Vivameda

About

Vivameda builds workforce intelligence infrastructure that turns decades of organizational history into structured, AI-ready data.

Our core asset is a longitudinal company-year panel covering over 4 million companies across 100+ countries, with 48 million observed records spanning 1950 to 2020. Each row captures a company in a single year — headcount, role mix, capability composition, growth signals, and tenure dynamics — building a continuous picture of how organizations actually scale, contract, and recover across seventy years of economic regimes.

This data was historically priced for and licensed to systematic quant funds. We built it for a different audience: AI labs and AI-native companies training models that need to reason about companies, investment research teams looking for alternative data signal, and academic researchers studying organizational evolution.

From the core infrastructure, we release curated intelligence datasets in three product tiers:

Workforce Intelligence, Landscape Intelligence, and Workforce and Capability Intelligence — each tuned to a different depth of use case.

Delivery is flexible: CSV and Parquet flat files for one-time licenses.

Our buyers use Vivameda for foundation model pre-training, fine-tuning corpora, evaluation benchmarks, ground-truth anchoring for agent systems, alternative data signal in systematic strategies, and longitudinal context for M&A diligence.

The dataset terminates at 2020 by design. This is a feature, not a limitation: it provides a stable, reproducible historical training corpus that does not drift between training runs.

For workflows that prioritize reproducibility and historical depth over current-quarter recency, that boundary matters.

Vivameda is built for the long memory layer of AI — the seventy-year arc that public web data does not contain.