> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.coactive.ai/latest/docs-guides/introduction/why-coactive/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.coactive.ai/_mcp/server.

Building the capabilities to work with unstructured visual data requires cross-functional collaboration across teams proficient in:

* **Data Engineering** to process large volumes of visual data.
* **Machine Learning** for classification.
* **Data Science** to make sense of the results.
* **Software Engineering** to serve the results.

Beyond the large talent and time resources needed, such a solution requires a high degree of coordination and hand-offs.

Using coactive, you can immediately begin to drive value from your visual data using our [web UX](https://app.coactive.ai/) or programmatically using our [REST API](https://docs.coactive.ai/api-reference).

> **Info**
>
> Interested in getting started with coactive? [Request a demo](https://coactive.ai/contact) from our sales team.