On 6 March 2026, DiligenceSquared closed a $5 million seed round led by Relentless, with Y Combinator participating. The pitch is precise: AI voice agents conduct the customer and expert interviews that private equity firms traditionally outsource to McKinsey, Bain, or BCG at $500,000 to $1 million per engagement. The platform is already live with PE firms and mid-market funds across the US and Europe representing more than $2 trillion in combined assets under management. A year earlier, Bridgetown Research raised a $19 million Series A from Lightspeed and Accel at a $250 million valuation to attack the same workflow with a different agent topology. Two companies, $24 million combined, both targeting commercial due diligence — being compressed by an order of magnitude on price and two on speed.

The Pattern

Commercial due diligence is the layer between “interesting target” and “binding offer.” It involves interviewing customers, partners, and former employees of a target; mapping competitive positioning; sizing the addressable market; and producing the deck the deal committee reads before signing. It is a significant share of the global management consulting market, in the hundreds of billions annually.

Bridgetown’s architecture is built around three families of agents that gather, collate, and synthesise information from hundreds of respondents, producing initial diligence in 24 hours rather than weeks. DiligenceSquared’s voice agents conduct expert interviews directly, cutting out the $1,500-per-day research analyst and pushing senior consultants up the value chain into pure synthesis. Both converge on the same insight: the costliest part of a $500K diligence engagement is not the analysis — it is the labour-intensive primary research, and that layer is automatable now.

The market context is unusually permissive for this repricing. Closed-end private capital funds held $4.63 trillion in dry powder at the end of Q2 2025, and M&A value re-accelerated into 2026. The bottleneck is no longer capital — it is the time and cost of running diligence on enough targets to find the right one. At $500K per engagement, a fund runs diligence on the deals it is already 80% sure it will close. At $50K, the same fund can run diligence on ten targets before forming a thesis on one.

Why It Matters

Fee compression is real but unevenly distributed. The professional services stack is splitting into two layers. The analysis layer — market sizing, competitive mapping, expert interviews, financial modelling — is being automated at roughly 90% cost reduction. The origination layer — proprietary deal flow, relationship access, GP judgment, knowing which questions to ask — becomes more valuable precisely because the analysis is commoditised. McKinsey, Bain, and BCG do not lose to AI; they lose to AI plus a former Blackstone principal who knows which expert to call first.

The same playbook eroded equity research after MiFID II unbundled it: commodity research disappeared, the differentiated franchise survived. As we noted in Charaka Note #16 on software repricing, pricing is migrating from seats to outputs. Due diligence is the latest sector to feel the pull.

The Charaka View

Manthan Intelligence’s analytical architecture was built on the same recognition. The Analytical Council runs three to nine independent persona lenses against a deal in parallel; the synthesis layer surfaces tensions rather than smoothing them; the cost per full company assessment runs under a dollar in compute. Agents handle the primary research; humans handle the calibrated judgment.

Two questions matter for anyone watching this category. First, who controls the expert network? Voice agents are cheap; trusted experts willing to be interviewed are not. Proprietary respondent panels are the durable moat. Second, what happens when GPs realise the same agents can run continuous diligence on a portfolio rather than a one-time pre-deal exercise? The natural endpoint is not a $50K deliverable replacing a $500K one. It is monitored portfolio intelligence — every investment, every quarter, refreshed at SaaS-subscription cost. The firms that build that architecture first compound a knowledge advantage over those still buying point-in-time decks.

This analysis draws on TechCrunch on DiligenceSquared, DiligenceSquared’s PRNewswire announcement, TechCrunch on Bridgetown Research, Entrepreneur India on Bridgetown’s agent topology, McKinsey’s Global Private Markets Report 2026, and S&P Global on PE dry powder. Human editorial oversight applied.

This analysis is informational and does not constitute investment advice, a research report, or a recommendation to buy, sell, or hold any security.

Charaka Notes by Manthan Intelligence. Subscribe