Data enrichment tools are broken: here's how to build a company database that isn't

Data enrichment involves enhancing existing records with external data, such as employee count or tech stack, and traditional enrichment vendors typically offer pre-compiled databases with fixed schemas, limiting flexibility and customization. The market is growing, driven by a 10.1% CAGR through 2030, yet traditional tools often fail to meet the dynamic and specific needs of modern data teams, who require a more flexible, real-time approach. Building a custom company database requires capabilities like discovery, extraction, and schema-flexible enrichment, which can be achieved through API-first approaches that leverage live web data, allowing for fresher and more customizable data with AI-native enrichment offering provenance through citations and confidence scores. This approach contrasts with static databases that lack flexibility and provenance, and while traditional tools may suffice for standard data needs, custom pipelines are recommended for non-standard fields and real-time updates, with a hybrid approach offering the best of both worlds for many teams.

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