Company profile · 4 min read
DiligenceSquared: auditable market research
DiligenceSquared combines AI research agents with senior consultants to deliver traceable commercial due diligence for investment decisions.
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
Published · Updated
What it does
DiligenceSquared sells market research and commercial due diligence for investment decisions. Its model combines AI agents that gather and structure interviews and research with senior consultants who scope, review and sign off the work. The YC profile frames it as an auditable alternative to large consulting reports; the homepage broadens the buyer set to private equity, corporates, private credit, hedge funds and venture capital.
The cleanest fit is an investment team that needs a specific market question answered before an IC decision, but does not want a static slide deck with no path back to the evidence. DiligenceSquared’s public workflow shows a project lead setting the research plan, agents gathering data, quality checks for integrity and coverage, and human review before delivery. That is more interesting than “AI consultants” as a category label because it exposes where the judgment is meant to sit.
Why I’d look closer
The founders have direct buyer and supplier context. The team page describes Frederik Kofoed Hansen as a former Principal at Blackstone Private Equity and Soren Biltoft-Knudsen as a former Principal in BCG’s Private Equity practice. The YC profile says Frederik commissioned large commercial-diligence reports on the buy side and Soren led more than 40 diligence projects. Those are company-published biographies, but they explain why the product emphasizes investment-grade evidence and senior sign-off.
The homepage says the company has worked with clients representing $3T+ in combined assets under management and five of the ten largest PE funds. Those are company-reported traction claims. They are useful context, not independent customer proof. The public voice-of-customer page shows a second use case—structured customer research—and describes a modular engagement that can be broad or focused. Its NPS numbers are explicitly presented as example topics, so I would not use them as DiligenceSquared customer results.
The tradeoff is service intensity. This is not a self-serve dashboard that turns on after an API key. A buyer still needs to frame the decision, approve the research plan and decide how much consultant review is worth paying for. Public materials checked here did not expose a simple price card, so scope, turnaround and the definition of “auditable” need to be established in the first conversation.
What I’d ask
Can an investment team inspect interview transcripts, source provenance and the agent’s unanswered questions before the final memo? How are expert selection, conflicts, consent and sensitive-information controls handled? I’d request a redacted sample deliverable and ask which parts are repeatable software versus bespoke consulting effort.
My editorial take
DiligenceSquared is compelling when the cost of an unsupported market assumption is high and the buyer wants a traceable answer, not a faster first draft. I’d test it on one decision with a known evidence standard and compare the delivered chain of evidence to an incumbent report—not just compare page count or price.
Quick facts
| Field | Sourced detail |
|---|---|
| Buyer fit | Investment and strategy teams making high-stakes market decisions |
| Delivery model | AI research agents plus senior consultant review and sign-off |
| Traction signal | Company reports clients representing $3T+ combined AUM; company-reported |
| Public pricing | No simple price card located in the sources checked |
Sources checked
Checked 2026-09-19.
| Source | Used for |
|---|---|
| YC company profile | Product definition, founders and company-reported client context |
| DiligenceSquared homepage | Buyer segments and delivery model |
| Team | Public professional founder biographies |
| Voice of customer | Research workflow and example-topic caveat |
Cohort context
DiligenceSquared is listed in Fall 2025. In our 2026-09-18 directory snapshot, 90 of 146 listed companies in that cohort have YC’s primary industry label B2B (61.6%). This is a current-directory comparison, not an original intake count or a performance ranking. Nine-cohort dataset.
Public website snapshot
Observed 2026-09-19T16:15:00.143Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.
| Signal | Homepage observation |
|---|---|
| Product description metadata | Observed |
| Canonical link | Not observed in this response |
| H1 or H2 heading | Observed |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Not observed in this response |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |
Public observations · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.
About the author
Cofounder of Lazyweb (a16z Speedrun). Previously grew subscriptions and built native ads at Duolingo. Writes First1000 (90,000+ subscribers).
I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.
First1000 ↗ · X ↗