Investing to shape a better world
WovenLight believes modern analytical techniques offer a new, powerful and more precise approach to value creation. Not only will these techniques create value at our portfolio companies, they will drive a reimagining of the entire investment lifecycle. The need for ‘next generation private equity’ is why WovenLight has been built on a radically different talent profile, investment process, technical capability and culture — and a proven record of success.
Principles
We address global challenges
The next decade faces major challenges: from technology integrating itself into every aspect of how every industry operates, to environment changes and climate imperatives. As a PRI signatory we are committed to responsible investment to tackle these global challenges.
Diversity drives our performance
Diverse people bring diverse experience, which in turn, brings the diverse approaches you need to solve tough problems. We are committed to building a hybrid investment and technology firm that will help rework and reskill businesses, so that they can be relied upon for future livelihoods
Always learning at light speed
Data is most valuable, not as a piece of singular analysis, but as a feedback loop. The most important investment we make in a business is embedding the capability to learn faster and the culture to apply new knowledge quickly and repeatedly.
Eliel Saarinen
Team
Akhil Dhir
Akhil is a Senior Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Alexis Drakopoulos
Alexis is a Machine Learning Engineer at WovenLight, where he focuses on turning analytics plays into well-tested, reusable software components.
Andrew Searle
Andrew is Chief of Staff at WovenLight, leading a range of strategic and operational initiatives.
Angus Taylor
Angus is Principal Product Manager at WovenLight, focused on building the proprietary technology required for next generation private equity.
Antenor Rizo Patron
Antenor is a Deployment Director at WovenLight. He works closely with the investment team to identify targets and leads deployment teams to drive value creation using data and analytics.
Aris Valtazanos
Aris leads analytics at WovenLight, applying cutting-edge data to a wide range of industries.
Devin Taylor
Devin is a Senior Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Gianni Giordano
Gianni is a Senior Data Engineer at WovenLight, applying data and software engineering techniques to drive operational improvement at WovenLight portfolio companies.
Joanna Li How Cheong
Joanna is a Senior Data Scientist at WovenLight applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Man Kit Siu
Man Kit is a Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Martins Frolovs
Martins is a Senior Product Engineer on WovenLight’s Development team, where he develops software to support sourcing, evaluation and diligence of investment opportunities.
Nicola Barnard
Nicola is WovenLight's Executive Assistant and Office Manager, with a broad remit to drive WovenLight forward across HR, finance, legal and many other operational areas.
Oscar Warner
Oscar is a Data Engineer at WovenLight, applying data and software engineering techniques to drive operational improvement at WovenLight portfolio companies.
Pamela Brent
Pamela is a Principal on the Investment team at WovenLight, where she leads activities across origination, execution and portfolio workstreams.
Simon Williams
Simon co-founded WovenLight with the purpose of investing to shape a better world, underpinned by cutting-edge technology and diverse talent.
Thomas French
Thomas leads Product Engineering at WovenLight, where he is focused on building technology that drives value across the end to end investment lifecycle.
Vlad Marinescu
Vlad is a Machine Learning Engineer at WovenLight, where he focuses on turning analytics plays into well-tested, reusable software components.
William Ashford
William is a Deployment Principal at WovenLight, leading our teams to drive operational improvement at WovenLight portfolio companies.
Zuzana Manhart
Zuzana is a Data Scientist at WovenLight, applying machine learning and other analytics techniques to drive operational improvement at WovenLight portfolio companies.
Careers
WovenLight believes in diversity of perspective, blending world class data, investment and engineering professionals. If building the next generation private equity firm excites you, we would love to hear from you.
Learn more about how we collaborate together to build our proprietary Dragonfly technology.
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