hiloop
hiloop is a YC Summer 2026 (S26) company. Based in San Francisco, CA, USA. Team of 2.
About hiloop
Summary
hiloop builds an autoresearch platform that automatically improves AI models and agents against a metric the customer owns. Engineering teams bring a task, an existing model or agent, and an evaluation function; hiloop runs thousands of directed experiments across training data, post-training methods, prompts, tools, and system configuration, then returns verified improvements. It replaces the manual, iterative ML research loop that teams otherwise run themselves.
Go-to-market
hiloop targets AI and ML engineering teams whose general-purpose models fall short on specific tasks, with early access granted through direct founder outreach.
From the Y Combinator listing
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 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.
Facts
- B2B / B2B -> Infrastructure
- San Francisco, CA, USA
- 2
- Active
- Early
Founders (1)
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