Luda, a company specializing in AI agents, has launched a new system called Real-Time Reinforcement Learning (RT-RL). This system enables users to create AI creations that can interact and behave according to physics without requiring coding or animation skills. Luda has secured $7 million in funding for its AI work, with investments from Bitkraft Ventures, Compound, and prominent figures such as Google’s chief scientist, Jeff Dean, and Transformer paper co-author, Illia Polosukhin. Scott Rupp, partner at Bitkraft, believes Luda’s breakthrough has the potential to revolutionize consumer interaction with AI, particularly in the gaming industry.
Luda’s users can create their AI agents through Mels, a real-time browser-based simulation that animates them using generative AI. These agents utilize Accelerated Learning, Low-Latency Inference, and Human Interactivity. The company believes these agents are well-suited for user-generated content (UGC) gameplay, as anyone can create them. Vijay Sundaram, founder and CEO of Luda, states that their goal is to create a new consumer category where immersive and interactive AI agents can be easily crafted through an accessible and enjoyable experience.
In summary, Luda has introduced Real-Time Reinforcement Learning (RT-RL), a system that allows users to create AI agents that interact and behave based on physics without needing to code or animate. The company has raised $7 million in funding, with investments from Bitkraft Ventures, Compound, Jeff Dean, and Illia Polosukhin. Luda’s users can utilize Mels, a real-time browser-based simulation, to animate their AI agents using generative AI. These agents are designed for user-generated content gameplay, making AI creation accessible to all users. Luda envisions a new consumer category that combines human creativity, social connection, and user-generated agents.