Predictive private-market intelligence powered by decades of company evolution, live business signals, and your proprietary investment or commercial thesis.
| Company | Industry | Headcount | Growth | Primary Role | Top Capability |
|---|---|---|---|---|---|
| Apple | Technology | 164,000 | +2.4% | Engineering | 58.2% |
| JPMorgan Chase | Financial Services | 309,926 | +1.8% | Finance | 52.7% |
| Amazon | E-Commerce | 1,525,000 | -3.1% | Operations | 61.4% |
| Tesla | Automotive | 140,473 | +4.6% | Engineering | 49.3% |
| Goldman Sachs | Financial Services | 49,100 | -1.2% | Finance | 55.8% |
4M+ Companies
400M+ Profiles
1.8B+ Skills
70 Years of Ground Truth Knowledge
What We Do
Vivameda turns decades of company and workforce evolution into a private predictive intelligence layer.
We match historical business patterns with current company signals to identify investment opportunities, portfolio risks, strategic shifts, and high-probability commercial events.

What We Solve
Four gaps in conventional company data, and how predictive intelligence closes them.
Most AI models guess from generic web content. Vivameda grounds predictive intelligence in structured company and workforce history.
Current data shows where a company is today. Our longitudinal model shows how it got there and what it signals for the future.
Most tools deliver static contacts and firmographics. Vivameda surfaces movement, capability shifts, and event driven signals.
Every investor, operator, and market has a different lens. Vivameda builds a private knowledge base around your exact case.
Differentiation
The Solution
Step 1
Profile the companies, sectors, markets, and events that matter to your investment or commercial thesis.
Step 2
Compare your thesis against decades of company evolution, workforce structure, and growth trajectories.
Step 3
Overlay current company, workforce, and market signals from live enrichment sources.
Step 4
Surface where change is happening, why it matters, and what the pattern implies next.
Step 5
Turn the intelligence layer into a private AI workspace for research, monitoring, and decision support.
Step 1
Profile the companies, sectors, markets, and events that matter to your investment or commercial thesis.
Step 2
Compare your thesis against decades of company evolution, workforce structure, and growth trajectories.
Step 3
Overlay current company, workforce, and market signals from live enrichment sources.
Step 4
Surface where change is happening, why it matters, and what the pattern implies next.
Step 5
Turn the intelligence layer into a private AI workspace for research, monitoring, and decision support.
Applications
Click a card to explore each use case
Identify companies, sectors, and events that matter before they surface in public data.
Train predictive models on structured company evolution, workforce patterns, and validated historical signals.
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Support investment research, market mapping, and company analysis with longitudinal workforce and structural evidence.
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