About us

We help founders build the most disruptive companies at the edge of Synthetic Biology and A.I.

5+

Companies

$25M+

Invested capital target

30+

Partners

10+

Years of experience

Our mission

Our mission is to contribute to the development of the most disruptive companies who want to enable humanity to face up to its next challenges as a species from fighting genetically transmitted diseases and pandemics to preventing ageing and climate change.

Our partners

Our values

01

Founders First

We are deeply focused on founders and supporting their businesses with capital, time, industry insights and mentorship. We invest in founders who have a vision for what's possible.

02

Build the future

We are patient investors and are not flustered by day-to-day conditions. We delay gratification and invest in business that will change the world over time.

03

Communicate

We believe that being as short and direct as possible. Providing information the shortest path the flow will allow us to act quickly for the benefit of our founders.

04

Execution

We have a bias for action. Bring that super hardcore work ethic with you everyday.

Our Story

2022

With more than 300 startups from pre-seed to Serie C aligned with our vision, we launched our AIxSynBio accelerator program to help founders build the most disruptive companies who want to enable humanity to face up to its next challenges as a species from fighting genetically transmitted diseases and pandemics to preventing ageing and climate change.

2021

Officially launched OpenSynBio, a non for profit Computing Foundation for Synthetic Biology with mission to build the largest community of researchers, startups and industrial partners who collaborate together to develop and run the most disruptive computing technologies advancing fundamental and applied research in Synthetic Biology.

2019

Started working on developing predictive algorithms for biotechnology startups and realized that the innovation engine in life science was ultimately broken when it comes to computing.