MFV Partners

www.mfvpartners.com

VCMatch tracks MFV Partners as an investor focused on AI/ML, Robotics, and Quantum companies, Seed and Series A rounds, and United States and San Francisco Bay Area markets. Upload your deck to compare your startup against the full private matching profile.

Check Size

Not specified

Stages

Seed, Series A

Focus Areas

AI/ML, Robotics, Quantum

Geography

United States and San Francisco Bay Area

Investment Thesis

MFV Partners is an early-stage, engineering-led deep tech VC that backs “visionary deep tech entrepreneurs” building foundational technologies to “transform large industries” and “create lasting value.” They argue that solving major industry and societal challenges — from labor shortages to the climate crisis — requires “radically new capabilities and novel technologies,” and they focus on long-horizon, platform-level technologies (sensors, AI, robotics, quantum, IoT, next‑gen compute) that can disrupt traditional ecosystems and drive sustained value creation.

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Investment Focus

Who should take a closer look

MFV Partners is most relevant for founders raising Seed and Series A rounds in AI/ML, Robotics, Quantum, and Semiconductors, especially across United States and San Francisco Bay Area.

Focus statement

MFV is an early-stage US deep-tech fund focused on Robotics / Physical AI, Quantum / Next‑Gen Compute, and the Energy Transition, and targets startups transforming large sectors such as Automotive, Manufacturing, Energy, Agriculture and Healthcare.

Value Add

Engineering-led orientation: emphasis on "engineering-led innovations in sensors, AI, robotics, quantum computing, IoT, and other deep tech areas" (site language).
Deep computing thesis evidenced by specific investments — e.g., Analog Inference (edge AI inference) and PsiQuantum (silicon‑photonic quantum computing) — showing a willingness to back both near-term edge compute and long-term quantum scale.
Sector breadth across large, legacy industries (Auto, Manufacturing, Energy, Agriculture, Healthcare) rather than only consumer or SaaS plays.
Early-stage specialization with hands-on, experienced team based in the San Francisco Bay Area (founded 2018).
Practical product-level metrics in diligence: example thesis for edge AI prioritizes "performance per Watt" and "server-like performance with an edge device like power profile."
Collaborative co-investment approach — works alongside prominent VCs and tech luminaries (examples: Khosla Ventures, Andy Bechtolsheim, Canaan, Emergent Ventures).
Operational adaptability demonstrated by remote diligence and deal execution (Boostup.ai investment "managed and done completely through Zoom").