116 Street Upcoming Webinars

Upcoming Webinars

Ludwig Schulze
Written by

Alumni Ventures

Published on

Look at the 116 Street Upcoming in the next week. And also note this piece of new text that was added without rebuilding everything!

But it’s not only headers and preambles. Richtext body contents can be added too, of course. Added 1 2 3 4 5 6 7 8

Webinar
116 Street Intro Webinar - Normal Settings

Presenter
Ludwig Pierre Schulze
Ludwig Pierre Schulze

Webinar
116 Street Investor Update Webinar - Syndication Webinar

Presenter
Ludwig Pierre Schulze
Ludwig Pierre Schulze

Webinar
116 Street FAQ Webinar - Settings changed

Presenter
Ludwig Pierre Schulze
Ludwig Pierre Schulze

Invest in a fund of ~20-30 diversified, venture-backed companies at the earliest stage, where the opportunities for value creation are typically highest.

Invest in entrepreneurial companies at the earliest stage where the opportunities for value creation are typically highest and company valuations are usually at their lowest.

Only 1 Day Remain Prior to Fund Close.

Act Soon to Secure Your Spot.

Westwood Ventures Fund 3 Is Closing 2/28!

Diversification into an innovation-driven asset class like venture capital has been an important long-term strategy for institutional investors. Many of today’s most prominent names in technology (Amazon, Google, Airbnb, Uber) and emerging innovators like OpenAI and X-Energy are venture capital-backed companies. Westwood offers access to this important asset class to UCLA alumni and friends. Our commitment deadline for Fund 3 is 2/15 and our signature deadline is 2/28.

Our AI Fund is only open through the end of March, and we anticipate strong interest. We’re limited to only 249 investors, so login to secure your spot promptly.

Alumni Ventures portfolio company Analog Inference is helping deliver the high-performance and low-power edge AI needs with next-gen technology that is radically superior to current digital computing solutions. The company’s AI chips have far better performance per watt than traditional computing options, which is critical for enabling proper AI computation at the edge of networks and devices.

Look at this new module

Look at this new new module