I'm finally happy to announce that Omni integration is live on Paradime.

Automating data engineering with AI agents requires having a shared context so that our agents can build data models and update semantics in a single workflow.

Speaking with the Omni team about how we can bring value to our joint customers across mid-market and enterprise accounts, it was a no-brainer.

With this integration, joint customers will have the Omni context in Paradime, including lineage, data catalog, and semantic code context all in a single place.

At Paradime, we've built our agents that can build and run data models, self-heal broken pipelines and automate tech debt work. Our agents spin up secure, and isolated sandboxes and then traverse across multiple code repos and systems to make connected and coordinated changes.

This is a big differentiator compared to closed apps like dbt Cloud™, where you only have dbt™ context compared to Paradime where the context spans the entire data platform.

For example, customers can use the Paradime MCP with the BI context from a single place and ask questions about Omni, analytics, and the code behind from a single, governed MCP endpoint.

Similarly, customers can use the Paradime agents to automate working on technical debt. As an example, customers are already building AI-first workflows to automate data modelling, metric creation, and semantic layer updates to take an agent-first approach to data operations.

So that anyone across the business can request new data that requires new data models and the whole system can then be built in an autonomous way. This brings automation to both doing data modelling and running data pipelines.

If you are exploring automating data engineering with agents, then please reach out to us or sign up for a free trial - we'd love to talk.