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Imagine a future where using computers is as easy as talking to a friend. Where humans no longer need mouse movements and keyboard presses to figure out how to use a software because you now have a computer that will do you tell it to do. Agile Loop’s AL OS1 is making that a reality now. We’re an Artificial General Intelligence venture building a self-learning foundation model for Actionable AI Agents trained to act skilfully in the digital world. Our foundation model can operate any software user interface it sees with just human language prompts. It has an infinite context window, continually learns in production and therefore evolves and develops new capabilities based on your specific needs at run time. Foundation Model APIs (Third Party Integrations): 1) For Developers | Access our foundation model APIs to fine-tune and deploy a custom AI Agent trained to execute your choice of tasks and on your choice of Software/OS. 2) For Software Companies | Integrate our Model APIs to build a Co-pilot for your SaaS product and transform your user interface into a human language driven interface. Your users can simply prompt the AI to execute their tasks on your SaaS product. This way they won’t find difficulty in using your product’s interface and you won’t worry about losing users due to a complex UI. Search Action Engine (SaaS Subscription): A subscription based AI agent trained to use browsers on your behalf and handle your web-based tasks. It offers users to operate all kinds of web-apps through one chat interface. Talk to your browser and tell it to book flights and hotels online, do e-commerce activities such as online shopping on eBay, and much more. It surfs through the web in seconds, summarises results based on your prompt, and navigates the browser to complete your task. Join us on our mission to reinvent human-computer interactions and simplify software adoption and usability for all: https://discord.gg/dHabERrx

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HeadquartersLondon, United KingdomEmployees31(11 to 50)Websiteagileloop.aiLinkedIn profileLinkedIn

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