DataLane Raises $22.5M Series A to Build AI-Powered Identity Graph for Local Businesses

DataLane, a New York–based startup building an identity graph platform designed to help enterprises find, verify, and engage local businesses, has successfully raised $22.5 million in a Series A funding round that will fuel product development, team growth, and go‑to‑market expansion. This latest financing brings the company’s total capital raised to approximately $27 million since inception, reflecting strong investor interest in solving the long‑standing data challenges of the offline economy.

The Series A round was led by Amplify Partners, a venture capital firm known for backing transformational data and AI companies. Participation came from Harry Stebbings, founder of 20VC, as well as Basis Set, Mischief, and other investors who have helped support DataLane’s growth trajectory. With this backing, the company is positioning its identity graph as a foundational data layer for enterprises selling into the local economy.

DataLane was founded with the vision of building what it describes as a “LinkedIn for the offline economy,” a comprehensive and continuously updated identity graph of local businesses across the United States. The problem the company aims to solve is a persistent one: while there are more than 20 million local businesses in America accounting for a significant share of the nation’s GDP, many of these businesses still operate with fragmented, outdated, or inaccurate digital information that makes it difficult for sales, marketing, and growth teams to find and engage them effectively.

At the core of DataLane’s platform is an AI‑powered engine that autonomously extracts, deduplicates, verifies, and connects data from hundreds of sources, creating a structured and real‑time understanding of local business identities. The company’s identity graph is built from more than two billion real‑time data points, giving enterprises a unified and highly accurate dataset they can integrate directly into systems like Salesforce and Snowflake for their sales and account intelligence workflows.

DataLane’s offering is designed for large enterprises and high‑growth companies that rely on accurate local business data to drive adoption of their products and services. This includes companies in categories such as marketplaces, payments, payroll, communications, and logistics, where reaching the right decision‑maker at a local business can directly influence revenue and growth outcomes. Clients and partners cited in company coverage include well‑known names like DoorDash, Square, Paychex, and Motorola, which use DataLane’s platform to inform more targeted and efficient outreach strategies.

CEO and co‑founder David Patterson‑Cole has articulated that while digital data for office workers and corporate entities is abundant and accessible to modern go‑to‑market tools, the local business segment has been neglected due to the messy and inconsistent nature of its data. DataLane’s approach, driven by advances in AI and entity resolution capabilities, seeks to transform that raw, fragmented information into a reliable resource that companies can use confidently in strategic decision‑making and customer engagement.

The fresh capital from the Series A will be used to accelerate the development of DataLane’s product suite, expand its engineering and AI teams, and support broader go‑to‑market initiatives aimed at scaling adoption of its identity graph. As enterprises increasingly seek data‑driven insights to inform expansion and customer acquisition strategies, accurate representation of the offline economy becomes essential—a gap DataLane is aiming to fill.

Founded by AI and data system veterans with experience from companies like Meta, Uber, and Microsoft, DataLane combines deep technical expertise with a clear mission to improve how businesses understand the local economy. The company’s Series A funding reflects an investor belief that local business data, traditionally unreliable and messy, can become a strategic asset with the right technology and intelligence layer in place.

With its identity graph technology and new funding in place, DataLane is poised to continue developing tools that help enterprises overcome long‑standing data gaps in the local business segment. As the startup scales, it aims to further bridge the divide between AI‑driven insights and real‑world commercial workflows, enabling companies to better connect with local businesses and unlock new opportunities for growth.