TL;DR: hiloop is a Y Combinator Summer 2026 startup Infrastructure for recursive self-improvement, currently active with a team of 2.
Infrastructure for recursive self-improvement
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hiloop helps teams train agents for tasks where general models are not good enough. Give us a task, your current agent or model, and an evaluation. hiloop runs an autoresearch campaign across data, SFT and other post-training methods, continual learning, prompts, tools, harnesses, and systems, then returns the best verified improvement. It runs hosted or in your cloud. We provide the research system around models: persistent memory, full experiment lineage, compute orchestration, and statistical verification. We’re starting with agent and model training, continual learning, and optimization. Reach out to us for early access at founders@hiloop.ai.
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Yes. hiloop was funded by Y Combinator in the Summer 2026 batch. Infrastructure for recursive self-improvement
hiloop helps teams train agents for tasks where general models are not good enough. Give us a task, your current agent or model, and an evaluation. hiloop runs an autoresearch campaign across data, SFT and other post-training methods, continual learning, prompts, tools, harnesses, and systems, then returns the best ve…
hiloop was part of Y Combinator's Summer 2026 batch.
hiloop has a team of 2 people according to Y Combinator's directory.
hiloop is currently listed as Active with a team of 2 in Y Combinator's directory.
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