If you're a domain expert who wants to participate in the machine learning process but don't have data skills, PI.EXCHANGE is a good option. The service uses AI & Analytics Engine to create predictive machine learning models without programming, relying on an end-to-end ML pipeline for data preparation, model development and deployment. It covers a variety of machine learning problem types and industries, with a range of pricing options for different needs, including a 14-day free trial.
Another option is DataRobot AI Platform, which earned a leader position in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. It marries generative and predictive workflows so customers can rapidly develop and deploy AI models. Among its advantages are enterprise monitoring and control, full visibility, and deep ecosystem integration with many cloud environments and systems, which makes it a good choice for teams that want to accelerate their AI work.
If you want to manage and optimize large language models (LLMs), Humanloop is a collaborative sandbox for developers, product managers and domain experts. It includes a collaborative prompt management system with version control, an evaluation and monitoring tool for debugging, and tools to integrate private data and fine-tune models. Backed by companies like Athena and Duolingo, it's good for speeding up the development of AI features.
Last, DataChat is a no-code generative AI service that's designed to turn complex data into useful information without requiring programming skills. Its interface is modeled on tools you're likely already familiar with, including spreadsheets and chat software, so you can ask questions and get data analysis in chat boxes and spreadsheets. It automates data preparation, exploration and modeling, so it's good for data scientists, analysts and business users who need quick and confident decision-making tools.