ToltIQ embeds AI due diligence platform inside PwC Deals practice

ToltIQ's AI-powered due diligence platform will be embedded across PwC's Deals practice to serve sponsors, lenders and corporate acquirers in private markets.

A brightly lit modern conference room with a long white table and gray chairs features a clear vertical display case exhibiting an illuminated circuit board with copper tubing, next to a large window.

ToltIQ, an AI-powered due diligence platform built for private markets, has announced a strategic relationship with PwC that places its technology inside PwC's Deals practice. Under the agreement, ToltIQ will support deal teams across the full diligence lifecycle, from financial and commercial due diligence through to operational and technology assessments, serving the sponsors, lenders and corporate acquirers that PwC advises globally.

Ed Brandman, founder and chief executive of ToltIQ, said the relationship was "about amplifying" PwC's existing expertise, giving deal teams tools that "broaden the evidence base, accelerate the path to insight, and enrich every conversation they have with their clients." Brandman previously served as partner and chief information officer at KKR for eleven years before founding ToltIQ.

What the integration covers

In financial due diligence, ToltIQ addresses the document-heavy early stages of each engagement. The platform ingests, classifies and cross-references thousands of virtual data room files, giving practitioners structured, queryable access to the full document corpus earlier in the process. Each AI-surfaced finding is tied to a specific document, page and passage through source-grounded citations, a design choice intended to meet the evidentiary standards professional services firms require before presenting findings to investment committees.

In commercial due diligence, the platform enables review of an entire contract population within standard engagement timelines, rather than restricting analysis to the most material agreements. ToltIQ says this supports broader assessment of customer concentration patterns, renewal dynamics, pricing structures and exclusivity provisions.

Kevin Desai, Deals Platform Leader at PwC US, said clients need AI "not as a feature bolted onto today's process, but as a capability they can govern, scale, and stand behind with their investment committees and LPs." The agreement also creates a commercial framework through which PwC can offer ToltIQ-embedded diligence to its own clients who wish to build internal AI capabilities or co-develop next-generation workflows.

Beyond pre-close diligence, the parties say the relationship is designed to extend into post-deal value creation, connecting ToltIQ to PwC's proprietary AI capabilities, data assets and deals workflows as an interoperable component rather than a standalone tool.

Market context and competitive positioning

Enterprise AI adoption in professional services has accelerated markedly, with the major accountancy and advisory networks competing to embed AI tooling across their advisory and deals workflows. Deloitte, EY and KPMG have each announced proprietary or partnership-based AI programmes aimed at the deals market, and specialist legal-tech and due diligence platforms have attracted significant venture funding as private equity firms seek to compress deal timelines and reduce per-engagement cost.

ToltIQ's competitive positioning leans on two features that carry weight with institutional buyers: a single-tenant, deal-isolated architecture and a dual certification stack of SOC 2 Type II and ISO 27001:2022, alongside GDPR compliance and a zero-data-retention policy. These credentials are particularly relevant for private markets professionals, where deal confidentiality requirements are strict and the consequences of data leakage are severe. The model-agnostic design, which avoids dependency on a single LLM provider, also reduces the commercial and regulatory risk associated with rapid turnover in the foundation-model market.

The EU AI Act's forthcoming obligations on general-purpose AI systems and the UK's evolving AI governance framework will increasingly affect how professional services firms deploy AI tools under client mandates. PwC's ability to offer clients both an embedded diligence experience and advisory support on building their own governed AI workflows positions the practice to address that regulatory read-across directly. Neither party disclosed financial terms or named initial client engagements under the agreement. Skadden, Arps, Slate, Meagher & Flom provided legal counsel to ToltIQ.