Rashad H

Working with GP and team to source, evaluate, and invest in startups in the AI value chain.

One year full time MBA

NOTE: Stage - Post Product, post revenue. Interested in companies building in the AI value chain: Chips > Data > Data Infra > Cloud and Inference > LLMsl | Agents > Verticialized SLM > Applications > Device etc. - Independent investor and advisor focused on B2B SaaS, AI/ML applications, and fintech infrastructure at seed/Series A - Deployed $0.8M across 10+ enterprise technology companies (2021-2025), averaging $10K-100K initial checks - Portfolio companies raised $25M+ in follow-on funding; 3 companies advanced to next funding round in 2025 - Evaluated 400+ investment opportunities annually, analyzing business models, unit economics, competitive positioning, and technical differentiation across enterprise software and AI platforms - Built 410-member investor network spanning operators, founders, and institutional investors for market intelligence, deal flow, and co- investment opportunities Select Investments & Value Creation: • Estuary (seed, 2022): Identified differentiated positioning in real-time data infrastructure before category emergence; advised on enterprise GTM strategy and facilitated client introductions; company raised a $17M Series A (3x markup) led by M13 (2025) • Brij (pre-seed, 2023): Backed founding team in digital product helping collect first party data and uncover customer insight via AI; company raised a $8M oversubscribed seed (3x markup) led by Pixel Capital and CEAS Investments • Kit (seed, 2023): Invested in a B2B at-home diagnostic testing platform; acquired by Ro within 6 months at 3.5x return INVESTMENT PHILOSOPHY: Focus on B2B SaaS and infrastructure where operating experience creates edge: AI value chain (infrastructure through agentic layers) where deployment matters more than algorithms; enterprise software with complex sales cycles; vertical SaaS/ AI in regulated industries. Technical AI background (NYU Stern) + Fortune 500 deployment enables evaluation of technical founders in markets where incumbents are vulnerable.

As a data practitioner, love what Dave and team are doing to solve real-time data availability problem. Dave is the humblest of 2nd time founder with a successful exit. Happy to be small part of the journey! Investment Stage: Pre-Seed (recently raised Series A) Backed by FirstMark

Kait and Brij team are amazing. I was lucky enough to be a small supporter through my syndicate as part of their pre-seed raise in 2022. Investment Stage: Pre-Seed (recently raised $8M Seed)

A huge supporter of my friends MO^2, Nayeem Zen and team building to solve business banking challenges in the MENA region. Investment Stage: Pre-Series A

Lawtrades aims to change how your company utilizes legal resources. Happy to be a supporter and a small part of my friend Raad and his team's journey. Backed by Draper Associates, Social Capital, Graph Ventures, and Sahil Lavingia

New York Life ("NYL") is a Fortune 100 (Ranked #71) mutually policyholder owned company Leading NYL’s critical strategic initiatives around Products, AI & Analytics, and digital capabilities

Managed a team of 55+ employees and consultants responsible for executing NYL’s critical strategic initiatives

Cohort 2

Sloan Fellows MBA

M.S. Thesis: Estimate real estate property prices for New York City through machine learning predictive analytics (regression, random forest, xgboost, neural network models etc.); achieved more accurate model results than Zillow Zestimate (comparing MAE or RMSE) Notable coursework: Modern Artificial Intelligence | Strategy Change & Analytics | Network and Platform Analytics | Data Visualization with Tableau & R | Digital Marketing Analytics | Foundation of Statistics and R | Big Data | Data Mining with R | Data Driven Decision Making | Decision Modeling & Decision Under Risks