Our Company

Revolutionizing Consumer Research
With Machine Learning and Predictive Analytics

Our Team

Vault's team encompasses some of the strongest strategic minds in machine learning, media and entertainment.

David Stiff

CEO / Co-Founder

Los Angeles

10-year tech & entertainment executive, ex-Animation Lab (Jerusalem Venture Partners), Landa Nano

Ziv Ayalon

CTO / Co-Founder

Tel Aviv

20-year tech executive, Ex-CTO/VP R&D at Final Israel (HFT)

Nir Tzachar PhD

Chief Scientist / Co-Founder

Tel Aviv

12-year machine-learning researcher. Ex-Lead Researcher at Final Israel (HFT)

Abe Recio PhD

Chief Product Officer

Los Angeles

Ex-SVP Strategic Marketing and Research at Sony Pictures, ex-VP Warner Brothers

Greg Buell

VP Sales

Los Angeles

Fizziology (Marketcast), Variety, Hollywood Reporter

Caroline Wanne

WW Entertainment Research Manager

Tel Aviv

W24 News Austria, GVC Gaming

Eze Vidra

Director

London

Managing Partner Remagine Ventures, ex-General Parter Google Ventures

Michael Schmidt

Chairman

New York

CCO Red Arrow, ProSiebenSat.1, RTL

A True Machine Learning AI Company

Vault AI is a machine-learning audience-prediction company that analyzes stories to deliver actionable business insights for marketing and development executives at major Hollywood movie and TV studios, global movie distributors and production companies.

Developed in partnership with global media companies and Israeli artificial intelligence experts, our RealAudienceā„¢ Platform is designed to optimize every aspect of the content lifecycle.

Vault was founded with the belief that content spend will grow significantly, the consumption and distribution of content will evolve, and audiences will constantly morph and change their tastes. Traditional research methods, while interesting, can no longer provide actionable data based on the huge market shifts. Vault aims to fill that vacuum by focusing on the same constant-the story-and using it to understand how stories can reach their maximum potential.

Investors

GOT WHAT IT TAKES?

Take a look at our open vacancies in machine learning, entertainment research and more.