Databricks Assistant Evolves with Powerful New AI Data Science Agent

Databricks has unveiled the Data Science Agent, a significant evolution of its Databricks Assistant, designed to help enterprises move beyond copilots and chatbots toward fully autonomous data agents.

Since its launch two years ago, the Assistant has been widely adopted by data practitioners for generating SQL and Python code, resolving errors, and offering contextual guidance.

The new Data Science Agent extends these capabilities by reasoning, planning, and executing complex multi-step processes directly within Databricks Notebooks and the SQL Editor.

"It is the first of a new generation of AI data agents available by selecting Agent Mode in the Assistant, and it will begin rolling out to customers in the coming days," Databricks said.

The agent supports higher-level tasks, including exploratory data analysis, training and evaluating machine learning models, diagnosing and fixing errors, summarising results, and identifying relevant data within Unity Catalog.

Its design ensures transparency and governance, leveraging Databricks’ unified platform for policies, lineage, and business semantics.

“The Data Science Agent bridges this gap by combining the reasoning power of AI models with the Databricks Data Intelligence Platform, ensuring results that are both reliable and context-aware,” the company added.

It is reportedly raising a new Series K funding round that pushes its valuation past the $100 billion mark—just months after closing a $10 billion Series J and securing a $5.25 billion debt facility.