2468 Ventures

2468 Ventures is a San Diego-based AI and deep-tech micro-VC operating at pre-seed and seed. The fund is associated with Pankaj Kedia and focuses on artificial intelligence and deep technology rather than vertical healthcare. The source record flags the entity as not healthcare-relevant and lists no healthcare sub-vertical exposure.

The relevance for digital health and physician AI founders is therefore narrow. 2468 Ventures may be a marginal fit for horizontal AI infrastructure, model tooling, or compute-adjacent companies where healthcare is one downstream application among several, but it is not a clinical or healthcare-specialist investor and is unlikely to add value on regulatory, provider, payer, or pharma go-to-market questions. Founders building vertical clinical AI, hospital workflow software, EHR-adjacent tools, or payer-direct products should target healthcare-dedicated AI funds rather than this firm. 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 with a deep-tech orientation, expect small checks, technical due diligence, and a long horizon view of capital-intensive technology development.

Named team members are not provided in the input record beyond the source-note reference to Pankaj Kedia. The firm’s website is the right reference for confirming the partnership and current activity.

Approach 2468 Ventures only when you are a US founder building horizontal AI infrastructure or deep-tech with a clear technical moat, and you want a small early check from a San Diego-based fund with a deep-tech orientation. Vertical clinical AI, physician-facing software, and digital health founders should redirect outreach to healthcare-specialist funds and AI-in-healthcare-dedicated firms, where both the capital and the network add more leverage. The right entry is a warm introduction from a deep-tech founder in the San Diego or broader Southern California ecosystem, or via a fellow micro-VC. When pitching, lead with the technical primitive, the defensibility, and the underlying compute or model economics, because that framing matches the firm’s stated deep-tech thesis. Healthcare-specific narratives are unlikely to land and should be redirected to dedicated investors.