NeoAn AI-powered autonomous machine learning engineer capable of developing, deploying, and maintaining machine learning models without human intervention.

Neo is an AI-powered engineering agent that helps automate the process of developing, deploying, and maintaining machine learning models. It works with popular tooling like Claude Code, Cursor, and VS Code IDE, and can perform tasks such as code generation, experiment management, debugging, and model evaluation. Neo uses multi-step reasoning and a GPU sandbox to perform iterative ML experimentation, running hundreds of experiments and automatically selecting the best model. One of the key features of Neo is its ability to learn and adapt to the user's workflow, and it can handle tasks such as fine-tuning models, building benchmarks, and performing prompt optimization. Neo also comes with a user-friendly interface that allows users to guide its exploration of models and approaches, providing context and expertise to accelerate tasks. The company claims that Neo has proven performance on real benchmarks, and it has won competitions such as MLEBench. Some of the use cases that Neo can handle include model evals, prompt tests, RAG pipelines, dataset prep, experiments, and reports. Neo's capabilities can be broken down into a 4-step workflow: describing the task, adding context, running experiments, and steering or testing the results. One of the advantages of using Neo is that it can automate the engineering loop and keep iterating until the task is done, freeing up ML engineers to focus on higher-level tasks. Neo can also make use of SOTA models and software to perform its tasks.