Datalane

About Datalane

Datalane is a New York-based technology company founded in 2023 by David Patterson-Cole and Ganesh Thirumurthi. The company operates as a go-to-market data engine, specializing in providing accurate identity and contact information for local, offline, and deskless businesses across the United States. The founding team, which includes AI leaders from Meta, Uber, and Microsoft, developed the platform to address the challenge of inaccurate and messy data for the millions of businesses that do not have a significant digital presence.

The core of Datalane's service is a proprietary, continuously updated identity graph that maps over 2 billion real-time data points from more than 1,000 public, offline, and proprietary sources. Its AI engine, utilizing advanced entity resolution models and LLMs, extracts, deduplicates, and verifies this information to create a structured, clean dataset. This allows clients to receive verified owner information, accurate addresses, and operational details, which can be integrated directly into their CRM and data warehouse systems like Salesforce and Snowflake. The platform aims to serve as a 'LinkedIn for the offline economy,' helping enterprises find, verify, and reach decision-makers at local businesses with high precision.

The company's business model is subscription-based (SaaS), targeting enterprise and small to medium-sized businesses in sectors such as healthcare, retail, hospitality, restaurants, home services, and beauty. It generates revenue by providing this structured intelligence to large enterprises like DoorDash, Square, and Paychex, which rely on reaching local merchants for their growth. By providing more accurate mobile numbers and contact data, Datalane helps its clients significantly improve connect rates and sales team efficiency. In December 2025, Datalane announced it had raised a $22.5 million Series A round led by Amplify Partners, bringing its total funding to $27 million. This capital is intended to support product development, expand the AI and engineering teams, and fuel go-to-market expansion.