Software:List of proprietary artificial intelligence software
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This is a list of proprietary artificial intelligence software, which is proprietary software used for artificial intelligence (AI), including chatbots, generative artificial intelligence, machine learning, natural language processing, computer vision, speech synthesis, and AI-assisted software development, and is in contrast to open-source artificial intelligence software.[1][2][3][4]
AI assistants and chatbots
Large language models
- Chinchilla
- Claude
- GLM 5.3
- Gemini
- GPT-3
- GPT-4
- GPT-4o
- GPT-5
- GPT-5.3-Codex
- LaMDA
- Muse Spark
- OpenAI o1
- PaLM
- Wu Dao[5]
LLM inference software
- LM Studio
AI model routing and API platforms
- OpenRouter
AI-assisted software development
- Amazon Q
- Amp
- Claude Code
- Cody
- Codex
- Cursor
- Devin AI
- GitHub Copilot
- Replit
- Tabnine
AI agents
- Manus
- OpenAI Operator
Image generation and editing
- Adobe Firefly
- DALL-E
- Ideogram
- Imagen
- Leonardo.ai
- Midjourney
- Recraft
Video generation
Speech and audio
Music generation
Writing and language
Search and research
- Glean
- Google AI Overviews
- NotebookLM
Machine learning platforms
- Amazon SageMaker[6]
- Azure Machine Learning
- Google Cloud Vertex AI
- IBM Watsonx[7]
- MATLAB[8]
Computer vision
- Amazon Rekognition
- Google Cloud Vision API
Autonomous vehicles
Legal
- Harvey
Game-playing systems
See also
- Applications of artificial intelligence
- Comparison of deep learning software
- List of artificial intelligence algorithms
- List of artificial intelligence projects
- Lists of open-source artificial intelligence software
- Open weights
References
- ↑ PYMNTS (February 4, 2025). "Open-Source vs Proprietary AI: Which Should Businesses Choose?". https://www.pymnts.com/news/artificial-intelligence/2025/open-source-vs-proprietary-ai-which-should-businesses-choose/.
- ↑ Nguyen, Dieu Anh (9 January 2025). "Open Source vs. Proprietary AI: A Comprehensive Guide to Making the Right Choice". https://smartdev.com/open-source-vs-proprietary-ai/.
- ↑ "Open-Source vs Proprietary AI Models: Which Is Better for AI Engineers?". 8 July 2026. https://www.usaii.org/ai-insights/open-source-vs-proprietary-ai-models-which-is-better-for-ai-engineers.
- ↑ Duranton, Sylvain (7 July 2025). "What Leaders Need To Know About Open-Source Vs. Proprietary Models". https://www.forbes.com/sites/sylvainduranton/2025/07/07/what-leaders-need-to-know-about-open-source-vs-proprietary-models/.
- ↑ Eastwood, Brian (20 January 2026). "AI open models have benefits. So why aren’t they more widely used?". https://mitsloan.mit.edu/ideas-made-to-matter/ai-open-models-have-benefits-so-why-arent-they-more-widely-used.
- ↑ Tozzi, Chris (13 March 2025). "Compare Google Vertex AI vs. Amazon SageMaker vs. Azure ML". https://www.techtarget.com/ai/tip/Compare-Google-Vertex-AI-vs-Amazon-SageMaker-vs-Azure-ML.
- ↑ "IBM takes on AWS, Google, and Microsoft with Watsonx". 10 May 2023. https://www.infoworld.com/article/2338456/ibm-takes-on-aws-google-and-microsoft-with-watsonx.html.
- ↑ "Machine Learning in MATLAB". The MathWorks, Inc.. https://www.mathworks.com/help/stats/machine-learning-in-matlab.html.
