In 2024, Inferise emerged from an unexpected place: professional frustration. Two engineers, each working with sensitive intellectual property at organizations that had prohibited cloud-based productivity tools, watched the rapid progress of large language models from the outside. The productivity gains were real. The compliance risk was also real. For them, the tools that everyone else was using simply were not available.
The question they started with was narrow: could you run a capable inference engine entirely on local hardware, without sending a single token to a vendor server? They built what was meant to be a proof of concept. What they found was more useful than they expected: the proof of concept was capable enough to secure and observe AI usage before anything reached the cloud.
If you could see every prompt, every response, every data transfer at the hardware layer before it left the building, you had something more powerful than a cloud filter. You had architectural control.
The implications arrived quickly. If an inference engine could run at that fidelity inside a building, the data security problem that had blocked them, and blocked thousands of organizations in finance, healthcare, defense, and legal, had a structural answer. Not a policy, not a vendor agreement, not a compliance checkbox. An architecture.
They applied to LAUNCH Fund's Founder University. Within the cohort, the prototype became a product: Inferise Gateway, an AI control plane that ships as integrated hardware and software. Inferise is not a pure software company. The control plane lives at the hardware layer, purpose-built to give organizations the visibility, policy enforcement, and data sovereignty that regulated industries require, before AI traffic ever touches an external network.
