AI Due Diligence Revolution: How DiligenceSquared’s Voice Agents Slash M&A Research Costs by 90%

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AI Due Diligence Revolution: How DiligenceSquared’s Voice Agents Slash M&A Research Costs by 90%

In the high-stakes world of private equity mergers and acquisitions, a seismic shift is underway as artificial intelligence fundamentally transforms how billion-dollar deals are researched and evaluated. DiligenceSquared, a Y Combinator-backed startup founded by former Blackstone and Boston Consulting Group executives, is leveraging AI voice agents to make top-tier commercial due diligence accessible and affordable. This innovation arrives at a critical moment when private equity firms face increasing pressure to deploy capital efficiently while maintaining rigorous investment standards.

AI Due Diligence Disrupts Traditional Consulting Models

Traditional merger-and-acquisition research has long been the exclusive domain of elite management consulting firms. Consequently, private equity groups routinely spend between $500,000 and $1 million for comprehensive commercial due diligence from firms like McKinsey, Bain, or BCG. These extensive reports typically involve interviewing dozens of corporate customers, including C-suite executives, and synthesizing insights with proprietary market data into 200-page documents. However, this traditional approach presents significant financial risk since expenses for external advisers are not reimbursed if a deal collapses.

DiligenceSquared’s co-founders, Frederik Hansen and Søren Biltoft, bring deep industry expertise to this challenge. Hansen previously served as a principal at Blackstone, where he commissioned these exact reports for multiple billion-dollar buyouts. Meanwhile, Biltoft spent seven years leading due diligence efforts within BCG’s private equity practice. Their combined experience revealed a persistent market inefficiency: PE firms often delay engaging costly specialists until they achieve high conviction in a deal, potentially missing critical early insights.

The Voice Agent Innovation

The startup’s breakthrough centers on deploying AI voice agents to conduct structured interviews with customers of target companies. This technology builds upon consumer research models pioneered by startups like Keplar, Outset, and ListenLabs, which raised $69 million at a $500 million valuation in January 2026. However, DiligenceSquared adapts this approach specifically for the nuanced requirements of private equity due diligence. The AI agents systematically gather commercial intelligence that human consultants would traditionally collect through time-intensive, expensive interviews.

Importantly, the startup maintains rigorous quality controls through human oversight. Senior consultants with private equity experience verify the accuracy and commercial relevance of all final outputs. This hybrid approach combines AI efficiency with human expertise, ensuring the analysis meets institutional standards. Since launching in October 2025, DiligenceSquared has completed multiple projects for several of the world’s largest PE firms and mid-market funds, demonstrating early market validation.

Transforming Private Equity Economics

The financial implications of this technological shift are profound. By automating the groundwork typically performed by junior consultants, DiligenceSquared claims it can provide comparable analysis for just $50,000—representing a 90% reduction from traditional consulting fees. This dramatic cost decrease fundamentally changes when and how private equity firms conduct commercial research. Firms can now engage DiligenceSquared earlier in their evaluation process, well before achieving high conviction in a potential deal.

“We are taking these great insights that were previously reserved for very big decisions, and now we make them more accessible,” Hansen explained in an interview. This accessibility could democratize sophisticated due diligence across the private equity landscape, particularly benefiting mid-market funds with tighter budgets. The lower price point also reduces financial risk during early-stage deal evaluation, potentially leading to more informed investment decisions throughout the industry.

Competitive Landscape and Funding

DiligenceSquared operates within an emerging competitive landscape for AI-powered due diligence solutions. Its main competitor, Bridgetown Research, raised a $19 million Series A round co-led by Accel and Lightspeed in February 2026. This parallel development signals growing investor confidence in technology’s potential to transform traditional M&A processes. DiligenceSquared’s own $5 million seed round was led by Damir Becirovic, a former Index Ventures partner now operating his new venture firm, Relentless.

The startup’s technical capabilities are strengthened by co-founder Harshil Rastogi, a former Google engineer who brings software development expertise to the founding team. This combination of private equity experience and technical talent positions DiligenceSquared uniquely within the market. The company’s participation in Y Combinator’s fall 2025 cohort provided additional validation and early-stage support during its development phase.

Broader Implications for Financial Services

The emergence of AI-powered due diligence represents more than just cost reduction—it signals a fundamental transformation in how financial institutions gather and analyze information. Traditional consulting firms have dominated this space for decades by leveraging their extensive networks and methodological rigor. However, AI technologies now challenge this dominance by offering scalable, consistent, and rapidly deployable research capabilities.

This shift could have cascading effects throughout the investment ecosystem. Investment banks, corporate development teams, and even public market investors might eventually adopt similar technologies for their research needs. The core innovation—using AI to systematically gather qualitative insights at scale—has applications far beyond private equity due diligence. Furthermore, as these systems improve through machine learning, their analytical capabilities will likely expand beyond current limitations.

Quality Assurance and Human Oversight

A critical differentiator for DiligenceSquared is its commitment to maintaining human oversight throughout the research process. While AI voice agents handle initial data collection, senior consultants review all outputs for accuracy, nuance, and commercial relevance. This hybrid model addresses potential concerns about AI-generated analysis lacking contextual understanding or strategic insight. The startup emphasizes that its final deliverables meet the same quality standards as traditional consulting reports, just produced through more efficient means.

This approach reflects broader industry trends toward human-AI collaboration in professional services. Rather than replacing human expertise entirely, DiligenceSquared’s model augments it with technological efficiency. The company’s founders stress that their industry experience enables them to design AI systems specifically for private equity’s unique requirements, distinguishing their offering from more generalized consumer research platforms.

Conclusion

DiligenceSquared represents a significant innovation in private equity technology, using AI voice agents to make sophisticated due diligence accessible and affordable. By reducing costs by approximately 90%, the startup enables earlier and more frequent commercial research during deal evaluation. This development could democratize institutional-quality analysis across the investment landscape while maintaining rigorous standards through human oversight. As AI continues transforming financial services, DiligenceSquared’s hybrid approach offers a compelling model for balancing technological efficiency with professional expertise in high-stakes decision-making environments.

FAQs

Q1: How does DiligenceSquared’s AI due diligence process actually work?
The startup uses AI voice agents to conduct structured interviews with customers of companies being evaluated for acquisition. These agents systematically gather commercial intelligence that human consultants would traditionally collect. Senior consultants then verify the accuracy and insights of the final analysis, combining AI efficiency with human expertise.

Q2: What makes DiligenceSquared different from consumer research AI platforms?
While the technology builds upon consumer research models, DiligenceSquared specifically adapts its approach for private equity due diligence requirements. The founders’ industry experience enables them to design systems that address the unique nuances of M&A research, and their outputs meet institutional quality standards through rigorous human oversight.

Q3: How much does DiligenceSquared’s service cost compared to traditional consulting?
The startup claims it can provide comparable analysis for approximately $50,000, representing about 90% savings compared to the $500,000 to $1 million typically charged by firms like McKinsey, Bain, or BCG for similar commercial due diligence reports.

Q4: Who are DiligenceSquared’s main competitors in this space?
Bridgetown Research represents the primary competitor, having raised a $19 million Series A round in February 2026. Both companies are part of an emerging category of AI-powered due diligence solutions targeting the private equity and M&A markets.

Q5: What background do the founders have that qualifies them for this venture?
Frederik Hansen was formerly a principal at Blackstone, where he commissioned due diligence reports for billion-dollar buyouts. Søren Biltoft spent seven years in BCG’s private equity practice leading diligence efforts. Technical co-founder Harshil Rastogi is a former Google engineer, creating a balanced team of industry and technical expertise.

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