LDV Blog

Our 12th Annual LDV Vision Summit brought together deep tech entrepreneurs, technologists, academics, researchers and investors for engaging discussions on innovations in cutting-edge visual tech and AI. We continue to be excited by the accelerating convergence of visual tech and AI across both the digital and physical worlds.

We were thrilled to welcome speakers from Insight Partners, Mayo Clinic, Harvard Medical School, Bek Ventures, 01 Advisors, University of Oxford, The Pioneer Centre for Artificial Intelligence, and LocalGlobe among others.

A special thank you goes to our speakers and attendees!

We are honored to work with brilliant people every day!

Since founding in 2012, LDV Capital is a thesis-driven early-stage venture fund investing in people building businesses powered by visual technology and artificial intelligence. Our thesis = a majority of the data our brains analyze is visual. Therefore, the majority of the data artificial intelligence will analyze will also be visual across the light and electromagnetic spectrum.

People used to say that our thesis was cute, niche and science fiction. Now it is validated.

We invest horizontally across all sectors such as: agriculture, healthcare, nanotechnology, logistics, manufacturing, entertainment, mobility, construction, optics, sensors, life sciences and biotech, robotics, materials science, video, mapping, security and much more.

LDV Capital IV: We are investing out of our 4th fund which was announced in 2024.

LDV Capital I & II are returned. We continue to have significant upside potential across each of our funds thanks to our brilliant entrepreneurs, experts, team and LP partners.

We are thrilled to share that we have returned our LDV Capital I & II funds. We continue to have significant upside potential across each of our funds thanks to our brilliant entrepreneurs, experts, team and LP partners.

We continue investing out of our LDV Capital IV fund.

LPs say we are highly differentiated, disciplined, have high-quality sourcing and successfully create value by investing in category leaders at the earliest stages.

We are excited to be recruiting an Analyst to join our team to help us identify, analyze and evaluate investment opportunities. You will be a major contributor to all aspects of our fund from sourcing, market research, due diligence and supporting our portfolio companies.

We are pleased to announce that we have raised our fourth LDV Capital fund with $31M. We will continue investing in the same unique thesis that has not changed since founding LDV Capital in 2012. The majority of data our brains analyze is visual so the majority of data that AI will analyze will be visual as well. Visual data and visual technologies are critical for the success of artificial intelligence horizontally across all sectors.

We at LDV Capital have been investing in AI for over 10 years to date, and have made 7 investments in teams building businesses leveraging Generative AI since 2018. We believe that this technology has significant commercial value as a utility that will empower SaaS businesses to disrupt legacy enterprises. Check out this article to learn more and see some examples of exponentially growing commercial applications in content creation, biotech and more.

Can AI create visual metaphors for creative ads? Can it understand the contextual meaning behind them? Is it the future of content creation?

We are honored to have Dr. Lydia Chilton, an Assistant Professor of Computer Science at Columbia University, in our Women Leading Visual Tech series. Lydia leads the research about the creative design process from a computational standpoint. She builds AI tools that enhance people’s productivity.

At the LDV Vision Summit 2018, Dave Gershgorn (Quartz) spoke with Ophir Tanz (GumGum), Erin Rech (Initiative), Jessica Criscione (Ogilvy & Mather), and Beth Rolfs (Publicis) about how brands can benefit from AI and computer vision.

Claudia Perlich is the Chief Scientist at Dstillery, where she watches closely over a multitude of machine-learning algorithms and data-processing tasks. This talk touched on experimentation as well as the observational method for causal inference.