New Alkemi Tool Helps Data Owners Monetize

In Seattle, Alkemi has announced the launch of DataLab for Data Providers, an AI-native platform on which companies can publish interactive, conversational demos of their datasets without exposing raw data or intellectual property.

Alkemi was founded by CEO Connor Folley and CTO Maxwell Folley, and rolled out its core DataLab product in October. Users can ask questions in plain English, get answers in seconds, and continue the conversation through natural follow-up. Questions might include things like 'Which campaign lowered customer acquisition cost last quarter?', 'Which regions close deals fastest and why?', and 'Where are margins shrinking and what's driving it?'

The new addition promises data providers a faster, safer path to revenue and a means of distributing their data directly into the fast-growing AI economy. Research from McKinsey suggests that around two fifths of companies now sell data as part of their business model, but many struggle to demonstrate its value to prospects.

Users can instantly publish AI-native demos from Snowflake, BigQuery, Databricks or CSV, with no engineering needed; showcase their value conversationally, with buyers exploring data in plain English; protect their IP with secure, inference-only architecture that never transfers raw files; reach AI systems including ChatGPT and Claude via MCP-ready access; and monetize their data with storefronts, paywalls, and consumption-based pricing.

Connor Folley (pictured) comments: 'Data providers have the product the AI market is starving for, but legacy sales workflows keep that value locked behind engineering cycles, static files, and long evaluations. Now we finally have a direct, safe bridge across data providers, enterprise buyers, and AI systems. It's a foundational shift in how the data economy will work going forward.'

Web site: www.alkemi.ai .