The organisations responsible for the world's most important infrastructure operate extraordinary physical systems through fragmented digital environments.
Heavy industry is at an inflection point. Real-time data and AI are reshaping how plants, assets, and operations run.
Sensors now generate more data than any team can act on, and the gap between the physical plant and its digital model keeps widening. At Muono, we build the tools for this new era of operations: one live environment where engineers, data, and AI models work together
Muono unifies live process data, 3D asset models, and predictive engines into one operating layer, so teams simulate, monitor, and act on a single source of truth.
We build for the hardest environments in industry; oil & gas, mining, and manufacturing, where uptime, safety, and margin depend on getting the model right. That focus shapes every decision we make.
What serious infrastructure demands from technology beneath it
A digital twin is only as reliable as the architecture beneath it. Asset relationships are stored as a graph, not as rows in a table, preserving the connections between every asset, document, live reading, maintenance record and decision.
Operational data is handled by purpose-built layers: time-series storage for sensor history, columnar infrastructure for high-volume analysis, and vector search for documents and operational context. Multiple users can work in the same environment without conflicting records. The result is a digital twin built for accuracy, scale and operational trust.
Our Path to Progress
We come from engineers who knew firsthand how fragmented industrial software had become — historians here, 3D models there, spreadsheets everywhere. We built a platform that unifies the operational layer so teams can focus on running the plant.
What we built
We didn't build this for technology's sake. We built it to make industrial operations safer, more reliable, and more profitable for the teams that run them.
Proven in production. Expanding from here.
