TrainLoop
About
TrainLoop is a post-training research and product lab that works with enterprises to build specialized reasoning models and agents. Its research-to-production workflow spans objective definition, expert and proprietary data, reinforcement learning and fine-tuning, evaluation, deployment, and continual training. Current work includes biological reasoning, high-reliability agents, multimodal systems, long-horizon post-training, and model-evaluation research, with published case studies across healthcare, logistics, finance, and knowledge work.
What They Offer
Commercial or operational services this company provides.
Products & Public Artifacts
Specialized visual-medicine reasoning model trained with GRPO on expert clinical data in collaboration with Nolla Health.
Visit artifact →Public research note evaluating one-step and lagged-policy OAPL against GRPO on a clinical reasoning and response-prediction task.
Visit artifact →Research-to-production workflow for training specialized models and agents with reinforcement learning, fine-tuning, evaluation, and continual training.
Visit artifact →Open-source data collection and LLM evaluation framework with CLI, SDK integrations, local storage, and evaluation workflows.
Visit artifact →Technical Capabilities
Only publicly documented capabilities are shown. Absence does not imply the capability is unavailable.