Compare the Top AI Development Platforms that integrate with Heap as of July 2025

This a list of AI Development platforms that integrate with Heap. Use the filters on the left to add additional filters for products that have integrations with Heap. View the products that work with Heap in the table below.

What are AI Development Platforms for Heap?

AI development platforms are tools that enable developers to build, manage, and deploy AI applications. These platforms provide the necessary infrastructure for the development of AI models, such as access to data sets and computing resources. They can also help facilitate the integration of data sources or be used to create workflows for managing machine learning algorithms. Finally, these platforms provide an environment for deploying models into production systems so they can be used by end users. Compare and read user reviews of the best AI Development platforms for Heap currently available using the table below. This list is updated regularly.

  • 1
    Ikigai

    Ikigai

    Ikigai

    Model improvement and incremental model updates scenario analysis through simulations using historical data. Collaborate easily with data governance, access management, and version control. Ikigai’s out-of-the-box integrations make it easy to work with all kinds of tools that are already part of your workflows. Plug into almost any data source you can think of with Ikigai’s 200+ connectors. Want to push your ML pipeline to a website or dashboard? Just integrate directly using Ikigai’s web integrations. Use triggers to run data synchronizations and retrieve updates each time you run a data automation flow. Hook into your own APIs, or create APIs for your own data stack to integrate seamlessly with Ikigai.
  • Previous
  • You're on page 1
  • Next