Fuzzy Logix with Aashu Virmani (EVP) | E81

Big data meets AI to create better etfs and portfolios.


In this 81st episode of Fintech Impact, Jason Pereira, award-winning financial planner, university lecturer, writer, and host interviews Aashu Virmani, Executive Vice President at Fuzzy Logix and FastINDX. Fuzzy Logix is a big data management platform that applied artificial intelligence to extremely large sets of data in a very fast and efficient way that helps businesses with a variety of tasks. Hear about how Fuzzy Logix, along with FastINDX creates custom indexes that can be screened on many different parameters that match a client’s value proposition. 

Episode Highlights:

●     00:56: – Aashu Virmani defines Fuzzy Logix.

●     04:10: – What is the specific analytic that they have accelerated? 

●     06:45: – What does FastINDX do?  

●     12:40: – Which timeframe is Aashu’s company able to shrink for clients? 

●     15:12: – For testing securities, are the other datasets they can overlay to find correlations? 

●     20:00: – Data doesn’t show a performance lag. 

●     21:18: – Aashu explains how the operations and day-to-day-maintenance works. 

●     25:37: – How does FastINDX go about producing reports and fact sheets?

●     28:39: – What would Aashu Virmani change in his business or in his industry?

●     30:06: – What has been the biggest challenge in his business?

●     31:51: – What is the most exciting thing Aashu Virmani is working on?

3 Key Points

1. Fuzzy Logix’s customers are typically in the financial world or in healthcare. 

2. FastINDX does three things well: creation ideation, reconstituting portfolios, and producing reports and fact sheets.  

3. At the very minimum, they do 11-year back tests for portfolios. 


Tweetable Quotes:

●  “We found an unmet problem that wasn’t solved in the market, and that was ultra-high-performance analytics, or machine learning when the data sets become really large.” – Aashu Virmani 

●  “We essentially flipped the approach and said, ‘hey, instead of moving all this data, why don’t we just move some code to the data?” – Aashu Virmani 

●  “If you go to emerging markets you start to get clean data really only from 1991 onward. But when you’re talking about the big companies like SP500s etc. you can easily go back to the inception and you will have some good clean data.” – Aashu Virmani 

Resources Mentioned:

Facebook – Jason Pereira’s 

LinkedIn – Jason Pereira’s

FintechImpact.co – Website 

Aashu Virmani – Linkedin