Key Takeaways
- • Zaigo, an AI implementation firm co-founded by Peter Enestrom and Kyle Richless, launched a technical due diligence service designed to validate AI claims in private equity deal theses before capital commitment.
- • The service addresses a market gap: PE investment memos increasingly contain AI components lacking technical verification, creating unquantified risk exposure for investors evaluating acquisitions.
- • Zaigo's engineers assess target company data infrastructure, test existing AI claims, identify automation opportunities, and pressure-test investment assumptions against production realities—delivering technical and economic validation rather than strategy presentations.
- • The firm has delivered production AI systems across middle-market and PE-backed companies in manufacturing, distribution, warehousing, retail, e-commerce, healthcare services, professional services, hospitality, and professional sports.
- • The service directly addresses co-founder Enestrom's observation: "Every investment memo now has an AI slide, and almost none of them have been checked by anyone who builds AI systems."
Summary
Zaigo announced its engineering-led AI due diligence service on September 8, 2026, positioning itself as a technical validation layer for private equity firms evaluating acquisitions with AI components in their investment theses. The New York-based AI implementation and services company, co-founded by Peter Enestrom and Kyle Richless, targets a critical vulnerability in the current PE diligence process: the prevalence of unvalidated AI assumptions embedded in deal memos.
According to Enestrom, the problem is systemic. "Every investment memo now has an AI slide, and almost none of them have been checked by anyone who builds AI systems," he stated. "Funds are underwriting assumptions they can't verify. We give them the engineering answer: what's real, what's marketing, what can actually be built, what it will cost, and what it should return." This commentary highlights the disconnect between strategic AI narratives presented by target company management and the technical feasibility or economic viability of those claims when subjected to engineering scrutiny.
The service methodology applies Zaigo's operational experience building custom AI systems for middle-market businesses. The due diligence process includes technical assessment of a target's data, systems, and infrastructure capacity; testing of existing AI and technology claims; identification and ranking of realistic AI and automation opportunities; and pressure-testing of investment thesis assumptions against production realities. The deliverable is framed as a technical and economic assessment distinct from strategy presentations—a critical distinction for PE teams requiring concrete evidence of AI value creation.
Zaigo's track record spans multiple sectors, including manufacturing, distribution, warehousing, retail, e-commerce, healthcare services, professional and advisory services, hospitality, and professional sports. This operational experience provides the firm with sector-specific technical benchmarking capabilities that enhance the credibility of its due diligence assessments for portfolio companies operating in similar verticals.
According to Enestrom, the problem is systemic. "Every investment memo now has an AI slide, and almost none of them have been checked by anyone who builds AI systems," he stated. "Funds are underwriting assumptions they can't verify. We give them the engineering answer: what's real, what's marketing, what can actually be built, what it will cost, and what it should return." This commentary highlights the disconnect between strategic AI narratives presented by target company management and the technical feasibility or economic viability of those claims when subjected to engineering scrutiny.
The service methodology applies Zaigo's operational experience building custom AI systems for middle-market businesses. The due diligence process includes technical assessment of a target's data, systems, and infrastructure capacity; testing of existing AI and technology claims; identification and ranking of realistic AI and automation opportunities; and pressure-testing of investment thesis assumptions against production realities. The deliverable is framed as a technical and economic assessment distinct from strategy presentations—a critical distinction for PE teams requiring concrete evidence of AI value creation.
Zaigo's track record spans multiple sectors, including manufacturing, distribution, warehousing, retail, e-commerce, healthcare services, professional and advisory services, hospitality, and professional sports. This operational experience provides the firm with sector-specific technical benchmarking capabilities that enhance the credibility of its due diligence assessments for portfolio companies operating in similar verticals.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.