A naukri.com initiative
Mit
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205
Image Credit: Mit
Helping machines understand visual content with AI
- Coactive, founded by Cody Coleman ’13, MEng ’15 and William Gaviria Rojas ’13, has developed an AI-powered platform to analyze visual data efficiently.
- Their platform helps businesses search, organize, and analyze unstructured visual content for faster decision-making.
- Approximately 80 to 90 percent of the world's data is unstructured, emphasizing the need for AI in understanding data like images, video, and audio.
- Coactive assists media and retail companies in understanding visual content, enhancing user experiences, and identifying explicit content.
- The founders aim to demonstrate AI's ability to enhance human productivity and problem-solving.
- Coactive's platform acts as an 'AI operating system' that can be easily adapted to different AI models.
- The platform's applications include searching content, generating metadata, and extracting insights.
- Coactive has significantly improved content management for companies like Reuters and Fandom through AI-based search capabilities.
- Fandom has reduced content review time from 24-48 hours to an average of 500 milliseconds using Coactive.
- The founders envision Coactive as revolutionizing human-computer interactions by enabling a new way of working with content and AI.
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