Alkemi announced the launch of DataLab, a first-of-its-kind AI workspace that gives every employee – from marketing managers to finance leads – instant answers from their data, without relying on technical knowledge, analysts, or risky uploads to public AI tools. Users get insights for questions like:

• Marketing: "Which campaign lowered customer acquisition cost last quarter?"
• Sales: "Which regions close deals fastest and why?"
• Finance: "Where are margins shrinking? What's driving it?"

DataLab combines the clarity of business intelligence (BI) with the ease of AI conversation, ending the "BI backlog" and acting as a true thought partner. Users can ask questions in plain English, get answers in seconds, and continue the conversation through natural follow-ups.

"Everyone knows what it's like to wait on a report, only to realize that by the time it arrives, the question has changed," said Connor Folley, co-founder and CEO of Alkemi. "DataLab ends that cycle. It gives every team instant insight and a point of view they can trust."

A National Bureau of Economic Research study found that 81 percent of business professionals already use tools like ChatGPT for decisions, yet many outputs are incomplete or based on missing data. Some firms have also exposed IP by feeding proprietary files into public AI models. DataLab solves both problems by letting teams chat directly with governed data securely and at scale.

DataLab Delivers:

• Connection to real systems: Links directly to tools like Snowflake, Databricks, or Looker
• Transparent answers with a point of view: Traceable logic, sources, and insights that bridge the gap between analysis and action
• Security for your IP: Data stays local and is never used to train external models
• Enterprise scalability: Handles large, structured datasets consumer AI tools can't

Beyond internal data, DataLab also powers a new category of data access and monetization in which data providers can publish AI-ready data products that users can instantly discover, query, and integrate into their own workflows.