If you're looking for a platform to automate and optimize AI processes visually, Dataloop could be the ticket. It's designed to handle data curation, model management, pipeline orchestration and human feedback to speed up AI application development. The platform can handle a variety of unstructured data types and has automated preprocessing, model management and pipeline orchestration that lets you visualize and automate processes. It's designed to help you collaborate and speed up development, with strong security controls and a broad range of tools and integrations with popular cloud platforms.
Another contender is Obviously AI, a no-code AI platform for automating data science workflows. It lets you build and deploy machine learning models without a lot of programming, and it's good for a variety of use cases like classification, regression and time series forecasting. The platform offers one-click deployment, automated model monitoring and real-time REST APIs for integration and visualization. It also integrates with tools like Zapier, Airtable, Dropbox and Salesforce so you can more easily build AI models into your existing workflow.
Synthflow AI is another interesting option, focusing on data workflow optimization. It automates the integration, transformation and processing of data from different sources, letting data engineers and scientists focus on higher-level work. The platform includes automatically generated pipelines and real-time data quality checks that can dramatically reduce costs and speed up data processing jobs.
If you prefer something more interactive, check out Jeda.ai, an all-in-one generative AI visual workspace. It lets you create, visualize and analyze data to turn ideas into beautiful visuals and strategic insights. It's got features like visual designs, strategic data analysis and visual document insights, so it's good for a broad range of people from business analysts to product managers and engineers.