There are economies everyone builds for, and then there is the one everyone pretends is too messy to touch. ~20M local businesses. ~43% of US GDP. Zero tolerance for bad data. DataLane looked at the offline economy and said the quiet part out loud, if this market feels invisible, that is not a demand issue, it is a data failure. And data debt always compounds with interest.
Founded in 2023 and operating out of Chelsea in NYC, DataLane, legally TaskGenie Inc. doing business as DataLane, is building infrastructure most GTM tools were never designed to handle. This is not about office workers with polished LinkedIn profiles. This is restaurants, franchises, autoshops, healthcare practices, beauty businesses, the operators who do not live online but still buy software. The platform maintains a real-time identity graph covering 20M+ local businesses, ingesting 2B+ datapoints daily from 1,000+ online and offline sources.
David Patterson-Cole and Ganesh Thirumurthi earned their scars early. Before DataLane, they built Potluck together in college, trying to help mom and pop restaurants survive delivery economics stacked against them. What broke them was not distribution, it was data. Wrong addresses. Missing owners. Duplicate locations. Accuracy hovering at 30–40%, which in sales terms is just expensive guesswork. So they built the system they wished existed, grounded in probabilistic ML, LLMs, and an almost unhealthy obsession with entity resolution.
That obsession compounds fast. DataLane physically digitizes government record books most companies will not touch, maps franchise hierarchies, tracks openings and closures in real time, and delivers 80%+ accuracy with ~70% mobile coverage for decision makers. DoorDash increased meetings booked by 59%. Restaurant365 moved connect rates from 11% to 29%. ShopMonkey cleared 80%. Olo tripled SDR connect rates while cutting research time by 20%. When DoorDash, a company famous for building internal data systems, chooses to buy instead, the signal is not subtle.
That signal just got louder. DataLane closed a $22.5M Series A led by Amplify Partners, with participation from Harry Stebbings, Basis Set Ventures, and Mischief Ventures, bringing total funding to $27M. The capital is going straight into product, AI and engineering, and expanding GTM reach across industries that operate offline but buy online.
This is not about selling data. It is about restoring trust between sellers and the real economy. When the identity layer works, everything above it moves faster, cleaner, cheaper. DataLane is not chasing noise. It is building lanes through it, one verified business at a time, and the offline economy finally has a map worth following.
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