A five-month-old startup just convinced some of the world’s largest private equity firms to replace McKinsey’s $500K due diligence with $50K AI agents. DiligenceSquared announced a $5 million seed round on March 6, 2026—and buried in the press release is the real story: PE firms managing $2+ trillion in combined AUM are already using the platform in production. Not pilots. Not proof-of-concepts. Live deals worth hundreds of millions of dollars.
This matters right now because PE firms are making billion-dollar bets on AI-conducted expert interviews before anyone’s proven the technology works at scale.
PE firms are betting billions on AI interviews nobody’s stress-tested
DiligenceSquared launched in October 2025. Five months later, it’s already signed multiple Fortune-tier PE clients. The adoption curve isn’t gradual—it’s immediate.
The platform uses voice AI agents to conduct expert interviews with C-suite executives and competitors—conversations that traditionally required experienced consultants who could read subtext, follow hunches, and pivot mid-interview. McKinsey, BCG, and Bain are facing the same disruption hitting doctors and software engineers—AI that can replicate repeatable workflows at a fraction of the cost.
But here’s what nobody’s asking: What happens when the AI misses something critical? A regulatory red flag buried in an executive’s careful phrasing. A competitor’s tell that signals market weakness. The kind of nuance that comes from conducting 500 interviews over a decade, not training on transcripts.
We don’t know. The platform has been live for five months. The failure cases haven’t surfaced yet—or haven’t been disclosed.
The 90% cost collapse that kills information asymmetry
Traditional consulting charged $500K to $1 million per project because scarcity created value. You paid for Bain’s brand, their Rolodex, and the analyst who’d seen this deal pattern 50 times before. DiligenceSquared charges a fraction of that because AI scales infinitely.
And when every PE firm can afford the same research, competitive advantage shifts from information quality to capital availability.
Mid-market firms lose. They can’t outspend Blackstone, and now they can’t out-research them either. The old edge—hiring the best consultants to surface insights competitors missed—evaporates when everyone’s using the same AI platform. Information asymmetry, the thing that made small PE firms dangerous, becomes purely financial. Winners: large PE firms with deeper pockets. Losers: everyone else.
This mirrors the broader pattern of companies deploying AI before understanding the risks—speed to market trumping validation. PE firms are making the same bet as the 30% of companies that cut staff for AI before proving the technology could replace them.
The human bottleneck that breaks the math
Here’s the catch buried in the announcement: DiligenceSquared still requires “senior human consultants” to review all outputs and provide “white-glove support.” The 90% cost savings only holds if those reviewers don’t become bottlenecks.
If AI-conducted interviews miss critical nuance—and PE firms discover this after closing a $300 million deal—the entire model collapses back to traditional consulting costs plus the AI subscription fee. You’re paying for both.
Søren Biltoft, DiligenceSquared’s co-founder and former BCG consultant, told investors the platform keeps “human judgment exactly where it’s needed.” But five months of operation isn’t enough data to know where that boundary actually is. The company’s betting PE firms will figure it out in production, on live deals, with real money at risk.
That’s not a pilot. That’s a field test with billion-dollar consequences.
We’re about to find out if AI can handle high-stakes expert interviews—because the deals are already happening, the platform is already deployed, and the first failure case will be very, very public.
