Why SparkDBI Was Built
In 2023, Josh founded SparkDBI after watching sales and marketing teams consistently fail with contact data that looked comprehensive on paper but fell apart in practice. Bounce rates of 20-40% were accepted as normal. Lists sold as "verified" contained contacts who had left their companies years earlier. Healthcare marketers had no reliable way to reach physicians without risking compliance violations.
The core problem wasn't that good data didn't exist. Josh had seen it built at scale across multiple industry leaders. The problem was that the standard business model rewarded quantity over accuracy. The more records sold, the more revenue, regardless of whether those records actually worked. After two decades watching this from the inside, SparkDBI was the answer.
SparkDBI was built on a different principle: verify first, deliver second. Every contact goes through identity matching, active employment confirmation, and live inbox validation before it reaches a client. Records that don't pass are excluded, not delivered at a discount.
After 20+ years at D&B, Experian, ZoomInfo, and Meta, I knew exactly what was wrong with how data providers operated. Volume was rewarded. Accuracy was a secondary concern. SparkDBI was built to flip that model: verify first, deliver second, and stand behind every record with a real guarantee.