This repository provides a comprehensive survey of AI software startups, categorized by technical domain and application area. It aims to offer insights for AI entrepreneurs, researchers, and investors by detailing company funding, technological focus, and geographical presence, with a particular emphasis on open-source initiatives.

How It Works

The project meticulously lists AI startups, classifying them based on their core technology (e.g., NLP, Computer Vision, Infrastructure) and application sectors (e.g., Healthcare, Finance, Retail). Each entry includes funding information (latest round), and a special notation ("!" or "#") indicates if the company is open-source or based in Israel, respectively. This structured approach allows for a granular understanding of the AI startup landscape from a technical and market perspective.

Quick Start & Requirements

• Access: No installation required; data is presented directly in the README.
• Requirements: A web browser and an internet connection to view the README.
• Resources: Minimal; primarily for reading and analysis.
• Links:
  • MLOps specific section: SSAIS—MLOps

Highlighted Details

• Extensive categorization covering AI infrastructure, NLP, Vision, Audio, Graph, Optimization, and various industry-specific applications.
• Funding data is provided for many companies, offering a snapshot of market investment.
• Explicitly flags open-source companies with "!" and Israeli companies with "#".
• Includes a dedicated section for MLOps startups.

Maintenance & Community

• The project is maintained by Warren Wen (耀途资本, glory-ventures).
• Contact: warrenwen@glory-ventures.com
• The README indicates a commitment to continuous updates.

Licensing & Compatibility

• The repository itself does not specify a license.
• Compatibility for commercial use or closed-source linking would depend on the licensing of the individual companies listed, which is not detailed here.

Limitations & Caveats

Funding data is sourced from venture capital databases and may not always be accurate. The project focuses on startups and may not cover established AI companies or research institutions. The "!" and "#" notations are specific to the project's internal classification and may not be exhaustive.