Intelligence Datasets
Vivameda intelligence products are longitudinal workforce intelligence layers derived from our data infrastructure. Each product is built as company-year observations, enabling multi-year analysis of workforce evolution, organizational structure, and company growth dynamics.

Available Datasets
Architecture
All products are built on the same ~4.2M company universe as company-year observations, with increasing depth of intelligence at each layer.
Growth Intelligence delivers foundational growth signals. Market Intelligence builds on that foundation with role and organizational depth. Capability Intelligence extends the system into full capability and skill-level resolution. Foundation Intelligence unifies all three layers into a single historical ground truth optimized for model training, scoring, and prediction, all structured as temporal company-year data.
Comparison
Compare the four intelligence layers based on use case, depth, and analytical application.
| Product | Growth | Market | Capability | Foundation |
|---|---|---|---|---|
| Primary Use Case | Growth and scaling signals | Workforce structure and composition | Skills and deep company intelligence | AI model training and prediction |
| Analytical Depth | Foundational | Structural | Deep / multi-layer | Full-depth / unified |
| Best For | Market mapping, trend analysis | Segmentation, benchmarking | Due diligence, capability benchmarking | AI training, scoring, feature engineering |
| Data Structure | Company-year | Company-year + role structure | Company-year + capability expansion | Company-year + all signal layers |
| Signal Complexity | Low to moderate | Moderate | High | Highest |
| Typical Buyer | Investors, research teams | Strategy and analytics teams | Corporate strategy, investment firms | AI labs, data infrastructure teams |
| Delivery Modes | Full / Signal-Optimized | Full / Signal-Optimized | Full / Signal-Optimized | Full / Signal-Optimized |
Coverage
Balancing full market visibility with analytical depth
The dataset preserves broad coverage across tens of millions of company-year records, including long-tail and early-stage companies. This view is designed for macro analysis, ecosystem mapping, and full market visibility across time.
Within structurally mature companies, the dataset reaches significantly higher signal density. In this segment, role and capability coverage exceeds 90%, enabling reliable temporal analysis, segmentation, and modeling.
The dataset preserves broad coverage across tens of millions of company-year records, including long-tail and early-stage companies. This view is designed for macro analysis, ecosystem mapping, and full market visibility across time.
Within structurally mature companies, the dataset reaches significantly higher signal density. In this segment, role and capability coverage exceeds 90%, enabling reliable temporal analysis, segmentation, and modeling.
Validation
Designed for analytical reliability at scale
Zero duplicates at company-year level
Zero null-key leakage across primary tables
Observed and validated across historical dataset
Across companies and time
Workforce and capability layers aligned
Views ready for immediate use
High-density company-year data
Zero duplicates at company-year level
Zero null-key leakage across primary tables
Observed and validated across historical dataset
Across companies and time
Workforce and capability layers aligned
Views ready for immediate use
High-density company-year data
Audience
Building structured models from workforce intelligence and temporal company signals
Identifying multi-year growth patterns, market signals, and competitive dynamics across company-year data
Data-driven decision-making across hiring, expansion, and market entry using workforce intelligence
Building structured models from workforce intelligence and temporal company signals
Identifying multi-year growth patterns, market signals, and competitive dynamics across company-year data
Data-driven decision-making across hiring, expansion, and market entry using workforce intelligence
Format
Schema Documented
Direct integration
Partitioned
Efficient querying
SQL Ready
Structured format
Parquet and CSV
Analysis-ready files
Snowflake
Cloud delivery
RAG File
AI-ready knowledge
AWS S3
Direct to your bucket
Features
Additional intelligence modules expanding the current system.
Advanced Capability Signals
Deeper skill-level intelligence for advanced capability modeling.
On RequestExpanded Market Intelligence
Extended market segmentation and structural insights across industries.
On RequestIndustry Talent Flow Dataset
Track how talent moves across companies, roles, and industries over time.
On RequestGraph Intelligence
Relational company graphs capturing connections across entities, roles, and capabilities.
On RequestVectorized Intelligence
Embedding-ready company representations for retrieval, similarity, and AI workflows.
On RequestAdvanced Capability Signals
Deeper skill-level intelligence for advanced capability modeling.
On RequestExpanded Market Intelligence
Extended market segmentation and structural insights across industries.
On RequestIndustry Talent Flow Dataset
Track how talent moves across companies, roles, and industries over time.
On RequestGraph Intelligence
Relational company graphs capturing connections across entities, roles, and capabilities.
On RequestVectorized Intelligence
Embedding-ready company representations for retrieval, similarity, and AI workflows.
On RequestExploration
An internal interface used to explore, validate, and interact with the intelligence across all layers. It enables structured temporal analysis of companies, markets, and workforce patterns in a controlled environment.

Schedule a call to discuss which intelligence fits your workflow.
Book a Vivameda Intelligence Demo