AI Platforms Listing

Curious to know what AI platforms are out there?

We are too – and boy are there a lot!

Not finding a platform on this list? Submit one to be added.

  1. Google AI Platform, Gemini: Provides a comprehensive suite of AI tools for various applications, integrating seamlessly with other Google services.
  2. TensorFlow: An open-source machine learning framework developed by Google, known for its flexibility and extensive community support.
  3. Microsoft Azure AI: A robust platform offering scalable AI solutions, integrating well with other Microsoft services and tools.
  4. IBM Watson: Known for its advanced natural language processing capabilities and AI-powered solutions for various industries.
  5. Amazon SageMaker: A fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
  6. DataRobot: Focuses on automating the end-to-end process of building, deploying, and maintaining AI models.
  7. H2O.ai: Offers an open-source AI platform that focuses on machine learning and predictive analytics.
  8. Databricks: Provides a unified analytics platform, known for integrating data engineering, machine learning, and analytics.
  9. Norn: The first software system to have independent motivation based on human-like emotions, with the sum of its experience stored in a dynamic, growing, and evolving graph database.
  10. Infosys Nia (now edgeverve): A comprehensive AI platform that helps in managing data, developing AI models, and automating tasks.
  11. Wipro HOLMES: An AI and automation platform that provides cognitive solutions to manage business processes.
  12. NVIDIA AI: Pioneers in AI with their GPUs, providing robust solutions for AI development and deployment.
  13. BigML: Offers machine learning as a service, focusing on providing user-friendly interfaces and tools for predictive modeling.
  14. OpenAI API: Provides powerful generative AI tools like ChatGPT for various applications in natural language processing.
  15. SymphonyAI: Utilizes topological data analysis for advanced machine learning and AI applications in addition to
    other functionality which addresses core business challenges with vertical AI SaaS purpose-built to provide valuable insights, recommendations, and what-if analysis
  16. Dataiku: Centralizes AI tools and processes, making it easier for businesses to implement AI solutions.
  17. Alteryx: Known for its data analytics capabilities, providing tools for predictive analytics and data transformation.
  18. C3.ai: An enterprise AI platform that accelerates digital transformation with pre-built and configurable AI applications.
  19. Hugging Face: While technically not an AI platform, Hugging Face provides a community of individuals, models, datasets and more to help build and grow AI learning models.
  20. SAS Viya: An analytics platform that combines data management, analytics, and AI for enterprise use.
  21. UiPath: Focuses on robotic process automation (RPA), integrating AI to automate repetitive tasks.
  22. Blue Prism: Another key player in RPA, enhancing automation with AI capabilities.
  23. Aporia: Provides tools for monitoring machine learning models, ensuring they perform as expected in production environments.
  24. Infrrd: Uses machine learning to automate data extraction and processing, particularly for complex documents.
  25. Petuum: Offers Symphony, an AI platform that simplifies the deployment of AI models.
  26. Tencent Cloud AI: Tencent’s AI platform, known for its applications across various industries, including advertising and fintech.
  27. PredictionIO: An open-source machine learning server built on Apache Spark, used for creating predictive engines.
  28. Receptiviti: Leverages social psychology and AI to provide insights into human behavior, enhancing decision-making and interaction optimization.
  29. Adobe Firefly: Firefly models and serves power generative AI features in Adobe creative apps.
  30. HowSo: AI you can audit, explain, trust, and retrain. Advanced performance meets groundbreaking explainability.

These platforms provide diverse functionalities, catering to different needs from enterprise solutions to specialized applications in healthcare and natural language processing​ (The CTO Club)​​ (Meet Motion Calendar)​​ (PAT Research)​​ (Big Data Analytics News)​​ (@knowledgehut)​.

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