
Augento improves LLM task performance by applying reinforcement learning fine-tuning driven by user-defined reward functions. The platform connects to existing large language models, runs RL training jobs, and produces open-source fine-tuned models that are automatically hosted and accessible via API. It is a B2B SaaS developer platform that integrates with common ML toolchains and technologies, including LLMs, reinforcement learning frameworks, TensorFlow.js, and standard APIs. Typical use cases include coding agents, internal automation tools, browser agents, and vision–language robot control. Augento offers pay-as-you-go plans for developers and enterprise options with dedicated infrastructure and support for production deployments.

Augento improves LLM task performance by applying reinforcement learning fine-tuning driven by user-defined reward functions. The platform connects to existing large language models, runs RL training jobs, and produces open-source fine-tuned models that are automatically hosted and accessible via API. It is a B2B SaaS developer platform that integrates with common ML toolchains and technologies, including LLMs, reinforcement learning frameworks, TensorFlow.js, and standard APIs. Typical use cases include coding agents, internal automation tools, browser agents, and vision–language robot control. Augento offers pay-as-you-go plans for developers and enterprise options with dedicated infrastructure and support for production deployments.
What they do: Platform for reinforcement-learning fine-tuning (RLFT) of open-source LLMs, hosting resulting models and offering APIs
Founded: 2024
YC batch: Y Combinator W25
Funding: $500K Pre-Seed (Mar 12, 2025) led by Y Combinator
Headcount: 4 employees
Improving production LLM performance and automation via reinforcement-learning fine-tuning of open-source models.
2024
DeepTech
$500K
Round led by Y Combinator (partner Gustaf Alströmmer listed)
“Y Combinator participation (W25) and lead on Pre-Seed round”