Neo AI engineer

Neo is an autonomous AI agent designed to handle the heavy lifting of machine learning and AI engineering. You describe a task in plain English—like fine-tuning a model, building a RAG pipeline, or running a benchmark—and Neo takes over. It writes the necessary code, runs experiments (sometimes for days), evaluates the results, and delivers the final, versioned artifacts. It's built to automate the repetitive, time-consuming parts of the ML workflow, from data preparation and model training to testing and deployment.

What makes Neo stand out is its multi-agent system that works in parallel within a dedicated GPU sandbox. You can guide its process through a chat interface, but it also uses multi-step reasoning to explore different approaches, assess risks, and optimize outcomes on its own. It integrates directly into your development environment via VS Code and Cursor extensions, and it can connect to your existing repositories, data sources, and hardware constraints to tailor its work to your specific setup.

This tool is a major time-saver for machine learning engineers, data scientists, and developers building AI-powered products. It's particularly useful for teams that need to rapidly prototype models, run extensive evaluations and benchmarks, optimize prompts, or deploy coordinated AI agent swarms. If you're tired of writing boilerplate code for experiments, Neo handles that grunt work, letting you focus on steering the project and interpreting the results.