3cubed VC

3cubed VC is a San Francisco-based technology micro-VC operating at pre-seed and seed across general technology categories. It is distinct from 3cubed.ai, which is a regulated-industries marketing agency rather than an investor. The source record flags 3cubed VC as not healthcare-relevant and lists no healthcare sub-vertical exposure. For physician AI and digital health founders, this is not a healthcare investor.

The stated focus is technology and AI, with healthcare not appearing as a sub-vertical in the source record. Founders building horizontal AI, developer tooling, infrastructure, or productivity software where healthcare is one of many possible vertical applications could in principle be a marginal fit, though dedicated AI funds and healthcare-specialist AI funds will be a higher-leverage target. Portfolio companies are not disclosed in the input record.

Check size is not specified in the source record. Stages are pre-seed and seed, with United States geographic scope. As a micro-VC, the fund’s check sizes are likely small and the deal selection is concentrated, which means thesis fit is critical to even getting a meeting.

Named team members are not provided in the input record. The firm’s website and LinkedIn page are the right references for partner identification before any outreach.

Approach 3cubed VC only when you are a US founder building horizontal AI or technology software where healthcare is at most a downstream application, and you want a small Bay Area-based early check. Vertical clinical AI, physician-facing software, and healthcare workflow founders should not invest pitch effort here and should redirect to healthcare-dedicated funds, where both the capital and the partner network add real leverage. Verify that you have the correct entity, since the name 3cubed is shared with 3cubed.ai, an unrelated regulated-industries agency. The right entry, if a fit exists, is a warm introduction from a Bay Area technology founder or fellow micro-VC who has worked with the firm. When pitching, lead with the technology primitive and the defensibility, because that framing matches a generalist tech micro-VC’s underwriting. Healthcare-specific founders should treat this firm as out of scope and target healthcare AI specialists instead.