Datalinx AI Raises $4.2 Million Seed Round To Tackle Enterprise Data Readiness

As marketing teams race to adopt artificial intelligence, data readiness has emerged as one of the biggest blockers to real business impact. Datalinx AI is positioning itself at the center of that challenge with fresh funding and a clear focus on turning enterprise data into usable fuel for AI driven growth.

Datalinx AI announced it has raised 4.2 million dollars in Seed funding to help enterprise marketing and data organizations accelerate revenue through faster and more trusted access to data. The oversubscribed round was led by High Alpha, with participation from Databricks Ventures and Aperiam. Individual investors include Frederic Kerrest of Okta and 515 Ventures, Ari Paparo of Beeswax and Marketecture, and Arup Banerjee of Windfall Data, among others.

Founded by CEO Joe Luchs, a former executive at Amazon and Oracle, Datalinx AI describes itself as an AI data refinery. Its platform is designed to automate the discovery, cleaning, validation, and activation of commercial data so it can be used reliably across marketing, analytics, and AI initiatives.

The problem Datalinx is addressing is widespread. While enterprises are investing heavily in AI, 63 percent admit they lack the data management practices needed to support it. As a result, teams spend millions on external services or divert scarce technical talent toward manual data preparation, often ending up with fragile systems that break under real world use.

“You can’t reap the benefits of AI innovation on a foundation of broken data,” said Luchs. “We’re providing the first agentic data utility, designed to bring enterprises clean, actionable, and performant data products with minimal work and full transparency. By automating this complex, domain specific process, we allow enterprises to shift their focus from fixing data pipelines to growing their business through AI.”

Datalinx combines specialized AI agents, commercial ontologies, and a secure modular architecture to generate high fidelity data products with fewer technical dependencies. The company says this approach can deliver a ten times acceleration in time to value for marketing and data science teams.

Early enterprise adopters are already seeing results. Li Lin, vice president of engineering at Sallie Mae, said the company selected Datalinx as a co development partner to simplify and accelerate its data product lifecycle and has seen promising early outcomes.

Datalinx was also one of five companies selected for the Databricks AI Accelerator Cohort in 2025. According to Andrew Ferguson of Databricks Ventures, clean and high quality data remains the foundation of successful AI strategies, and Datalinx helps bridge the gap between marketing teams and data infrastructure.

“We see an opportunity for Datalinx to become the essential utility for any enterprise organization leveraging data for AI model development, advertising and marketing,” said Mike Langellier, partner at High Alpha. “Joe and his team have lived the data readiness problem at the highest levels of enterprise tech, and we’re thrilled to lead this round and partner with Datalinx as they build the definitive data infrastructure for the agentic era.”

With this funding, Datalinx AI plans to scale operations and meet rising enterprise demand. As AI adoption accelerates, Datalinx AI is betting that solving data readiness will become one of the most critical advantages for marketing organizations in the years ahead.