SGH CAPITAL Overview
Founded in 2014 by Alexandre Azoulay, SGH Capital operates as a platform of funds supporting technology-driven companies in the US and Europe. The firm deploys capital in early and mid-stage ventures, including direct equity, venture debt, and fund-of-funds investments. SGH Capital leverages a proprietary AI platform developed by a community of 7,000 scientists across 91 countries to make precise capital allocations. Their portfolio spans various sectors, including fintech, blockchain, enterprise technology, and robotics. The team comprises professionals with diverse backgrounds, including Alexandre Azoulay, who holds an MBA from Harvard Business School, and Karine Arama, who has extensive experience in investment banking and blockchain technology.
Is SGH CAPITAL the right investor for your startup? Browse their investment focus, stage preferences, and geographic scope to see how well they align with your fundraising goals. Your full match score with SGH CAPITAL, along with a list of other relevant VCs, is available on Hopohopo.io.
SGH CAPITAL
Investment focus
Invest in
- Nordics 1 / 9
- Western Europe
- Caribbean 24 / 25
- North America
- Central America
- South Asia 1 / 8
Investment role
Lead and follow
Stages
Seed, Series A
First ticket size
€1,500,000 - €3,000,000
Contact information
Partner
Karine Arama
Gestor de inversiones
Jose Hermida
How to approach funds like SGH CAPITAL
When reaching out to SGH Capital, highlight how your startup leverages technology to create defensible advantages or unlock new markets, especially if you can demonstrate traction or unique data insights. Emphasize your team’s technical depth and ability to execute in complex, competitive environments. SGH Capital values founders who can articulate a clear path to scalable growth and who are open to leveraging advanced analytics or AI-driven strategies to optimize business outcomes. If your company operates at the intersection of multiple sectors or geographies, be prepared to discuss how you navigate regulatory and operational complexities.
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