Tabula

Tabula is a data enrichment engine designed specifically for go-to-market (GTM) teams, sales professionals, and growth marketers who need to find verified contact information at scale. The platform solves a common pain point: traditional single-source enrichment tools often miss a significant percentage of valid emails and phone numbers because they rely on only one provider. Tabula addresses this by implementing a "waterfall enrichment" approach that queries over 15 different data sources simultaneously or sequentially, automatically routing each lookup through the best provider available and stopping once a match is found. This multi-provider architecture can achieve up to three times higher email and phone find rates compared to using any single source alone. The core workflow starts with a user uploading a CSV file containing their target leads—names, company domains, or job titles. Tabula then processes each record by sending requests to its stack of integrated providers, which includes well-known services like Apollo.io, Hunter, Lusha, and Clearbit, among others. The system dynamically chooses the optimal provider based on factors like data freshness, coverage, and cost, and it only charges the user for contacts that are actually discovered and returned. This pay-per-found model eliminates wasted spend on incomplete or stale profiles. Beyond basic contact extraction, Tabula enriches each record with additional context: job titles, LinkedIn profiles, phone numbers, and verified email addresses. The enriched profiles are then presented in a clean, organized interface where users can preview, export, or further filter the data. For example, a search for "jeff@amazon.com" would return a profile containing Jeff Bezos' verified email, direct phone number, and LinkedIn U