Coactive's Multimodal AI Platform is designed to transform how organizations manage and extract value from their visual content, including images, videos, and audio. By automating the generation of detailed and context-aware metadata, Coactive enables businesses to enhance content discoverability, streamline operations, and deliver personalized experiences to their audiences. Key Features and Functionality: - Automated Multimodal Tagging: Utilizes AI to generate precise tags across visual and audio assets, integrating signals from visuals, spatial audio, and dialogues for comprehensive content understanding. - Semantic Search: Allows users to perform natural language searches across content libraries, returning relevant results anchored to specific moments within videos or images. - Advanced Analysis Tools: Provides SQL-based querying capabilities to analyze large-scale visual datasets, enabling insights into content performance, user engagement, and potential risks. - Flexible Model Integration: Supports a variety of foundation models, allowing organizations to select or integrate models that best fit their specific needs, including options to bring their own models. - Efficient Content Ingestion: Handles large volumes of media efficiently, with intelligent pre-processing that segments content into meaningful units, facilitating easier analysis and reuse. Primary Value and Solutions Provided: Coactive addresses the challenges of managing vast and unstructured visual data by automating metadata creation and enhancing content searchability. This leads to improved content personalization, efficient content moderation, and optimized content operations. By reducing manual tagging efforts and providing accurate, context-rich metadata, Coactive empowers organizations to unlock the full potential of their visual assets, driving better engagement and operational efficiency.