About TreeScale

TreeScale was designed to scale microservice infrastructres in a generic way. Based on the demond from AI Based tools we designed our platform specifically for scaling AI Tools and APIs by providing low code/no code solution for prompt engineering.

How it all started?

TreeScale open source was an initial implementation of highly scalable data processing infrastructure, which over time became stable and implemented in dozens of companies as a primary data processing endpoint. It is written in Rust programming language and delivers near to real-time Event-based data distribution across the multi-server infrastructure to handle parallel processing as efficiently as possible.

Why Private Custom AI Models?

OpenAI, with its ChatGPT, opened new doors to deliver AI into many more industries that have always been technically limited to using AI because of the need for more technical resources and knowledge gaps. Our main goal is to provide easy-to-use tools for companies who want to have their version of some AI Model but don’t have the technical knowledge or team to build the infrastructure around that model training and execution.

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