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Hyperplane Venture Capital
Hyperplane is an early-stage AI and deep tech venture capital firm. They act as first-check, high-conviction partners to founders rebuilding the industries the...
Hyperplane Venture Capital
Hyperplane is an early-stage AI and deep tech venture capital firm. They act as first-check, high-conviction partners to founders rebuilding the industries the world runs on. They started in 2015 with the conviction that AI was ready to leave the lab and reshape those industries, and they believe the next generation of iconic businesses will emerge where AI meets workflows, infrastructure, and the physical world.
General information
Firm type
Venture Capital
Year founded
2015
Location
Region
North America
Country
United States
City
Boston
Corporate office
Boston, MA, United States
Principals
Vivjan Myrto
Founder & Managing Partner
Sector focus
Frequently asked questions
How does Hyperplane Venture Capital source proprietary deal flow?
Hyperplane's sourcing advantage derives from its technical focus on computational imaging and sensor-integrated AI. The firm pursues startups whose founding teams are often embedded in academic labs or advanced engineering departments where domains like machine vision and embedded systems are researched. This technical aperture acts as a filter that generalist seed investors cannot easily replicate.
What investment stages does Hyperplane Venture Capital typically target?
Hyperplane targets seed and early-stage investments, writing initial checks for startups that are often pre-revenue and focused on technical de-risking. The firm's strategy involves capitalizing companies during the prototyping phase, when the integration of software and hardware systems still represents the primary technical risk.
Which sectors does Hyperplane explicitly focus on?
The firm concentrates on AI/ML, robotics and automation, industrial technology, and enterprise software. Within these sectors, Hyperplane shows a preference for machine vision, sensor fusion, and computational imaging — applications where the data-generation layer is as important as the software model that consumes it.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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