Ventura
AI Employees for Industrial Distributors
Verdict
Ventura is a well-positioned team with rare founder-market fit: one founder with a proven prior exit in exactly this vertical, the other with deep LLM engineering credentials and a reference company that scaled to $7M ARR in 14 months. The product is clearly live and functional — not vaporware. The industrial distribution market is large, underserved by modern software, and has a concrete pain point (manual order/quote entry) with measurable ROI. Main risks are competitive commoditization as larger CRM/ERP vendors add AI features, and the difficulty of selling to fragmented, conservative industrial buyers. No press or named customer logos hurts confidence in current traction, but the fundamentals here are strong.
Active Founders
I’ve been building with Language Models since before they were Large. Founding Engineer at Develop Health, where I owned a product responsible for half the company’s revenue. We went 0 to $7M ARR in 14 months with a team of 5. Previously deployed NLP/LLM solutions across a 20,000-person clinical research organization. Created magentic, an open-source Python framework for LLMs (2k+ GitHub stars). Irish Mathematical Olympiad finalist. MS in Computing (Machine Learning), Imperial College London.
I've spent my career in industrial distribution. BCG consultant to steel and cement manufacturers. Then co-founded and exited bravo, a process automation platform for European wholesale distributors. While at Harvard, I embedded with a $2bn distributor to build their AI sales automation from scratch. That became Ventura. MS Engineering + MBA, Harvard. Forbes 30 Under 30. Building AI teammates for the industrial supply chain.