Here are some of the most promising generative AI startups in the data clouds space:
Vertex AI (Google Cloud): Vertex AI is a unified platform for machine learning development and deployment. It offers a variety of generative AI capabilities, including data preparation, model training and deployment, and synthetic data generation.
SageMaker Canvas (Amazon Web Services): SageMaker Canvas is a no-code machine learning platform that allows users to build and deploy machine learning models without writing any code. It includes a variety of generative AI capabilities, such as synthetic data generation and model retraining.
Databricks AutoML (Microsoft Azure): Databricks AutoML is a machine learning automation platform that helps users to build and deploy machine learning models more quickly and easily. It includes a variety of generative AI capabilities, such as synthetic data generation and feature engineering.
Scale AI is a startup that develops generative AI models that are more efficient and easier to deploy. Scale AI also offers a platform that makes it possible to deploy generative AI models on standard hardware.
Cohere is a startup that develops generative AI models that can be trained on smaller datasets. Cohere’s models can be used for a variety of tasks, such as text generation, translation, and code generation.
Synthesis AI is a startup that develops generative AI models that can create new data from existing information. Synthesis AI’s models can be used for a variety of tasks, such as creating synthetic data for training machine learning models and generating personalized content.
These are just a few of the many generative AI startups that are operating in the data clouds space. As generative AI technology continues to develop, we can expect to see even more innovative and disruptive solutions emerge from the startup community.
In addition to the above, here are some other promising generative AI startups in the data clouds space:
These startups are developing a variety of generative AI solutions for the data clouds space, such as synthetic data generation, text generation, image generation, and video generation.
Overall, the generative AI startup space is very dynamic and there are many promising startups that are developing innovative solutions for the data clouds space. It will be interesting to see how this space evolves in the coming years.