Ruvento Ventures

Ruvento Ventures is a Singapore-based venture capital and incubation firm that supports technology startups across early stages, including incubation and seed rounds. It focuses on AI, machine learning, Internet of Things, robotics, hardware, cleantech, and other disruptive technologies, as well as enabling technologies for web and mobile and sectors such as medical devices and data analytics. The firm pursues global investments with a regional tilt toward Southeast Asia and CIS markets, aiming to bring products to Asian markets including China, India, and Indonesia. Typical commitments range from tens of thousands to several hundred thousand dollars per project, with direct investments up to about 0.5 million and potential syndication to around 3 million. In its Singapore incubation program, it provides staged financing in two rounds: a proof-of-concept portion and a subsequent commercial-stage portion, totaling up to about 0.2 million. Ruvento operates from Singapore with additional offices in San Francisco and Shanghai, reflecting a global reach while maintaining a regional focus on Asia.

Gene Smiith

Venture Partner

Alex Toh

General Partner

Romanos Vetridis

Venture Partner

Alexandra Zotova

Partner

Past deals in Aviation

PreNav

Seed Round in 2016
PreNav develops autonomous drone-based inspection systems for infrastructure. Its solution combines a commercial drone, a ground-based guidance robot, and mission planning and data analysis software to assess complex assets such as cell towers, wind turbines, bridges, and buildings with centimeter-level precision. The platform enables automated capture of photos and measurements from targeted locations to create accurate 3D models and identify structural damage, wear, and key components like nuts, bolts, and cables. Founded in 2013 and based in San Carlos, California, PreNav has expanded its offerings to perform inspections on large industrial sites, including wind turbines, and uses computer vision and machine learning to automate localization, planning, and analysis, reducing the need for manual rope-access inspections and enabling data-driven asset management.
Spot something off? Help us improve by flagging any incorrect or outdated information. Just email us at support@teaserclub.com. Your feedback is most welcome.