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VentureBeat
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Realtime AI video analysis app Lloyd will offer developer kit after passing 50,000 users
- AI startup EndlessAI plans to open its Lloyd AI platform up to third-party developers early next year and launch a consumer-facing Android app in January.
- EndlessAI's Lloyd app uses proprietary video streaming and encoding technology to feed live video to AI models including OpenAI’s GPT-4o to help with a wide variety of tasks from bicycle repair to telling bedtime stories.
- Lloyd achieved over 50,000 users three months after a stealth launch, with 41% of users engaging with the app daily.
- EndlessAI has already begun upgrading Lloyd with what it calls “powers,” including real-time AI coaching that provides step-by-step guidance for cooking and new powers such as Tour Guide shortly to launch.
- Lloyd's ability to process video data through Large Language Models (LLMs) sets it apart, reducing the cost of video analysis by over 99%, allowing real-time video analysis at a fraction of the cost typically associated with such tasks.
- EndlessAI's technology overcomes the limitation of traditional LLM architectures not being optimized for video, making real-time video analysis prohibitively expensive and slow.
- EndlessAI is building an SDK for developers to create unique visual AI solutions with extreme simplicity, beginning early next year.
- Lloyd's consumer-facing features have gained traction for uses in food preparation, household repairs, fashion and lifestyle coaching, and others, while developer tools span industries from creating AI-enhanced chat applications to integrating video analysis into production lines and safety monitoring systems.
- EndlessAI plans to court law enforcement with its underlying video encoding tech to provide analysis of police body cam footage, with the potential to recognize and aid those experiencing a heart attack.
- EndlessAI prioritizes user privacy, with data staying private to users accounts, and EndlessAI only accessing it for support if users explicitly request assistance.
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