Technographic Data

We infer technology usage from millions of job postings worldwide.Our technographic data stands out for several key reasons:

Largest Technology Catalog. Our catalog includes over 21,000 technologies spanning programming languages, frameworks, databases, ERPs, CRMs...
Global Company Coverage. We've mapped technology usage across 7.6 million companies worldwide, from Fortune 500 giants to fast-growing startups. Our comprehensive database spans every continent and industry, delivering 41 million technology-to-company insights by analyzing real job posting data to understand what tools and platforms companies actually use.
Data Accuracy and Confidence Scoring. Each technology identification receives a confidence score calculated from multiple factors: frequency of technology mentions in job postings, recency of mentions, consistency across multiple job listings, and contextual analysis of how technologies are referenced in job requirements.
Complete Data Transparency. Every technology signal links back to original job postings where the technology was mentioned, including company details and posting dates. This allows for full verification and validation of our technology identification methodology.
Real-Time Data Updates. Our platform processes new technographic signals every minute as job postings are collected and analyzed. This ensures the dataset reflects current technology adoption patterns and hiring trends. See our data freshness documentation for detailed update frequencies.

Largest Technology Catalog. Our catalog includes over 21,000 technologies spanning programming languages, frameworks, databases, ERPs, CRMs...
Global Company Coverage. We've mapped technology usage across 7.6 million companies worldwide, from Fortune 500 giants to fast-growing startups. Our comprehensive database spans every continent and industry, delivering 41 million technology-to-company insights by analyzing real job posting data to understand what tools and platforms companies actually use.
Data Accuracy and Confidence Scoring. Each technology identification receives a confidence score calculated from multiple factors: frequency of technology mentions in job postings, recency of mentions, consistency across multiple job listings, and contextual analysis of how technologies are referenced in job requirements.
Complete Data Transparency. Every technology signal links back to original job postings where the technology was mentioned, including company details and posting dates. This allows for full verification and validation of our technology identification methodology.
Real-Time Data Updates. Our platform processes new technographic signals every minute as job postings are collected and analyzed. This ensures the dataset reflects current technology adoption patterns and hiring trends. See our data freshness documentation for detailed update frequencies.

Further reading