscape.

Conclusion

Sama’s commitment to innovation and responsible AI development is evident in the launch of Agentic Capture. This framework not only addresses existing challenges in AI agent training but also opens up new possibilities for businesses across various sectors. For companies looking to enhance their AI capabilities, Agentic Capture is a game-changer.

For more information about Sama and how Agentic Capture can benefit your organization, visit their website at www.sama.com.

Keywords: Agentic Capture, multi-modal AI, autonomous AI agents, AI framework
Secondary Keywords: data annotation, AI performance, machine learning solutions

What is Agentic Capture?
Agentic Capture is a data capture framework designed to gather information effectively from various sources. It helps AI systems understand and process data better by combining different types of information.

How does Agentic Capture work?
Agentic Capture collects data from multiple channels, like text, images, and audio. It organizes this information so that AI models can learn from it more efficiently, making them smarter and more accurate.

Who can benefit from using Agentic Capture?
Businesses, researchers, and developers can benefit from Agentic Capture. It helps them gather valuable data that can improve AI applications, making them more responsive to user needs.

What makes Agentic Capture different from other data capture methods?
Unlike traditional methods, Agentic Capture focuses on multi-modal data. This means it can handle different types of data in one framework, giving a complete view and better insights.

Is Agentic Capture easy to use?
Yes, Agentic Capture is designed to be user-friendly. Users can easily integrate it into their existing systems and start capturing data without needing extensive technical knowledge.

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