Audience

Machine learning engineering teams and data scientists looking for a solution to outsource routine ML pipeline execution to an autonomous system that builds, validates, and deploys models with minimal manual intervention

About NEO

NEO is an autonomous machine learning engineer: a multi-agent system that automates the entire ML workflow so that teams can delegate data engineering, model development, evaluation, deployment, and monitoring to an intelligent pipeline without losing visibility or control. It layers advanced multi-step reasoning, memory orchestration, and adaptive inference to tackle complex problems end-to-end, validating and cleaning data, selecting and training models, handling edge-case failures, comparing candidate behaviors, and managing deployments, with human-in-the-loop breakpoints and configurable enablement controls. NEO continuously learns from outcomes, maintains context across experiments, and provides real-time status on readiness, performance, and issues, effectively creating a self-driving ML engineering stack that surfaces insights, resolves standard settlement-style friction (e.g., conflicting configurations or stale artifacts), and frees engineers from repetitive grunt work.

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Company Information

NEO
United States
heyneo.so/

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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

NEO Frequently Asked Questions

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NEO Product Features