Physical Fund

Physical Fund Research Investment Thesis Physical Fund is a nano-fund ($2M target) founded and managed by Nima Ashraf, a former robotics engineer turned venture capitalist. The fund invests exclusively at the pre-seed stage in "physical AI" — the application of artificial intelligence to the physical world through intelligent machines, automation systems, and robotics. Ashraf's thesis is built on a fundamental transition in robotics: from deterministic systems that can only operate in highly structured, controlled environments to probabilistic systems powered by modern AI that can function in dynamic, unstructured real-world settings. This transition opens up an enormous range of industries that have been impossible to automate reliably until now. The fund's defining strategic bet is on "boring legacy industries" — manufacturing, agriculture, logistics, and general infrastructure — rather than on household consumer humanoids. Ashraf believes the real opportunity and ROI lies in industrial automation for unglamorous but economically critical industries, where traditional VC has historically underinvested relative to the actual market opportunity. Stage Focus Physical Fund invests exclusively at the pre-seed stage. This is Nima Ashraf's deliberate entry point: he wants to be "the partner I wished I had" — an investor who comes in before institutional capital, when engineering credibility and hands-on support matter most. The fund typically leads or co-leads rounds at the earliest stage before other institutional investors are involved. Check Size $50,000 – $75,000 per initial investment. This is deliberately small, enabling high-conviction, concentrated bets at the earliest stages of company formation. The fund does not follow on into larger rounds by design, given the $2M fund size. Despite the small check, it gives founders a credible operator-investor from day one. Lead Tendency Leads at pre-seed. As the earliest institutional investor, Physical Fund typically sets terms and leads the initial round before other investors are involved. Fund Details Fund size : $2M (target) Fund vintage : 2025 Structure : Solo GP — all decisions made by Nima Ashraf alone Status : Actively deploying first fund (as of Q1 2026) Portfolio Highlights Physical Fund's four known portfolio companies are all stealth-stage pre-seed companies: Gatlin Robotics (gatlinrobotics.com): Develops mobile manipulator robots for commercial cleaning — floor cleaning, trash pickup, and surface wiping. The platform includes cloud-based fleet orchestration for task assignment, team coordination, and data-driven model improvement. A member of the NVIDIA Inception program. The founding team brings 13+ years of robotics, AI, and automation experience. Primate Intelligence (Primate AI) : Building predictive world models and JEPA-style agents for computer vision and embodied intelligence applications. Focused on enabling machines to build and use internal models of physical environments. Anaco : An early-stage automation startup. Details remain in stealth. Axomind : An early-stage physical AI startup. Details remain in stealth. Team Nima Ashraf — Founder & Managing Director Nima holds a B.S. in Mechanical Engineering from The Cooper Union (New York City) and spent his career in hands-on robotics engineering before founding Physical Fund. His background spans: Zoox (autonomous vehicles, acquired by Amazon): Engineer building self-driving vehicle systems (2016–2019) Miso Robotics (kitchen automation): Lead Engineer on commercial cooking robots Spin Master (consumer robotics): Senior Product Engineer (2019–2021) Survios (VR gaming): Robotics and hardware engineering MakerBot (desktop 3D printing): Quality Engineer NYU Langone Medical Center : Assistant Project Manager Nima also serves as a Venture Scout at Outlander VC and at Alliance for Southern California Innovation (Pasadena, CA), giving him deep roots in the Southern California deep-tech hardware ecosystem. He is based in Los Angeles, CA. Decision Process Solo GP: Nima Ashraf makes all investment decisions independently. This enables much faster decision-making than traditional VC partnerships or investment committees — a key advantage for early-stage founders who need quick answers. Founder Preferences Physical Fund specifically seeks "full-stack founders" — people who combine: Deep technical capability : Able to actually build the product themselves, not just direct a team Lived problem experience : Have worked inside the industry they are solving, not outsiders pattern-matching Unique, non-obvious insight : A genuine edge beyond riding the robotics and AI hype wave Entrepreneurial resilience : Prepared for long industrial sales cycles and slow enterprise adoption typical in manufacturing and logistics Nima is explicitly not looking for typical Silicon Valley credentials or pedigree. He values engineers who have shipped real products in hard environments — founders like himself. Key Differentiated Perspective Ashraf has identified the "lab-to-field deployment gap" as a central challenge in physical AI: robots that work reliably in controlled demos but fail in real-world deployments. Physical Fund specifically targets founders who are addressing reliability and durability in unstructured environments. He has also identified data scarcity as a unique challenge for physical systems: unlike software AI which can scrape internet data at massive scale, physical AI must generate proprietary training data through real-world robot operation — giving incumbents who can deploy robots at scale a significant compounding data advantage. Geographic Focus Based in Los Angeles, CA. No stated geographic restriction on investments. Active engagement in the Southern California startup ecosystem through Alliance for Southern California Innovation (Pasadena). Observations for F4 Matching Physical Fund is a highly specialized first-time-GP nano-fund. They are an unusual but potentially valuable addition to F4's investor network for robotics and physical AI deals. Key considerations: Check size is very small ($50–75K), limiting co-investment collaboration to the earliest pre-seed stages Strong engineering credibility makes Nima a valuable reference and validator for technical robotics founders Industrial-first thesis is highly specific and differentiated from generalist AI investors Most relevant when F4 encounters physical AI and robotics founders who need an earliest-stage champion with hands-on hardware credibility and operator experience