If you're looking for a no-code AI platform to automate data science work for training and deploying machine learning models, Obviously AI is worth a look. It automates data prep, model training and deployment, and can be used by people who don't have a lot of programming experience. It can handle a variety of use cases like classification, regression and time series forecasting, and integrates with tools like Zapier, Airtable, Dropbox and Salesforce. The service also comes with expert assistance from a dedicated data scientist and has a free tier, so it can be used by people at different levels.
Another strong contender is Dataiku, which is designed to make data a "core competency" for delivering business results. It has a feature-rich set of tools for data prep, machine learning, MLOps, collaboration and governance. Dataiku is good for teams in a variety of industries, and has a free edition for up to three people, as well as a 14-day free trial. It's been named a Leader in the Gartner Magic Quadrant for Data Science & ML Platforms.
Dataloop is another powerful no-code AI platform that handles data curation, model training and pipeline orchestration. It can be used to build AI applications using unstructured data like images, videos and text. Dataloop has features like automated preprocessing, embeddings for similarity detection and human feedback integration. It promises better collaboration, faster development and strong security, making it a good fit for a variety of roles within an organization.
For those who need a more flexible no-code/low-code option, Instill could be helpful. It automates data, models and pipelines for generative AI so teams can concentrate on iterating AI use cases. Instill can handle tasks like speech responses, webpage summarization and SEO article generation. With a drag-and-drop interface and open-source components, it's designed to be extensible and adaptable, with tiered pricing to accommodate different customers.