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Augento (YC W25)
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…
Augento (YC W25)
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…
TL;DR
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
Company Overview
Problem Domain
Improving production LLM performance and automation via reinforcement-learning fine-tuning of open-source models.
Founded
2024
Industry
DeepTech
Tech Stack
Funding Track Record
$500K
Round led by Y Combinator (partner Gustaf Alströmmer listed)
Investor Signal
“Y Combinator participation (W25) and lead on Pre-Seed round”
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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