Foundation Intelligence
Structured company evolution data designed for AI systems. Pre-engineered signals across growth, workforce, and capabilities, ready for model training, scoring, and prediction.
Move beyond static company data. Train on structured company evolution across time.
Train models on real company evolution patterns instead of static snapshots. Improve prediction accuracy for company growth, churn, and expansion using structured, temporal signals.
Foundation
Data Scale
~48M+
Company-year records
35
Structured columns
4.2M
Companies tracked
1950–2020
Time range
Global
Primary coverage
4-in-1
Signal layers
Observed data gets enriched with current headcount, skills, capabilities, and financial information
Overview
What It Is
A structured company-year dataset designed for AI use cases. Each row represents a company at a specific point in time, enriched with growth dynamics, workforce structure, capability composition, and signal layers.
The dataset spans from 1950 to 2020, providing deep temporal coverage for model training, evaluation, and feature engineering.
Companies are tracked consistently over time, allowing models to learn how organizations evolve, not just what they look like at a single point.
Capabilities
What You Can Do With It
Train models on real company evolution patterns instead of static snapshots
Improve prediction accuracy for company growth, churn, and expansion
Enrich AI systems with structured company-level signals
Build scoring, ranking, and segmentation models on top of real-world dynamics
Signals
What's Included
AI-ready company intelligence signals
Growth dynamics (headcount, net change, growth rate, percentiles)
Workforce structure (role distribution, diversity, specialization)
Capability composition (skill buckets, concentration, orientation)
Temporal patterns (multi-year tracking, directional flags)
Signal layers (resilience, high resilience, decline)
Structured for direct use in AI pipelines. No preprocessing required.
Format: Format: CSV, Parquet, Snowflake, or RAG file. Company-year level. One row per company-year with 35 columns including 4 pre-computed binary signals. Structured for AI pipelines, model training, and feature engineering workflows requiring temporal, company-level data.
Preview
Dataset Preview
A representative sample of company-year signals from the dataset. Production versions include additional fields, temporal depth, and filtering capabilities.
| Company | Industry | Country | Capability Focus | % of Workforce | Top Skill |
|---|---|---|---|---|---|
| adobe | computer software | United States | Engineering | 44% | management |
| amazon web services | internet | United States | Engineering | 41% | management |
| tesla | automotive | United States | Engineering | 40% | microsoft office |
| salesforce | computer software | United States | Engineering | 38% | customer service |
| accenture | IT and services | United States | Operations | 37% | project management |
| barclays | financial services | United Kingdom | Sales | 35% | customer service |
This is a simplified preview. Full datasets include additional signals, fields, and filtering capabilities.
Buyer-specific samples on request
Audience
Built For
AI startups building predictive models for B2B use cases
Data infrastructure teams developing feature pipelines
Applied AI products (sales, hiring, market intelligence)
Research teams training models on company-level data
Samples
Sample Intelligence Dataset
These samples represent the dataset in its interpretation-ready form, including growth signals, workforce composition, and capability layers. Structured for immediate analytical use and AI workflows requiring temporal company-level data.
Company Panel — Free Sample
120 companies | 1950–2020 | 360 rows
Longitudinal workforce intelligence with 4 pre-computed signals (acceleration, scaling, contraction, recovery)
Exploration
Interactive Exploration
The intelligence can be explored through a dedicated interface, allowing you to filter, segment, and analyze company-level data across time periods.
This provides a more intuitive way to work with temporal company-year data beyond static files, especially for deeper analysis and validation.
Get Started
Schedule a call to discuss how this intelligence fits your workflow.
Book a Vivameda Intelligence Demo