DataLane, a New York-based startup building an identity graph for local businesses, has raised a $22.5 million Series A financing round led by Amplify Partners, as the company aims to help enterprises more accurately find, verify, and reach offline merchants across the United States.
The round also included participation from Harry Stebbings, founder of 20VC, as well as Basis Set, Mischief, and other backers. With the new capital, DataLane said it has raised $27 million to date, including a seed round led by Basis Set.
DataLane is positioning its platform as an account intelligence layer for the offline economy, focused on an estimated 20 million-plus local businesses that often have fragmented or outdated digital footprints. The company argues that while sales and go-to-market software spending has grown into a massive category, many of the underlying business records for local merchants remain unreliable, creating friction for platforms and service providers trying to identify the right storefronts and decision makers.
At the center of DataLane’s product is a continuously updated identity graph that the company says is powered by more than two billion real-time data points. DataLane’s system pulls information from hundreds of sources, then uses AI to extract, deduplicate, verify, and connect records into a structured dataset that can be delivered into enterprise systems such as Salesforce and Snowflake. The goal is to provide organizations with a cleaner, unified view of which local businesses match their targeting criteria, along with verified ownership and operating details.
The company describes its offering as especially relevant for large enterprises that depend on local merchant adoption and coverage, including marketplaces, payments providers, and payroll and communications platforms. DataLane cited DoorDash, Square, Paychex, and Motorola as companies that need greater accuracy in identifying and engaging small businesses at scale.
DataLane said the Series A proceeds will be used to support product development, expand its AI and engineering teams, and fund broader go-to-market growth. The company’s founding team includes AI and data system leaders with experience from Meta, Uber, and Microsoft.
KEY QUOTES:
“With 99% of GTM tools designed for selling to office workers, companies have been left with broken systems for reaching local businesses,” said David Patterson-Cole, co-founder and CEO of DataLane. “The challenge has never been a lack of information; it’s that the data was too messy for traditional systems to interpret. Step changes in entity resolution capabilities allowed us to build an AI engine capable of transforming messy local business data into a structured dataset that gives enterprises real-time clarity on where and how to grow.”
David Patterson-Cole, Co-Founder and CEO, DataLane
“At DoorDash, we are committed to serving the unique needs of businesses in local communities,” said Jack Momeyer, Senior Director at DoorDash. “DataLane’s capabilities ensure we quickly and efficiently engage the local businesses that will benefit most from our solutions. We’re excited to work together to help merchants across the United States reach new customers with DoorDash.”
Jack Momeyer, Senior Director, DoorDash
“We’ve backed some of the most transformational data and AI companies over the past decade, including Datadog, dbt, Hightouch, and Temporal. We’re excited to continue that trend by leading DataLane’s Series A,” said Mike Dauber, General Partner at Amplify Partners. “DataLane’s secret sauce is in their ability to create a proprietary data layer that maps the tens of millions of local businesses in the US.”
Mike Dauber, General Partner, Amplify Partners
