Aimee Xu is a Vice President at I Squared Capital and joined the Global InfraTech VC Fund in June 2022, based in Miami. Prior to joining I Squared, Aimee graduated with a dual MBA/MA degree from Wharton and The Lauder Institute at UPenn. Before business school, Aimee was in NYC and spent two years as a PE Associate at Goode Partners, a consumer-focused growth equity fund, and two years as an IB Analyst at J.P. Morgan on the Consumer & Retail Coverage team. In her spare time, Aimee enjoys electronic music, cooking Chinese food, exploring new countries and spending time with her husband and fur baby.

EVCA: Could you explain more about what you do in your roles at EVCA?

Aimee: I currently lead the Miami chapter for EVCA which I started when I moved to Miami 3 years ago. As chapter lead, I host events in Miami for the chapter, am the key contact for people visiting Miami who’d like to meet up with local investors and am a community builder in the nascent but growing Miami startup ecosystem.

EVCA: What made you interested in taking a leadership role at EVCA?

Aimee: When I first moved to Miami, I was looking to meet local investors but I couldn’t find organizations that were hosting the types of events I wanted to attend. Most of the events were very broad in topics and open to the public while I was looking for more targeted, small group events to really get to know the people working and living in Miami. I was already involved in EVCA as a member so I reached out to start this chapter and create a space for vetted investors to meet each other and local startups.

EVCA: What is your most contrarian view on an existing or emerging technology trend?

Aimee: The future of robotics won’t be defined by who builds the machines, but by who controls the data they generate. As hardware becomes commoditized and interoperable, value is shifting to the orchestration software that manages robot fleets and extracts actionable insights. In asset-heavy industries, robots are increasingly deployed as mobile sensing platforms - tools for gathering real-time data across complex environments. The real opportunity lies in software layers that turn this data into predictive maintenance, optimization, and risk alerts.