Best AI Data Analytics Tools for Webflow
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Compare the Top AI Data Analytics Tools that integrate with Webflow as of October 2025
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This a list of AI Data Analytics tools that integrate with Webflow. Use the filters on the left to add additional filters for products that have integrations with Webflow. View the products that work with Webflow in the table below.
What are AI Data Analytics Tools for Webflow?
AI data analytics tools are AI-powered software tools designed to analyze large datasets and identify patterns. They can be used for a wide range of tasks such as predicting customer demand, detecting fraud, or spotting trends in sales data.These tools typically use machine learning algorithms that enable them to adjust their predictions and recommendations over time.They also tend to be integrated with common business systems such as ERP or CRM software. Compare and read user reviews of the best AI Data Analytics tools for Webflow currently available using the table below. This list is updated regularly.
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1
Velvet
Velvet
Capture real-time data from your database, 3rd-party tools, and events. Get an analytics database per workspace and a table per source. Write complex queries using AI and save them as API endpoints. Track movement over time or leverage queries directly in your product. Spend more time building features and less time building reports. Use Velvet to facilitate a faster product development workflow. Build AI-assisted visualizations to track movement over time. Target features at subsets of users or surface data in your product. Ingest any data source and query across tables in milliseconds. Use Velvet as your daily sidekick to uncover data insights, keep internal stakeholders aligned, and build new features using shared building blocks.Starting Price: $39 per month -
2
Incredible
Incredible
Incredible is a no-code automation platform powered by agentic AI models designed for real work across applications, letting users create AI “coworkers” that perform complex, multi-step workflows merely by describing tasks in plain English. These AI agents integrate with hundreds of productivity tools, CRMs, ERPs, email systems, Notion, HubSpot, OneDrive, Trello, Slack, and more to perform actions like content repurposing, CRM health checks, contract reviews, and content calendar updates without writing any code. Its architecture supports parallel execution of hundreds of actions with low latency and handles large datasets efficiently, dramatically reducing token limitations and hallucinations in data-critical tasks. The latest model, Incredible Small 1.0, is available in research preview and via API as a drop-in alternative to other LLM endpoints, offering high-precision data processing, near-zero hallucination, and enterprise-scale automation.
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