12/1, NYC: Neudata Data Summit- the biggest alternative data event in the investment industry

Join PEVCTech and Versatile VC at Neudata’s NYC Data Summit on December 1, 2022 in NYC – in partnership with Morgan Stanley as Diamond sponsor. This will be the biggest alternative data event within the investment industry.

We’ll have 500+ attendees; hundreds of data providers; and over 60 speakers from AllianceBernstein, Schonfeld, JP Morgan Asset Management, Point72 Asset Management, Grayscale, SkyBridge Capital, Advent International, Bain & Company, etc.

The regular ticket price is £2,500.00. However, we’ve arranged complimentary passes for our members who are VP level and above and are users of alternative data at investment organizations with >$1b AUM.  If you qualify, contact us with some background on you and your firm.

All others: Register here and get 25% off with code NeudataPEVC22.

Here are the top three reasons why we think you should attend:

  • Learn how data can help you with deal sourcing, due-diligence and creating value across your portfolio companies
  • Meet specialist vendors helping PE & VC firms expand your network
  • Meet with hot tech companies ripe for prospective investment

Attendees can also take part in the AltDating programme, a networking opportunity matching buyers and vendors in 1-2-1 meetings.

Register here and get 25% off with code NeudataPEVC22

About Neudata

Fintech firm Neudata was founded in 2016 with a simple mission — to provide asset managers with unbiased intelligence on the alternative data sources that could help their investment processes.

Since then, we have grown to a team of 50 alternative data scouts, software developers, events professionals, account managers and journalists serving leading global organisations in London, New York and Shanghai.

Our SaaS platform combines cutting-edge software with our expert research analysis to find our investment management, private equity, venture capital and corporate clients the most relevant and useful datasets for each individual use case.