Deploys capital into pre-product, pre-revenue nascent-stage B2B AI-stack early-phase companies, using a curated CIO/enterprise-buyer network as a systematic market-validation machine and prior seed wins like Snowflake and Gong. Through targeted capital deployment, the fund plays an active role in the startup ecosystem.
Ranked by shared stages, industries, geography, cheque size and investor type. 400 related investors in the directory.
Invests at idea/inception stage before pre-seed—often pre-company—focused exclusively on developer-first enterprise infrastructure, acting as a cofounder-like partner and running programs that train early founders in bottoms-up growth. With a disciplined investment approach, the team drives value for both founders and investors.
Independent VC using an aerospace systems lens to back dual-use deep-science technologies (quantum, hydrogen, climate, materials, space), prioritizing founders with outstanding technical leadership and first-principles engineering expertise. The firm continues to build its presence across the venture capital landscape.
Nascent-stage partner for technology and software companies dedicated to serving emerging markets.
Formative-stage investor writing $1–25M checks, operating as a tiny, operator-led team (founder Jack Altman) that maintains direct founder relationships and is a preferred AI/software co-investor with Sequoia and Y Combinator. The firm continues to build its presence across the venture capital landscape.
Funds exceptional venture leaders building automation in traditional industries using ML/AI to enhance security, productivity tools for distributed work. A key differentiator: and upskilling for the trajectory.
Pre-seed (first $250K–$2M) investor for technical founders building enterprise data, AI infrastructure and security; founder-led AI engineer presenting whole-stack perspective, AI-native experiments and Sand Hill Road graduation proven history. Through targeted capital deployment, the fund plays an active role in the startup ecosystem.
