WHAT INSPIRED YOU TO CREATE AQUATY, AND WHAT IS YOUR LONG-TERM VISION FOR THE COMPANY IN DRIVING INNOVATION AND RESHAPING THE VENTURE CAPITAL LANDSCAPE?
The idea for AQUATY came from seeing the difficulties and high entry barriers in the venture capital industry. Our vision is to make this area more open to everyone, much like how easy it is to trade stocks.
That’s why we sometimes compare our vision to NASDAQ. NASDAQ introduced an electronic trading system in the early 1970s that immediately increased transparency and lowered costs compared to the old way of trading over the phone.
At AQUATY, we want to bring about a similar transformation, creating a “NASDAQ moment“ for private capital, where access is easier and the process is more efficient for everyone.
WHAT FEATURES DOES AQUATY OFFER TO FACILITATE DIGITAL SETTLEMENT OF INVESTMENT PROCESSES, SECONDARY TRANSACTIONS, AND MANAGEMENT OF VIRTUAL STOCK PROGRAMS LIKE ESOP?
We offer a suite of features tailored for seamless navigation. Our foundation rests upon a meticulously constructed legal, regulatory, and AI infrastructure, ensuring the smooth execution of VC transactions.
Through automated generation of requisite legal documents and adherence to regulatory standards, we provide a framework that instills confidence and compliance.
CONGRATS ON THE €2,300,000 FUNDING, HOW DO YOU LEVERAGE THIS INVESTMENT TO FURTHER INNOVATE AND EXPAND AQUATY’S OFFERINGS?
Thank you! We plan to use this funding to further develop our technology and expand our offerings.
We just launched our multi-SPV product for Business Angels and emerging or established venture capital companies.
We also want to enhance our Tech and AI capabilities to provide greater transparency and efficiency.
WITH RECENT FUNDING, HOW HAS THE AQUATY’S CAP TABLE EVOLVED?
We don’t disclose any details. However, the funding has brought in great investors who believe in our business model and see the potential to simplify private market transactions.
They have not only strengthened our financial base but also enhanced our network, opening up new ways for collaboration and growth.
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Can you share your journey from working at NASA’s Jet Propulsion Laboratory to becoming the CTO of Standard AI?
When I was at The Jet Propulsion Laboratory, my work focused primarily on large scale data management for NASA missions. I got to work with incredible scientists and engineers, learning about how to conduct research from outer space. Not only did I learn a lot about data science, but also large-scale engineering project management, balancing risk and error budgets, and large-scale software systems design. My PhD work at the University of Southern California was in the area of software architectures for high performance computing, and I was able to see the application of that research first-hand.