Hyperplane Venture Capital is a Boston based early stage firm backing founders transforming the industries the world depends on, where AI meets workflows, infrastructure and the physical world. Its name comes from machine learning: a hyperplane separates signal from noise. Founded by former machine learning entrepreneurs who built and sold an AI startup, it brings operator experience in commercialising hard AI products.
The thesis is high conviction and early. Hyperplane Venture Capital started in 2015 with a conviction that AI was ready to leave the lab and reshape the industries the world runs on. It writes first cheques into companies before they become consensus, and supports founders through wins and setbacks and across multiple ventures. It is comfortable with technically intense teams attacking physical world problems that may not look like obvious hot deals at seed stage, but can become category creators in regulated systems.
On sectors and stages, Hyperplane Venture Capital invests in early stage companies in artificial intelligence and machine learning, distributed systems, automation, cloud computing, ambient intelligence, robotics, virtual reality and augmented reality. Its site highlights AI meeting workflows, infrastructure and the physical world, with featured companies spanning autonomous systems, distributed inference, ultra secure project management, conversation understanding, physical AI for supply chains, and farming technology. Stages are seed to Series B and beyond for follow on, with core work at pre seed and seed, where a first cheque and technical partnership matter most.
On fund size, a single headline fund total is not publicly disclosed in sources reviewed, and no fund closing total was recorded in the databases checked. Treat fund size as not publicly disclosed, rather than quoting a database estimate as a closed fund. On cheque size, secondary coverage reports an average range of $250,000 to $3 million, with seed to Series B plus follow on activity. That is a reported guide from a secondary source, not a figure stated on the firm's own homepage, so use it as an indication of ticket scale, not a guaranteed range.
The portfolio reflects the physical world thesis. Featured companies include Autolane for the autonomous era, Flume Fabric as a distributed inference network, Integrate for ultra secure project management, Modulate for conversation understanding, Pickle Robot for physical AI in supply chains, and Greeneye Technologies for farming technology. Broader listings also include Biobot Analytics, LinkSquares, Tive and MachineMetrics. Independent databases list more than 140 investments. No full partner roster, accelerator programme or credits catalogue was found on the homepage reviewed.
How to apply for funding
There is no single public application portal with a stated form and deadline on the firm's official site reviewed. Founders normally approach Hyperplane Venture Capital through hyperplane.vc, through a warm introduction from a portfolio founder or Boston deep tech contact, or through direct outreach to the investment team. Lead with the technical problem, the physical world deployment, and why the company needs a first cheque before consensus. A demo in a real environment is likely to carry more weight than a slide deck alone.
Why it matters for founders
For deep tech founders, Hyperplane Venture Capital matters because it specialises in the hardest early stage: AI that must work in the physical world, in regulated or operational settings, before the market agrees it is obvious. The trade off is a smaller, Boston centred, technically demanding investor, not a generalist fund. If your AI system solves a real operational problem and you want a first cheque partner who has built such systems, approach this firm early.