hiloop (YC S26)

Every AI company should own its data, its models, and the research lab that keeps making them better. Today, @tboser and I are launching @hiloopai to make that possible. The frontier advantage isn’t access to a model. It’s the research organization continuously improving it. Your product already generates the raw material for better intelligence: proprietary data, production feedback, evaluations, and domain expertise. Very few teams have the research capacity to turn those assets into better models. Hiloop builds and operates that capability with you. Bring us the model your product depends on, the data that makes it different, and an evaluation that defines success. We reproduce your baseline and run an autonomous research campaign against it. Agents pursue competing hypotheses in parallel, build on previous results, and promote only improvements that survive verification. Our researchers validate the winners and bring them into production. The work can run hosted or inside your environment. You retain control of your data, and the resulting models, evaluations, and research artifacts are yours. We’re starting with model training, post-training, and inference optimization, where progress is measurable and the value is immediate. But this isn’t a one-off model improvement. It’s a persistent research capability that begins each campaign with everything learned from the last. Over time, the lab accumulates research memory and improves its own tools, evaluations, and agents. The process used to create better intelligence gets better itself. That’s infrastructure for recursive self-improvement. If your product depends on a model and an important metric has stopped moving, bring us the model you can’t make better. We're much better at research than making videos! Reach out to us: founders@hiloop.ai

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