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About

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.

About

TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Audience

Engineering and DevOps teams in need of a tool to fix bugs faster by using AI-guided, trace-based debugging with contextual reasoning and streamlined GitHub integration

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$49 per month
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NEO
United States
heyneo.so/

Company Information

TraceRoot.AI
Founded: 2025
United States
traceroot.ai/

Alternatives

Alternatives

Factory Droid

Factory Droid

Factory.ai
Cline

Cline

Cline AI Coding Agent
Arize Phoenix

Arize Phoenix

Arize AI
TelemetryHub

TelemetryHub

TelemetryHub by Scout APM

Categories

Categories

Integrations

CAMEL-AI
Claude
Docker
GitHub
JavaScript
Jupyter Notebook
Meta AI
Notion
OWL
OpenAI
OpenTelemetry
Python
Slack
TypeScript
Visual Studio Code

Integrations

CAMEL-AI
Claude
Docker
GitHub
JavaScript
Jupyter Notebook
Meta AI
Notion
OWL
OpenAI
OpenTelemetry
Python
Slack
TypeScript
Visual Studio Code
Claim NEO and update features and information
Claim NEO and update features and information
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Claim TraceRoot.AI and update features and information