Perceptron Mk1 is a multimodal AI model exposed via production API, designed for applications that need to understand and reason about video in physical-world contexts. Its temporal grounding capability lets the model reason about when events occur across a video sequence — not just what's visible in a given frame — which matters for tasks like robotics, process monitoring, or activity recognition. Structured visual outputs return machine-readable data rather than raw text, making it practical to pipe results directly into downstream automation pipelines. The 32K multimodal context window handles long video sequences alongside other input types without chunking workarounds. Pricing is volume-oriented, positioned for high-throughput production workloads rather than occasional API calls. Developers get a clean API surface without managing their own model infrastructure, and the model is built to handle the latency and throughput demands of real-world deployment.