Data collection is driven by three primary sources in a context of machine learning and AI advancements. The first source involves the crawling of unstructured data from regulatory filings, press releases, and websites, forming the foundation of company profiles. The second source, developed in the last two and a half years, is a contributory data network where companies provide automated briefings, contributing significant insights about themselves and their competitors, tapping into data not available through machine learning or public domains. The third source consists of direct interviews with software buyers, which offers critical peer insights. By integrating these diverse inputs, the platform enhances its data generation, search capabilities, and research output while maintaining a minimal human oversight, allowing for expansive scalability across numerous technology markets. This approach enables the coverage of over 1,000 technology markets, with potential to explore 3,000 to 4,000 markets, emphasizing the ongoing need for data acquisition and qualitative insights.

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