$1.3 trillion in AUM. 300+ advanced analytics leaders across the portfolio. 50+ internal data scientists inside the firm. Three linked AI strategies: augmenting investment decisions at the management company, driving value inside portfolio companies through the Operating Team, and committing capital to the AI infrastructure thesis (the $25 billion Pennsylvania commitment, the CoreWeave $7.5 billion debt facility, the AirTrunk acquisition, Neysa in India).
Blackstone leadership has been public on AI for nearly a decade. The Operating Team runs the portfolio-company playbook. The management company articulates the tooling posture. The work this note addresses is narrower than any of those three strategies. It is the training and methodology layer across portfolio companies, where a standardized enablement cadence compounds against 300+ analytics leaders and dozens of regulated-industry operators.
A view of portfolio-company AI adoption that matches how the Operating Team already thinks. About sixty percent of what a portfolio CEO's team does day-to-day is traditional code and database work. Around thirty percent is rule-based logic inside operational workflows. About ten percent is a real AI problem.
A training and methodology engagement that lands the distinction inside a portfolio CEO's first hundred days, with a playbook the Operating Team can repeat across assets, is a force multiplier on the secondment model that is already running. The work compounds.
Delivered to Pacific Life and Colgate-Palmolive workforces at enterprise scale, regulated-industry and consumer-goods side by side. The same pattern, adapted to a Blackstone-controlled healthcare holding, a consumer brand, or a logistics platform, delivers the same adoption profile inside a portfolio company. Repeatable across assets on the Operating Team's secondment cadence.
A psychometric assessment tool for evaluating ideological and moral patterns in LLMs. Relevant for regulated-industry portfolio companies in healthcare, consumer financial services, education, and life sciences where model behavior has to stand up to outside review.
Jake Van Clief, founder of Eduba. Marine Corps veteran. MSc Future Governance, University of Edinburgh. Published in ACM TiiS (ICM) and arXiv (Ethics Engine).
Track record. 1,500 plus enterprise learners trained since May 2025 across Correlation One (Pacific Life, Colgate-Palmolive) and KPMG UK, one of the Big Four.
Firm. Six-person veteran-owned firm, SAM-registered. Van Clief Media LLC, dba Eduba. Palm Coast, Florida.
Ecosystem. Eduba partners with NLP Logix for work that sits below the orchestration layer. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists.
Bring one portfolio company where the adoption gap is showing up in EBITDA variance. We will walk through the Correlation One playbook live and sketch the first hundred days.
https://calendly.com/thecro-eduba/30min