hiloop

Category

AI & Machine Learning

Launched

July 29, 2026

Website

hiloop.ai

The AI research world has spent the last two years arguing about models: who has the best benchmark score, the largest context window, the most efficient inference. hiloop, a Y Combinator backed startup, is making a quieter but arguably more fundamental bet: that the next leap in AI capability won't come from a single model, but from the infrastructure that lets autonomous agents run thousands of experiments on their own. The company's website doesn't lead with a model card or a benchmark. It leads with a phrase that would have sounded like science fiction a few years ago: "Infrastructure for automated research." hiloop's premise is that we're entering an era where AI agents don't just answer questions—they propose hypotheses, run experiments, and verify results. This is what the company calls "autoresearch," a term popularized by Andrej Karpathy's work showing that an agent with a verifiable metric can improve a system on its own. But running thousands of experiments at scale requires more than a clever prompt. It requires compute that can be snapshotted, forked, and restored; observability that can trace every action; and a way to make sense of it all. That's the gap hiloop is trying to fill.