Headcount tells you scale. Role structure tells you shape. Skill concentration over time tells you what a company is actually capable of building, and how that capability evolves.
Move beyond how companies grow or structure. Understand what they are actually capable of building and executing, tracked across company-year observations.
Map companies by functional capability over time. Understand whether a workforce is oriented toward software delivery, commercial execution, data infrastructure, or something else entirely, and track how that orientation shifts.
Foundation
~46.5M
Capability records
30
Structured columns
4.2M
Companies tracked
1990–2020
Time range
US+
Primary coverage
Full stack
All signal layers
Observed data gets enriched with current headcount, skills, capabilities, and financial information
Overview
The top skill concentrations inside each company's workforce, ranked by how much of the team carries each capability, tracked across longitudinal company-year observations. The dataset focuses on the 1990–2020 period, where company coverage and signal density are highest.
Whether the company's skill profile leans toward technical delivery, commercial operations, leadership depth, or specialist functions, and how that orientation shifts over time.
How two companies with similar headcount and structure can differ sharply at the capability layer, revealing what each can actually execute.
Capability Intelligence expands each company-year into multiple structured capability signals, enabling deeper temporal analysis of how companies actually operate and evolve. This is the highest-resolution view available in the dataset.
Capabilities
Search an entire market for companies with deep concentrations in a specific capability, such as data engineering, cloud infrastructure, or regulatory compliance
Evaluate acquisition targets on skill-set alignment rather than surface-level market position or revenue multiples
Assess whether a vendor or partner's workforce can actually deliver on what is commercially represented
Detect when a traditionally non-technical organization begins concentrating new skills over time, signaling a product or strategy pivot through multi-year workforce data
Signals
All Market Intelligence signals (growth, structure, roles, percentiles)
Top skill buckets per company, ranked by workforce share
Skill concentration percentage per bucket
Leading individual skill within each bucket
Capability concentration indicator
Skill profile orientation (technical, commercial, operational)
Directional flags: resilience, high resilience, decline
Format: CSV, Parquet, Snowflake, or RAG file. Multi-row per company (one row per skill bucket, top three per company). Includes all fields from Growth and Market Intelligence. Structured for analytical workflows and AI models requiring temporal, company-level capability data.
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 | Skill % | Focus Level |
|---|---|---|---|---|---|---|---|
| brex | financial services | United States | Engineering | 44% | backend dev | 18% | High |
| celonis | IT services | Germany | Engineering | 41% | data engineering | 16% | High |
| conga | IT services | United States | Sales | 39% | enterprise sales | 14% | High |
| blue yonder gmbh | IT services | Germany | Engineering | 38% | cloud infra | 15% | High |
| arcadia group ltd | retail | United Kingdom | Operations | 36% | supply chain | 13% | Medium |
| bankers healthcare grp | financial services | United States | Sales | 35% | account exec | 12% | Medium |
This is a simplified preview. Full datasets include additional signals, fields, and filtering capabilities.
Buyer-specific samples on request
Audience
Investment teams running capability based due diligence on targets or portfolio companies
Procurement and partnerships teams vetting whether vendors have the technical depth they promise
Corporate strategy teams modeling build vs. buy decisions with real workforce evidence
Talent intelligence teams benchmarking organizational capability gaps against competitors
Samples
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.
Analysis-ready extract
Aggregated capability and skill signals across companies
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.

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