AI for private equity, without leaking the deal.
Deal-team confidentiality, LP reporting, portfolio analytics, and IC memo drafting — deployed inside your firm's perimeter. Your deal data does not live in a public AI vendor's logs. Your LPA obligations stay intact.
Your LPs are asking whether their data lives in OpenAI's logs.
In 2026, sophisticated LPs ask GP firms a specific question: “Does any of our information flow into AI systems you don't fully control?” The wrong answer is a fund-raising problem. The right answer is documented, audited, and lives in your AI architecture — not in a marketing slide.
Anthropic and OpenAI both launched PE-backed AI consulting joint ventures in 2026 (Blackstone, Hellman & Friedman, Goldman, Apollo, GIC). That tells you what the LP class believes about AI's role in PE. It also tells you the market expects compliance-aware execution, not generic AI consulting.
We sit on the operator-partner side of that equation. We're the firm you bring in to actually ship the AI agents your IC, your deal team, and your portfolio companies need — without breaching your LPA, your SEC obligations, or your competitive edge.
Six places where AI agents earn their keep in a PE firm.
Deal sourcing & screening agents
Continuous monitoring of target universe (SEC filings, news, signals), automated thesis-matching against your firm's investment criteria, weekly summary briefings for partners.
IC memo & CIM drafting
First-draft memos from financial models, management presentations, market research. Your partners spend less time on first drafts, more time on the strategic edits that matter.
Portfolio company analytics
Cross-portfolio benchmarking, KPI normalization, board-meeting prep, anomaly detection. Single agent layer over portfolio reporting tools.
AI due diligence (technical)
For targets with AI exposure: stack maturity assessment, compliance posture review, model dependency analysis, competitive position. IC-grade memo output.
LP reporting & IR copilot
Drafts quarterly reports, capital-call letters, distribution notices, ad-hoc LP Q&A — in your firm's voice, against your portfolio data, with audit trail.
K-1 and tax workflow automation
Tax document drafting, distribution calculations, partner-level reporting. Heavy structured-data work; AI handles the long tail of partner-specific nuances.
The regulatory map for PE AI.
- SEC Investment Advisers Act (Form ADV, RIA recordkeeping rules, custody) — especially the AI-related disclosure trends in 2025-26.
- LPA confidentiality — firm-by-firm, but consistently restrictive on third-party data access.
- AML / KYC — ongoing investor onboarding and review.
- SOC 2 — expected by sophisticated LPs and many portfolio companies.
- Canadian OSC / IIROC for Canadian RIAs and dealer-members.
- EU AI Act if the firm has European investments or LPs.
Full compliance treatment: /ai-compliance/.
Frequently asked questions
Why can't we just use ChatGPT or Claude for deal analysis?
You can, for general research. You shouldn't, for anything that touches deal-specific information. PE firms operate under LPA confidentiality, deal-team NDAs, and (for RIAs) SEC custodial and recordkeeping rules. A prompt to a public AI vendor that contains confidential deal information is a potential disclosure event. The default architecture of consumer AI is multi-tenant inference; the default architecture for confidential deal work is dedicated, audited, and inside your perimeter.
How does this affect our LP reporting?
AI-assisted LP reporting is one of the strongest use cases we ship for PE firms. Quarterly reports, capital-call letters, distribution notices, ad-hoc LP Q&A — all benefit from RAG over your portfolio data and a generative model that drafts in your firm's voice. Critical that the inference path is private; LPs increasingly ask the question directly.
What about portfolio company AI deployment?
We frequently work directly with portfolio companies after the parent firm has engaged us. The firm-level engagement establishes the AI architecture and compliance posture; the portfolio-level engagements adapt it to each operating company. Some firms make this a value-creation lever; we've helped firms package it that way.
Can your agents help with diligence on AI-related targets?
Yes — this is a growing engagement type. We perform technical AI due diligence on potential targets: assessing their AI stack maturity, compliance posture, data-defensibility, model dependency risk, and competitive AI position. The output is an IC-grade memo your deal team can act on.
Bring us a workflow. We’ll bring back an architecture.
30-minute call with an engineer who’s shipped PE-grade AI and our compliance lead.