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Ed Brandman

Co-Founder at ToltIQ

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Overview

Ed Brandman is Co-Founder at ToltIQ [1], a position Brandman has held since June 2025 [2], having previously served as Founder from February 2023 to June 2025 [3]. Brandman also serves as a Board Member on the Investcorp SCG Strategic Advisory Board, a position held since September 2023 [4]. Prior to founding ToltIQ, Brandman held the position of Chief Information Officer at KKR & Co. Inc. from August 2007 to December 2018 [6], and previously worked as Managing Director at PricewaterhouseCoopers [7] and Managing Partner at OMT Partners LLC [8]. Brandman earned a Bachelor of Arts degree in Political Science from Rutgers University between 1986 and 1990 [10].

Career history

  1. Co-FounderJun 2025 to presentToltIQ
  2. FounderFeb 2023 to Jun 2025ToltIQ
  3. Board Member - SCG Strategic Advisory BoardSep 2023 to presentInvestcorp
  4. RetiredDec 2018 to Jun 2023ESB Investments
  5. Chief Information OfficerAug 2007 to Dec 2018KKR & Co. Inc.
  6. Managing DirectorJul 2006 to Aug 2007PricewaterhouseCoopers
  7. Managing PartnerOct 2003 to Jul 2006OMT Partners LLC
  8. CEONov 2001 to Oct 2003Renaissance Trading Technologies
  9. Chief Information OfficerKKR

Education

  1. Bachelor of Arts (BA), Political Science1986 - 1990Rutgers University

Insights & ideas

Ed Brandman argues that generative AI can meaningfully improve how GP stakes firms conduct diligence, moving beyond manual, document-heavy review processes toward faster, more systematic analysis [1]. His central idea, as framed in this conversation, is that AI-powered platforms like ToltIQ can transform complex diligence workflows by applying cutting-edge generative technology to parse and analyze the dense documentation that underpins GP stakes transactions [1].

The recurring theme attributed to him is a focus on operational efficiency and technological modernization within a niche corner of private equity, specifically the diligence process for firms investing in stakes of general partners [1]. The discussion centers on how automation and AI tools can be applied to a traditionally labor-intensive area of financial analysis [1].

Media & appearances

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