lorenss

Today, HUD is excited to share our Series A funding! We are the platform for building high quality post training datasets. Over 50 businesses use HUD to build RL environments, sell them to AI labs, or train their own models from them. Our mission is to enable a generation of data entrepreneurs. The previous generation built apps to impact the world. We believe people will build infrastructure around data, both digital and physical, that align AIs to their specific goals. We’ve raised $16M in total funding from @Standard_Cap, @ycombinator, @ExceptionalCap, @Liquid2V, @twentytwovc , amazing angels such as @dylan522p from @SemiAnalysis_, @tszzl, @ivanburazin, @theo, and more!

we're wrong when we say RL will only lead to spikes in domain-specific intelligence. just like world models emerged from scaling single-token language inference, what emerges through scaled reasoning in deepseek is implicit self-reflection.