The Baltic states have some of the most advanced digital government infrastructure in the world, but accessing this data programmatically remains challenging. Each country has different systems, different APIs, and different access requirements.
Estonia's e-Business Register is the most accessible. They provide a well-documented API with reasonable rate limits. The data is comprehensive and generally accurate. The main challenge is handling the Estonian language in company names and addresses.
Latvia's Lursoft has historically been the primary source for Latvian company data, though they've recently improved their public API offerings. The data model differs significantly from Estonia's, requiring careful mapping to achieve consistency.
Lithuania's Register Centre provides official data but with more restrictive access policies. Building reliable data pipelines requires combining official sources with supplementary data from other providers.
When we built Arikaart, our Baltic company intelligence platform, we learned that data consistency was the hardest problem. The same company might appear with different name variations, different address formats, and different identifier schemes across registries.
Our solution was to build a sophisticated entity resolution system that could match records across registries despite these inconsistencies. This involved natural language processing for name matching, geocoding for address normalization, and graph-based approaches for identifying corporate relationships.