Our Work
In-depth AI strategy and AI investment diligence work, from operator-side transformation to investment-grade analysis of how AI is reshaping incumbent economics.
A comprehensive AI strategy for a $10B+ premium athleisure brand navigating slowing U.S. growth, intensifying competition, and the appointment of a first-ever Chief AI & Technology Officer. We delivered a three-pillar AI framework, use case prioritization matrix, governance structure, and phased investment roadmap.
A two-scenario DCF modeling Oracle's $455B AI backlog against GPU economic obsolescence and customer concentration risk across NVIDIA, AMD, and OpenAI. Memo recommends Strong Underweight / Sell with new normal fair value of $75 per share. Includes derivative implementation overlay and SAP / Workday pair trade.
A two-engine business architecture modeling Search/Services and Cloud separately, with AI Overviews monetization, Gemini long-query monetization, and the 2026 CapEx / D&A trough explicitly preserved. Net call: AI raises Alphabet's continuing value, modestly. Maintain position; the 2026 entry point will look worse than fair value.
A natural-language-processing case study comparing VADER, a default BERT classifier, and a BERT model fine-tuned on Sentiment140 across ~2.4 million Tesla tweets from 2018 and 2020. Findings on engagement-weighted sentiment, hashtag evolution, and a clean architectural lesson on why training-data match matters more than model size.