Datalinx, a NYC-based AI data refinery company, has raised $4.2 million in a seed funding round led by High Alpha.
The round also saw participation from Databricks Ventures, Berkeley Frontier Fund, and Aperiam, along with angel investors Frederic Kerrest, co-founder of Okta; Ari Paparo, founder and CEO of Beeswax and Marketecture; Arup Banerjee, founder and CEO of Windfall Data; and others.
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The company plans to use the funds to grow its operations and support the demand for AI-ready data infrastructure.
Datalinx’s success stems from its close integration with leading data and AI platforms such as Databricks. ‘The most effective AI strategies rely on clean, high quality data,’ said Andrew Ferguson, Vice President of Databricks Ventures. ‘By combining our AI tools with marketing, and advertising data models, Datalinx connects CMOs and their data teams seamlessly. Built-in AI automation helps organizations turn data into action faster. We’re excited to support Datalinx as they allow companies unlock the full value of their data.
Marketing and data teams at large companies are investing heavily in AI, but 63% admit they lack proper data management practices. Companies often spend millions on outside services or tie up technical teams in tedious work, only to end up with fragile systems that frequently fail. Datalinx streamlines and automates the discovery, cleaning, validation, and activation of commercial data, helping marketing and data science teams work faster and more reliably. Led by CEO and co-founder Joe Luchs, a serial entrepreneur and former Amazon and Oracle executive, Datalinx aims to make AI adoption easier by solving the persistent challenge of data readiness.
Datalinx, one of five companies selected for the first Databricks AI Accelerator Cohort in 2025, tackles this challenge by leveraging specialized AI agents, commercial ontologies, a secure, modular architecture, and AI-assisted tools to create high quality data products with minimal technical effort. This approach speeds time-to-value by 10 times while using far fewer resources.
“You can’t benefit from AI if your data is broken,” said Joe Luchs, CEO and co-founder of Datalinx. “We’ve created the first agentic data utility to give companies clean, actionable, and high-performing data with minimal effort and full transparency. By automating this complex process, businesses can focus on using AI to grow, instead of spending time fixing data pipelines.”
“As we grow our data and media products, we’re exploring how AI can better serve our members,” said Li Lin, VP of Engineering at Sallie Mae. “We chose Datalinx as our co-development partner to simplify and speed up data product creation. By automating time-consuming tasks, enabling natural-language data exploration, and embedding domain expertise, we’re already seeing promising results that could greatly speed up our go-to-market delivery.”
“We believe Datalinx can become the go-to utility for enterprises using data for AI, advertising, and marketing,” said Mike Langellier, partner at High Alpha. “Joe and his team deeply understand the data readiness challenges in enterprise tech, and we’re excited to lead this round, and support them in building the ultimate data infrastructure for the AI era.”
About DataLinx
Led by CEO Joe Luchs, Datalinx is an AI Data Refinery that transforms messy data into clean, reliable, and ready-to-use assets for marketing, advertising, and commerce. Installed directly in a customer’s data environment, Datalinx combines purpose built ontologies, context aware AI agents, and an AI-assisted workflow to deliver trusted data products faster, and more efficiently than alternatives. It powers analytics, personalization, media measurement, and more, all while maintaining data quality and governance. Datalinx is based in NYC and Austin—and we’re hiring.
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