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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Factory Droid is an AI-powered software development platform built to help engineering teams automate and coordinate complex coding work. Created by Factory.ai, the platform gives developers a way to plan multi-step initiatives once and let autonomous Droids carry out the work in parallel. It is designed for workflows such as building features, completing migrations, refactoring code, improving systems, and managing larger engineering projects from start to finish. Factory Droid functions as a mission control layer for autonomous engineering, helping teams break work into coordinated tasks and monitor progress across agents. The platform is available through a CLI and also offers a Mac download option for users who want to start building locally. Enterprise teams can use Factory Droid to support secure and compliant AI development in regulated environments. The company provides solutions for financial services, healthcare, telecom, defense and national security, national labs, and SaaS companies. Its enterprise focus includes infrastructure, security, and deployment options suited to organizations with advanced governance needs. Factory Droid helps engineering teams increase output, reduce manual development burden, and ship software initiatives more efficiently.

Description

NEO functions as an autonomous machine learning engineer, embodying a multi-agent system designed to seamlessly automate the complete ML workflow, allowing teams to assign data engineering, model development, evaluation, deployment, and monitoring tasks to an intelligent pipeline while retaining oversight and control. This system integrates sophisticated multi-step reasoning, memory management, and adaptive inference to address intricate challenges from start to finish, which includes tasks like validating and cleaning data, model selection and training, managing edge-case failures, assessing candidate behaviors, and overseeing deployments, all while incorporating human-in-the-loop checkpoints and customizable control mechanisms. NEO is engineered to learn continuously from outcomes, preserving context throughout various experiments, and delivering real-time updates on readiness, performance, and potential issues, effectively establishing a self-sufficient ML engineering framework that uncovers insights and mitigates common friction points such as conflicting configurations and outdated artifacts. Furthermore, this innovative approach liberates engineers from monotonous tasks, empowering them to focus on more strategic initiatives and fostering a more efficient workflow overall. Ultimately, NEO represents a significant advancement in the field of machine learning engineering, driving enhanced productivity and innovation within teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Claude
OpenAI
Anthropic
Claude Opus 4.7
Claude Opus 4.8
Claude Sonnet 4.6
Docker
GLM-5.1
GPT-5.5
Gemini
Gemini 3.1 Pro
Gemini 3.5 Flash
Jupyter Notebook
Kimi K2.6
Meta AI
MiniMax M2.7
MiniMax M3
Model Context Protocol (MCP)
Ollama
Visual Studio Code

Integrations

Claude
OpenAI
Anthropic
Claude Opus 4.7
Claude Opus 4.8
Claude Sonnet 4.6
Docker
GLM-5.1
GPT-5.5
Gemini
Gemini 3.1 Pro
Gemini 3.5 Flash
Jupyter Notebook
Kimi K2.6
Meta AI
MiniMax M2.7
MiniMax M3
Model Context Protocol (MCP)
Ollama
Visual Studio Code

Pricing Details

$20/month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Factory.ai

Founded

2023

Country

United States

Website

factory.ai/

Vendor Details

Company Name

NEO

Country

United States

Website

heyneo.so/

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