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The AI Workforce for Building Materials Distribution. Built by lifelong friends from xAI, Google, and McKinsey.
Modern Industrials is building the AI workforce for distribution, starting with the $450B+ building materials industry. Co-founders Austin, Vatsal, and Ankit have known each other for decades. Vatsal and Ankit are brothers and Austin is their childhood best friend. The team combines deep technical and operational experience from McKinsey, Google (MLE), and xAI (MTS). Their first product (AI Sales Engine) transforms the back office from a manual cost center into a high-margin engine by automating quoting, order entry, and analytics. At scale, Modern Industrials seeks to become the end-to-end OS for distribution across the physical world.
Modern Industrials provides AI-driven automation for the lumber/Building Materials (LBM) distribution sector, offering end-to-end systems to modernize operations and drive ROI. The service focuses on automating order processing, pricing, and data-driven customer engagement to replace manual, error-prone processes.
They build a customized AI-enabled system for LBM distribution that integrates end-to-end processes into one intelligent platform. Key capabilities include automated order processing, intelligent quoting and pricing, data-driven customer engagement, and actionable analytics. The system is designed to learn continuously, be reliable in production, and scale to 24/7 operation, with implementations tailored to each business to maximize value.
Who it’s for: LBM distributors and building materials suppliers seeking to replace manual, tedious workflows with automated, data-driven processes.
no explicit funding or hiring details provided
Former Head of Growth & Operations at Roon (Sequoia-backed Series A). Previously led F500 AI engagements at McKinsey and consistently ranked in the top 5% of the company. Selected for Northwestern’s BS/MD program (<0.1% acceptance) and awarded the Frederick Shipp Diebler Award as the top economics undergraduate.
Led ML initiatives for Google Ads Bidding, driving $XXXM in incremental revenue. Previously built a real-time NBA injury intelligence platform to $10k MRR with 500+ users, and was an early engineer at Bloomfilter (Sequoia-backed).
Former Member of Technical Staff at xAI building agentic AI systems. Previously architecting ML models at Uber on the Surge pricing team to optimize marketplace dynamics driving $XXM in revenue. Developed algorithmic trading systems for Kalshi and Polymarket generating $200k+ in profit (16% ROI).
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