AI & ML Startup Landscape Overview

This repository provides an automatically generated, comprehensive list of 2330 AI and Machine Learning startups across 36 global cities. It serves as a data-driven resource for researchers and industry professionals seeking an overview of the AI startup landscape, categorized by specific technological domains.

How It Works

The project leverages an automated process to compile startup data, categorizing entities by their primary AI/ML focus areas such as Computer Vision, Natural Language Processing, Robotics, and Medicine. This approach aims for broad coverage across numerous cities and domains, facilitating a wide-ranging survey of the market.

Quick Start & Requirements

This is a data repository and does not require installation or execution.

Highlighted Details

• Features 2330 startups.
• Spans 36 distinct cities globally.
• Organizes companies into 12 AI/ML categories, including Computer Vision, NLP, Robotics, Medicine, and Self-Driving Cars.
• Includes details such as company name, website, LinkedIn, founding year, employee count, follower count, funding round, and industry.

Maintenance & Community

No specific details regarding maintenance or community engagement are provided in the README.

Licensing & Compatibility

No licensing information is specified in the README.

Limitations & Caveats

The primary limitation is that the list is "built automatically, hence unreliable." It is also explicitly stated as "not vibe-coded," indicating a lack of subjective quality assessment or curated filtering beyond the automated data collection.