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DiligenceSquared makes use of AI, voice brokers to make M&A analysis reasonably priced

Jane Doe by Jane Doe
March 5, 2026
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DiligenceSquared uses AI, voice agents to make M&A research affordable
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A typical merger-and-acquisition course of is time consuming and costly, even for the biggest, well-staffed non-public fairness companies. Along with spending numerous hours assembly with senior executives of potential targets and modeling monetary outcomes, these teams spend thousands and thousands of {dollars} on exterior advisers: accountants, legal professionals, and administration consultants.

Since bills for exterior advisers usually are not reimbursed if a deal falls by means of, PE companies wait till they’re sure of their curiosity earlier than partaking expensive specialists equivalent to consultants from McKinsey, BCG, or Bain to carry out in depth industrial analysis available on the market and the goal firm.

DiligenceSquared, a startup that was a part of YC’s fall 2025 cohort, says that with the assistance of AI, it will probably present top-tier consultancy-quality industrial analysis at a fraction of the standard value.

The startup’s co-founders, Frederik Hansen and Søren Biltoft, possess deep experience in non-public fairness due diligence. Hansen was previously a principal at Blackstone, the place he commissioned these stories for a number of billion-dollar buyouts. In the meantime, Biltoft spent seven years in BCG’s non-public fairness observe main these kind of diligence efforts.  

Since launching in October, Hansen’s and Biltoft’s trade expertise has helped DiligenceSquared full a number of tasks for a number of of the world’s largest PE companies and mid-market funds, Hansen tells TechCrunch.

That early traction satisfied Damir Becirovic, a former Index Ventures associate, to guide DiligenceSquared’s $5 million seed spherical out of his new VC agency, Relentless.

As an alternative of counting on costly administration consultants, the startup makes use of AI voice brokers to conduct interviews with clients of the businesses the PE companies are contemplating shopping for.

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DiligenceSquared is making use of the identical AI-interview mannequin seen in shopper analysis startups like Keplar, Outset, and ListenLabs, which in January raised $69 million at a $500 million valuation. However Hansen and Biltoft argue that their due diligence course of and ultimate outputs are essentially completely different from the buyer analysis produced by these startups.

PE companies pays $500,000 to $1 million for McKinsey, Bain, or BCG to interview dozens of company clients, together with C-suite executives, and produce 200-page stories synthesizing these insights with proprietary market information, Hansen stated. To make sure the standard of the evaluation, DiligenceSquared entails senior human consultants who confirm the accuracy and industrial insights of the ultimate output.

Since AI is doing numerous the groundwork, the startup claims it will probably present the evaluation for simply $50,000.

“We’re taking these nice insights that had been beforehand reserved for the very massive choices, and now we make them extra accessible,” Hansen stated. Due to the lower cost level, PE companies are actually way more prepared to have interaction DiligenceSquared earlier within the course of, properly earlier than they’ve excessive conviction in a deal.

DiligenceSquared isn’t the one firm making an attempt to disrupt the diligence market. Its important competitor, Bridgetown Analysis, raised a $19 million Collection A co-led by Accel and Lightspeed in February 2026.

Along with Hansen and Biltoft, DiligenceSquared was co-founded by Harshil Rastogi, a former Google engineer.

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Jane Doe

Jane Doe

Jane Doe is the founding editor of Spectator Daily. Before launching this platform, she worked as a Technical Writer, where her primary responsibility was translating dense engineering documentation into clear manuals for end-users. This background in structured communication taught her the importance of precision and the dangers of ambiguity.

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