NEO makes ML engineers superhuman
Automate Model Optimization
Neo uses multi-step reasoning with its extensive knowledge base and GPU sandbox computing to perform iterative ML experimentation for automatic model optimization. Neo understands the task and runs 100s of experiments and automatically evaluates their performance against targets, and select best models.
Guide NEO through chat
Take control over Neo with our interactive chat interface. Guide Neo's exploration of models and approaches, providing context and expertise to accelerate tasks and projects. Streamline your ML workflow with Neo's flexible and responsive assistance.
Neo's Pathfinding Abilities
Unlock Neo's full potential with Multi Step Reasoning. Neo proactively explores multiple approaches, assesses potential outcomes, and evaluates risks to find the most effective solution for your challenge. Leveraging its reasoning capabilities, Neo anticipates challenges and refines its recommendations, ensuring a swift and successful path forward.