Key Takeaways
- • Operand, a private equity due diligence startup that uses AI to conduct diligence for PE firms, raised $31 million across seed and Series A funding rounds, according to Axios Pro.
- • CEO Ram Gorthi disclosed the funding exclusively to Axios Pro.
- • Operand's approach centers on drawing from non-traditional data sources and using AI to process a larger volume of data than traditional diligence methods allow, with the stated aim of giving PE firms an analytical edge.
Summary
Operand, a private equity due diligence startup, has raised $31 million in combined seed and Series A funding, according to CEO Ram Gorthi, who disclosed the round exclusively to Axios Pro. The company applies artificial intelligence to the due diligence process for private equity firms.
According to the report, Operand's model relies on non-traditional data sources to help investors identify insights that conventional research may miss. Paired with AI-driven processing, the platform is designed to analyze a substantially higher volume of data than manual diligence workflows typically permit. The company's pitch to PE firms is therefore centered on both informational breadth and analytical throughput.
The article's primary source does not disclose the investor syndicate, valuation, or specific client base, and those details were not available in the supplied material. The funding round signals continued institutional interest in AI-enabled tools that support private market deal evaluation and underwriting.
According to the report, Operand's model relies on non-traditional data sources to help investors identify insights that conventional research may miss. Paired with AI-driven processing, the platform is designed to analyze a substantially higher volume of data than manual diligence workflows typically permit. The company's pitch to PE firms is therefore centered on both informational breadth and analytical throughput.
The article's primary source does not disclose the investor syndicate, valuation, or specific client base, and those details were not available in the supplied material. The funding round signals continued institutional interest in AI-enabled tools that support private market deal evaluation and underwriting.
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