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.
Last stage
Seed
Investors
Jerry Wu
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.
Ashton Daniel
Former BCG consultant working on Agentic AI deployments for Fortune 500 companies. CS graduate of Columbia University. Individual NCAA Fencing Champion, ranked #1 in the nation, Team USA.
LinkedInKerry Lu
CS & Math graduate of Duke University. Former software engineer at Amazon Ads, built infra for ad simulations modeling 40% of US e-commerce traffic. Built the fastest seismic wave simulator in the world for Vorticity (YC S19). Fenced for Team USA and Division 1 at Duke.
LinkedInNo applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.