TrainLoop
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TrainLoop

trainloop.ai

Post-Training Research & Products

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Training reasoning models aligned with your goals.

TrainLoop is a post-training research and product lab. We develop algorithms, methods, and tooling to reliably train, steer, and deploy specialized AI systems.

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About Our Lab

At trainloop, we’re creating AI systems that are as unique and specialized as the humans that guide them.

We achieve this through theory-driven research and tooling innovations across machine learning, information theory, and cognitive science.

In addition to research, we collaborate with organizations possessing unique datasets or specialized technological resources to train state-of-the-art reasoning models on their tasks.

our focus

Continual Learning

Exploring the emergent properties of models that are always learning

Information Theory

Capacity‑aware objectives that promote stable, interpretable reasoning.

Feedback Alignment

Novel environment and reward signal curation, aligned with the objectives of the humans guiding them.

Evaluation & Interpretability

Tools to understand both external behavior and internal symbolism of models.

OUR TEAM

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We’re a lean team of researchers and compute engineers, serving customers that range from startups to publicly traded companies.

Each member of our team actively contributes to our research, working together to redefine the experience and expectations of model post-training.

outcomes

Our models frequently achieve state of the art or pareto-optimal performance on their task.

10%

90%

on SOTA MODELS

90+%

10%

partnerships

We collaborate with organizations possessing unique datasets or specialized technological resources. These partnerships seek to leverage these data advantages into academically rigorous, specialized AI models.

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Our collaboration process

Identification of Research Objectives.

Provide us access to your real usage data through a simple integration or direct upload—no heavy implementation needed.

Model Development and Experimentation

Our experts apply the latest RL algorithms like DPO and GRPO to fine-tune your model for accurate reasoning and preferred responses.

Integration and Continuous Optimization

We deliver your custom, fine-tuned model ready to deploy via an OpenAI API-compatible endpoint, fully managed by our team.

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Backed by Y Combinator (W25), we help developers build AI products they can trust.

North Beach,

San Francisco, CA

Email:

founders@trainloop.ai

LinkedIn GitHub X (Formerly Twitter) YC (W25)

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