AI customer clones for market research
Market research is too slow and expensive to validate everyday product, pricing, and positioning decisions at scale.
Auxos creates AI customer clones by interviewing real ICP customers to provide an always-on, population-scale research panel for rapid hypothesis testing.
Marketing, product, and research teams at companies that want to test hypotheses with replicas of their target customers.
Co-founder and CEO @ Auxos, Simulate every decision before it reaches a real customer Before Auxos, I was a consultant at BCG working on Agentic AI deployments for Fortune 500 companies, where I ran customer research surveys, panels, and interviews and watched them spend a fortune for insights. Previously studied CS at Columbia University. Individual NCAA Fencing Champion for Columbia University, ranked #1 in the nation, part of Team USA ranked #1 in the world.
Built infra for simulations modeling 40% of US e-commerce traffic as a Software Engineer at Amazon Ads. Built the fastest seismic wave simulator in the world for Vorticity (YC S19). CS & Math grad from Duke University. Fenced for Team USA and Division 1 at Duke.
Co-founder and CPO @ Auxos, Simulate every decision before it reaches a real customer Before Auxos, I was a senior software engineer at Meta and Instagram where I built the infra for models powering Instagram reels, ads, and Facebook feed, resulting in $100M+ of incremental revenue per year. There, I witnessed how waiting for A/B testing results became the bottleneck in the product development lifecycle. Fenced for Team USA. CS major and Division 1 athlete at UPenn.





