Simulations of real people for market research
Auxos builds AI customer twins for marketing, product, and research teams to test their hypotheses at scale. We work with companies to create 1:1 replicas of their customers by sourcing and interviewing real people in their ICP, allowing us to accurately model how they behave and make decisions. Currently, market research is too slow and expensive to use on anything but the biggest decisions. Surveys and panels cost a fortune and it takes weeks to recruit, moderate, and gather insights. Auxos provides a 24/7 available customer panel that can give population-scale insights in minutes. The day-to-day decisions surrounding product, pricing, and positioning can now be validated with the same rigor that used to be reserved for the big ones.
Founder
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.
Founder
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.
