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Private markets are shifting from intuition-based methods to data-driven insights. However, this transition is uneven, with many individuals still relying on instinct and manual research. AI enhances speed and is powerful in identifying patterns, predicting trends, and refining human judgment.
In the latest episode of the Analytics Insight Podcast, Priya Dialani speaks with Neha Singh, Co-Founder of Tracxn, about how AI is changing private equity and venture capital. “AI isn’t about replacing analysts,” Neha explains, “It’s about giving every analyst superpowers.”
For decades, deal sourcing relied on personal networks and referrals. The Tracxn Co-Founder points out that this often translates to overlooking promising startups outside of those already well-known. Tracxn’s AI-led platform scans millions of data points, including filings, patents, hiring trends, and online signals, to spot emerging companies early. “AI lets you see what’s coming next, not just what’s visible now,” she adds.
Unlike public markets, private investing does not have standardized data. “There’s no single source of truth,” Neha says. Tracxn uses AI to collate scattered information from media, company updates, and market reports into a single, credible database. The objective: to make private markets as transparent and accessible as public ones.
For the business leader, as data grows, the future lies in context. “We don’t need more data; we need smarter data,” she explains. AI is not just supposed to collect information, but to understand what matters for each investor’s strategy.
For the company’s Co-Founder and industry observer, private investing over the coming decade will be a collaboration between human intuition and machine intelligence. “The investors who learn to work with AI, not against it, will shape the future,” she concludes.
As AI evolves from automation to insight, it is set to make private markets faster, fairer, and far more intelligent.
