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Reasoning Fine-Tuning
TrainLoop makes it effortless for developers to supercharge LLM performance through reinforcement learning.
TrainLoop AI is a post-training research and product lab focused on developing algorithms, methods, and tooling to reliably train, steer, and deploy specialized AI systems. They collaborate with organizations with unique data to train state-of-the-art reasoning models aligned with human objectives across multiple domains.
They offer a structured collaboration process to identify research objectives, develop post-training models, and sustain performance in production. Their work spans biological reasoning for pharma/biotech, reliability for high-risk industries like finance and logistics, and multimodal reasoning for complex image understanding and document abstraction, delivered through a research-to-production workflow that jointly defines goals, advances models, and maintains production performance.
Who it’s for: Organizations with unique data needing specialized AI models; pharmaceutical/biotech companies; financial services and logistics firms; enterprises seeking interpretable and reliable reasoning systems.
Hiring/partnerships emphasis; mentions collaborations and partnerships with organizations possessing unique datasets; ongoing blog/publication activity referenced
Cofounder at TrainLoop, previously Google Gemini & AlphaFold performance
My background is in applying AI models to business use-cases and have always found fine-tuning to be way harder than it should be - My mission is to unlock fine-tuning for all builders :)
Eliminate unwanted responses and match ideal outputs for your product.
TrainLoop offers an accessible platform that uses reinforcement learning techniques used by big AI labs to tune language models for specific business tasks (data curation, training with a reward model, and automated inference). It aims at developers deploying models in production, enabling production-ready, task-focused outputs beyond generic prompts and unreliable results. The launch invites users to join an alpha.
Formerly “Phoenix” · why startups rename →
DealLoop is building just-in-time AI to add 15 IQ points to every employee in your org. It delivers hyper-personalized, in-the-moment guidance during live conversations by tapping into your computer’s audio, video, and screen streams.
Reinforcement learning as a service
