Every company has a story. We have the data.
If you're building AI on company data in 2026, this is the training set you're missing.
What We Do
Vivameda provides longitudinal workforce intelligence built as ground-truth training data for AI models that need to understand companies. We aggregate observed company-year records, role and skill-level signals, and decades of organizational history into structured datasets designed for analytical workflows, investment research, and machine learning pipelines. Vivameda does not sell personal data.
The Dataset in Numbers
- 1.2 TB total data volume
- 48M+ observed company-year records
- 4.2M+ companies across layers
- 1.8B+ skill-level signals
- 90%+ signal coverage
- 70+ years of historical depth
Why AI Models Get Companies Wrong
AI Hallucinates Company History
Language models invent founding dates, headcount, and milestones because the underlying training data is sparse, contradictory, and dominated by present-tense web copy.
Snapshots Miss the Story
Most company datasets capture a single moment in time. Without longitudinal observations, models cannot reason about growth, contraction, pivots, or organizational trajectory.
No Model Understands Workforce Structure
Headcount alone does not describe a company. Without role mix, seniority distribution, and skill-level signals, AI cannot distinguish a research lab from a sales organization.
Training Data Has a Company-Shaped Hole
The open web has billions of words about companies and almost no structured ground truth. Vivameda fills that gap with observed, documented, machine-readable records.
Use Cases
- AI Modeling: Ground-truth training and evaluation data for company-aware models
- Investment Research: Workforce-based due diligence, portfolio monitoring, and sector analysis
- Business Intelligence: Headcount benchmarking, growth analysis, and competitive workforce insights
- 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 for analytical workflows, investment research, and machine learning pipelines.
Contact
Email: data@vivameda.com
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