TLDR: ToltIQ, an AI startup founded by former KKR CIO Ed Brandman, is transforming private equity due diligence by leveraging artificial intelligence to process vast amounts of data, offering significant productivity gains and time savings. The company recently secured $12 million in Series A funding and expanded its operations to Europe with a new Dublin data center to ensure GDPR compliance. ToltIQ’s platform provides queryable intelligence from complex deal documents, enabling faster and more accurate investment decisions.
ToltIQ, an innovative AI startup, is fundamentally changing the landscape of private equity due diligence, a traditionally labor-intensive and time-sensitive process. Founded by Ed Brandman, former Partner, Chief Information Officer, and Head of Credit Operations at global investment firm Kohlberg Kravis Roberts & Co. (KKR), ToltIQ aims to streamline the evaluation of investment opportunities through the strategic application of artificial intelligence.
The core challenge in private equity due diligence lies in sifting through thousands of pages of diverse documents—ranging from purchase agreements and quality-of-earnings reports to customer cohorts and side letters—often under immense time pressure. Brandman recognized this ‘messy, high-stakes terrain’ as an ideal application for specialized AI. ToltIQ’s platform ingests all typical virtual data room (VDR) content, transforming this raw data into ‘queryable intelligence’ for deal teams. The company’s philosophy is clear: ‘let machines do the sifting so humans can do the judging.’
In practice, the platform is vertically focused on post-signing, VDR-centric diligence. It analyzes, categorizes, and links document sets, allowing analysts, associates, and partners to interrogate the corpus with targeted questions. This eliminates the need for manual ‘spelunking through nested folders’ and instead enables focused inquiries such as ‘Where are revenue recognition risks in the top five contracts?’ or ‘Reconcile cash conversion vs. peers over 24 months.’ The impact has been substantial, with clients reporting productivity gains ranging from 35% to 85%. Specific tasks that once took hours can now be completed in minutes, and multi-week projects are compressed into days. The platform also boasts 60-70% time savings on document review and analysis, and a remarkable 93% reduction in CIM (Confidential Information Memorandum) processing times, from approximately 40 minutes to just 2–3 minutes.
Earlier this year, ToltIQ successfully raised $12 million in a two-tranche Series A funding round, led by FINTOP Capital and JAM FINTOP. Brandman describes the product as a ‘co-pilot for investment teams,’ emphasizing that its purpose is not to replace human associates but to ‘give them leverage on the clock.’ The platform is already being utilized by dozens of General Partners (GPs), Limited Partners (LPs), family offices, and diligence firms, including prominent names like HarbourVest Partners, Fortress Investment Group, Investcorp, and PPC Enterprises.
ToltIQ’s model strategy is pragmatic and adaptable. The platform operates on ‘frontier models from OpenAI and Anthropic,’ and the company regularly publishes evaluations comparing the performance of various models on finance-specific tasks, including reasoning, precision, and output density. This ensures that each query is routed to the most suitable model, with continuous adaptation as AI capabilities evolve. Brandman noted, ‘Generative AI success at this stage is a combination of art, science, creative destruction of your codebase, endless research, and measured risk-taking.’
In a strategic move to cater to the European market, ToltIQ recently announced the inauguration of an Amazon Web Services (AWS) region in Dublin, Ireland, on October 6, 2025. This expansion addresses the growing demand from UK and European private equity firms for local data residency and compliance with regulations such as the General Data Protection Regulation (GDPR) and the European Union Artificial Intelligence Act. Mat Stephens, appointed as Head of European Operations and Global CISO for ToltIQ, highlighted that ‘ToltIQ is a GDPR compliant solution that can augment their deal workflows.’
Security is a cornerstone of ToltIQ’s offering. The company has achieved SOC 2 Type II compliance, a gold standard for data security in financial services. Its single-tenant architecture ensures complete data isolation for each client, complemented by robust encryption protocols (TLS 1.2+ in-transit, AES-256 at-rest). ToltIQ also implements strict role-based access controls, continuous vulnerability scanning, regular third-party penetration testing, and adheres to Zero Data Retention policies, ensuring client data is never used to train its AI models and remains exclusively in the USA.
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In a study released on July 22, 2025, ToltIQ rigorously benchmarked leading large language models (LLMs) – Anthropic’s Claude 4 Sonnet, OpenAI’s ChatGPT 4.1, and Google’s Gemini 2.5 Pro Preview – across 16 private equity due diligence scenarios. Claude 4 Sonnet emerged with the highest qualitative score (8.02/10) for analytical depth, while ChatGPT 4.1 excelled in rapid response (6.62/10), and Gemini 2.5 Pro Preview (5.81/10) offered broad document coverage. This ongoing evaluation ensures ToltIQ provides investment professionals with access to the most capable AI tools for diverse due diligence needs.
