hiloop
ActiveAI-nativeInfrastructure for recursive self-improvement
What it does
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.
Its site says now · captured 2026-08-23
hiloop: infrastructure for automated research
Snapshottable, forkable compute for research agents, with observability built in. Every run is one queryable trace. Bring your own harness, or use ours.
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