H.I.G. Capital Adopts ToltIQ AI to Reshape Deal Diligence

NEW YORK, NY – March 06, 2026 – In a move signaling a significant technological shift within the private equity landscape, H.I.G. Capital, a global alternative asset management firm with $74 billion under management, has selected ToltIQ as an AI-powered due diligence platform. The decision for a firm-wide deployment follows a rigorous two-month evaluation, cementing ToltIQ's position within H.I.G.'s expanding suite of AI-enabled investment tools.

The partnership represents a powerful endorsement of artificial intelligence's growing role in one of finance's most critical and traditionally labor-intensive processes. For private equity firms, where speed and accuracy in assessing investment opportunities are paramount, the ability to rapidly analyze vast amounts of data in a virtual data room (VDR) can provide a decisive competitive advantage.

"When a firm like H.I.G., with their track record and global reach, conducts a serious evaluation and commits to deployment, it's a meaningful validation of the work we've been doing to build this platform," said Eric Jacobs, Director of Client Solutions at ToltIQ. Jacobs noted that H.I.G. was already convinced of AI's potential, but needed to see the platform perform under the real-world pressures of their workflows. “The pilot delivered that validation,” he added.

The AI Engine Powering Modern Private Equity

At the heart of H.I.G.'s decision is a platform designed from the ground up for the unique demands of private market transactions. Unlike general-purpose AI tools, ToltIQ was built with a deep understanding of the private equity deal lifecycle. Its system is engineered to securely ingest and analyze the complex, unstructured documents typically found in VDRs, from financial statements and legal contracts to confidential information memoranda (CIMs).

ToltIQ's key differentiator lies in its specialized architecture. The platform is model-agnostic, allowing it to integrate and curate the best-performing large language models (LLMs)—from providers like OpenAI and Anthropic—for specific tasks. This flexibility ensures clients are not locked into a single technology and can leverage the most advanced model for a given analytical need, whether it's rapid summarization or deep contextual analysis. Features like "Bulk Query" allow analysts to ask questions across hundreds of documents simultaneously, while "Data Chat" enables conversational analysis of complex Excel workbooks.

Crucially, the platform is built for trust and verification. Every insight or summary generated is directly linked back to its source document, allowing investment professionals to validate information in seconds. This traceability addresses the "black box" problem that often plagues AI systems and is essential for the high-stakes environment of deal-making. The goal, as envisioned by its founder, is to become the "Bloomberg Terminal of Due Diligence" for the private markets—an indispensable tool for every investment professional.

A Strategic Leap for Competitive Advantage

For H.I.G. Capital, the adoption of ToltIQ is more than an efficiency play; it is a strategic investment in its future deal-making capabilities. In an industry where firms are constantly seeking an edge, leveraging advanced AI promises to transform the economics and speed of due diligence.

Industry data shows that AI platforms can deliver staggering productivity gains, with some firms reporting between 35% and 85% improvements. Tasks that once took hours, such as initial document review, can be completed in minutes. The time to process a lengthy CIM, for example, can be slashed by over 90%, from 40 minutes down to just two or three. This acceleration allows deal teams to evaluate more opportunities with greater depth and without increasing headcount.

The impact extends beyond pure speed. By automating the painstaking work of data extraction and categorization, AI frees up analysts to focus on higher-value activities. The traditional model, where an analyst might spend 90% of their time on data crunching and only 10% on strategic judgment, is being inverted. With AI handling the manual work, analysts can dedicate the majority of their time to interpreting insights, identifying hidden risks, and developing value creation strategies. This shift from data gatherer to strategic advisor is fundamental to improving deal selection and driving higher returns.

From KKR Veteran to Fintech Visionary

The credibility of ToltIQ's solution is deeply rooted in the experience of its founder, Ed Brandman. A former Partner, Chief Information Officer, and Head of Credit Operations at the global investment giant KKR, Brandman possesses a rare combination of deep private markets expertise and technological vision.

His years on the front lines of global finance provided an intimate understanding of the pain points and inefficiencies inherent in traditional due diligence. This firsthand knowledge was instrumental in designing a platform that speaks the language of private equity and aligns seamlessly with its established workflows. Rather than forcing firms to adapt to a new system, ToltIQ was built to integrate with and enhance existing tools, such as CRM systems like Intapp DealCloud, creating a unified flow of intelligence from deal sourcing to closing.

This founder-led, industry-first approach was a key factor in winning the confidence of a major player like H.I.G. Capital. The platform's success demonstrates that the most effective technological solutions often emerge not from pure tech companies, but from industry veterans who leverage technology to solve the specific problems they know best.

Navigating the Future: AI, Regulation, and the Human Element

The rapid integration of AI into finance is not without its challenges. The industry is keenly aware of the regulatory, security, and ethical considerations that accompany this powerful technology. For sensitive processes like due diligence, data security is non-negotiable. Platforms like ToltIQ address this with enterprise-grade, single-tenant architecture and SOC-2 compliance, ensuring that a client's proprietary data remains isolated and secure. To serve a global client base, firms are also establishing regional data centers, such as ToltIQ's Dublin facility, to comply with data residency regulations in the UK and Europe.

Beyond security, the principle of "human-in-the-loop" remains paramount. AI is viewed as a powerful co-pilot, not an autopilot. The technology augments human intelligence by surfacing key information and potential red flags, but the final judgment and strategic decisions remain firmly in the hands of experienced investment professionals. This collaborative model ensures accountability and maintains the rigorous standards required for investment decisions.

Looking ahead, experts predict that AI adoption in private equity will only accelerate. The current phase of experimentation is expected to give way to enterprise-wide deployment in the coming years, with AI becoming a "force multiplier" that transforms not just due diligence but the entire investment lifecycle, from sourcing and portfolio management to value creation and exit strategies. The partnership between H.I.G. Capital and ToltIQ is a landmark event in this transition, setting a new benchmark for what is possible when deep industry expertise meets the cutting edge of artificial intelligence.