Julian Eison

Managing Partner

2020 - Current

Lecturer at the Stanford GSB - Startup Garage (STRAMGT 356)

2022

Startup Garage is an intensive, hands-on, project-based course in which student teams design and test new business concepts that address real-world needs.

Board Member

2024

Board Member

2023

Board Observer

2021

Member

2016

Eison Family Brands is a San Francisco based family office. We develop brands, invest in innovative private companies, and foster genuine relationships with leaders driving the next wave of creativity and imagination.

Kauffman Fellow (Class 27)

2022 - 2024

The Kauffman Fellows Program identifies and develops global leaders in VC while providing a structured curriculum, peer learning, executive coaching, and networking — all with a focus on giving back and one's responsibility as a leader in venture capital. With 800+ Fellows across 65 countries, Kauffman Fellows is the largest network of VCs and innovation leaders in the world. In the 27 years since inception, Kauffman Fellows have started hundreds of funds, raised and deployed hundreds of billions of dollars in capital, and helped pave the way for some of the world’s most groundbreaking companies. As a network, Kauffman Fellows represent over $290 billion in assets under management, have collectively raised over $790 billion dollars in capital, and have been responsible for over $8.5 trillion in exits to LPs.

Board Observer

2021 - 2023

Valence VC Funding Network Manager

2020 - 2020

Founder & CEO

2016 - 2019

Built from ground up. Structured international textile and manufacturing supply chain of 5 factories and over 20 service providers. Managed production team in China and built a distributed engineering team in India. Self-taught apparel design and pattern making. Raised Seed round and practiced capital efficiency. Was Techstars Music Finalist (2019). Gained worldwide notoriety and provided industry thought leadership. Invented Eison Triple Thread FITS (USPTO # 88099620), a personalization technology that leveraged AI, customer lifestyle data and musical preferences to create personalized menswear. FITS recommended style, and informed consumer purchasing behavior with a vision to span the retail spectrum.