hiloop
Autoresearch as a service: turn a measurable target into thousands of directed experiments
hiloop is an autoresearch service that takes a measurable target and runs large numbers of directed experiments, returning a better model or algorithm. Customers supply a metric and a way to score it, and the service runs the loop against it.
Work areas include post-training against customer-owned evals, returning updated weights; inference and kernel optimization covering quantization, scheduling, and speculative decoding; generation of synthetic RL environments for agent training; and signal detection and decoding against labelled corpora. The platform runs research workloads and trains models on customer data, with workloads executed in sandbox pods, tenant-level data isolation, and encryption in transit and at rest.
Packaging includes a self-serve tier with a limited retention window for inputs, outputs, and logs, and an enterprise tier that can contract for stricter handling, including custom retention and zero data retention, with no training on customer data by default. SOC 2 (Security) compliance is in progress, with live status available through the trust center.
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