Improving Agents through Reinforcement Learning
Autonomous Electrical Engineering
Augento is the platform for DeepSeek R1 (like) fine tuning as a service. A user gives us an Agent and where it went wrong and we'll improve it. We provide a turn key solution to customers to act on poorly performing agents, by providing feedback in our UI to the agent and we'll take care of improving the model with reinforcement learning. Imagine a startup developing a tool for law firms, enhanced with an AI to assist lawyers in selecting clients. Currently, this startup would face significant challenges in building such a tool, as it’s crucial to provide accurate and consistent responses every time. With our technology, the startup can enhance the initial model by incorporating its own experience and feedback from beta users, eventually surpassing the initial model and delivering reliable results on every query.
Our first product, Stillwind Search, makes finding an electronic part as easy as writing a text message. The search engine turns natural language queries into fine-grained specifications that are matched against our proprietary database of millions of parts. This is the first step towards autonomous electrical engineering.
The company went from fine-tuning reinforcement learning agents for any customer (focused on agent improvement via RL) to building a search engine for electronic parts, aimed toward autonomous electrical engineering—completely different product, market, and problem.