Vivameda: We Build Large Scale Company Intelligence Assets
Historical business data that helps you understand companies, markets, growth trends, and workforce dynamics.
What We Do
We provide structured, historical company data aggregated at the company year level. Vivameda does not sell personal data or prospecting lists. All datasets are designed for business intelligence, investment research, and AI modeling. We also offer separate Commercial Outreach Datasets for data enrichment and B2B research.
The Dataset in Numbers
- 1.2 TB total data volume
- 250M+ historical source records processed into company level, company year intelligence tables
- 2010 to 2025 historical depth with company year snapshots
- 100+ countries and territories
Data Architecture
Core Layer: Company Level Business Intelligence
- Year by year headcount snapshots per company
- Year over year growth rates and trend data
- Role distributions and seniority breakdowns
- Clean, documented tables with consistent schemas
Data Scope
- Core datasets: company level, aggregated workforce intelligence only
- Commercial Outreach Datasets available separately for enrichment and B2B research
Infrastructure and Governance
- Dedicated Tier 3 data center in Helsinki, Finland. Full EU data residency.
- GDPR aligned processing with an EU legal basis (Legitimate Interest) and documented governance. Details available on request.
- Bulk Parquet or DuckDB delivery. Custom integration available upon request.
Use Cases
- Business Intelligence and Strategy: Headcount benchmarking, growth analysis, and competitive workforce insights
- Investment and Market Research: Workforce based due diligence, portfolio monitoring, and sector analysis
- AI Modeling and Advanced Analytics: Structured datasets for organizational forecasting and machine learning
- HR Tech and Workforce Platforms: Production ready workforce baselines for product development
About Vivameda
Vivameda is an EU registered data company providing production grade workforce intelligence infrastructure. Designed for analytical workflows, investment research, and machine learning pipelines.
Contact
Email: data@vivameda.com
Book a data discussion call
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