Niobia hardware box
on-prem bridge
For sites that cannot send data to the cloud, the hardware bridge is an on-premise appliance that runs the connectors and the reasoning layer inside the plant network, so instrument and line data is analyzed locally and never leaves the building. This is being built for early deployments.
What it measures
Some plants cannot move process and quality data off-site, for IP, security, or regulatory reasons. The bridge is the answer to that constraint:
- Local connectors: the instrument and line integrations run inside the plant network, reading exports and telemetry where they are generated.
- Local analysis: the reasoning and analysis layer runs on the appliance, so a result is produced without the underlying data leaving the premises.
- The data boundary: what crosses the plant boundary, if anything, is a deliberate choice, not a default. The starting assumption is that raw process and quality data stays inside.
The bridge is an infrastructure answer to a data-residency question, and like the rest of the integration layer it reads and analyzes rather than controls.
How to read the output
Evaluate an on-prem option by what actually stays local. A real bridge runs both the connectors and the analysis inside the network, so the sensitive data never has to leave; a thin shim that still ships raw data out for processing is not the same thing. The other axis is the same read-only boundary as the rest of the integration layer: the bridge observes instruments and lines and never actuates them. Niobia's bridge is being built for early on-prem deployments, and the honest framing is that it is a deployment option in progress rather than a shipping product today.
A real use case
A cell manufacturer with strict data-residency rules cannot send genealogy, process, or quality data to a cloud service, which would normally rule out an external analysis layer entirely. With an on-prem bridge, the connectors and the reasoning layer sit inside the plant network: cycler and instrument exports are ingested locally, line telemetry is read locally, and root-cause and yield analysis run on the appliance. The engineers get the same analysis they would in the cloud, and the raw data never crosses the plant boundary. The residency constraint that would have blocked the project becomes a deployment choice instead.
Common mistakes
- Calling a setup on-prem when raw data still leaves for processing. If the analysis runs elsewhere, the data residency promise is not real.
- Treating the bridge as a control device. Like every integration here, it reads and analyzes; it does not actuate instruments or lines.
- Underestimating the infrastructure: local connectors, local compute, and network segmentation are real engineering, not a checkbox.
- Assuming it ships today. The bridge is in development for early deployments, and Niobia says so rather than implying general availability.
Run the analysis where the data has to stay
The hardware bridge brings the integration and reasoning layers on-premise for sites that cannot use the cloud: the same instrument connectors and line telemetry reads run inside the plant network, and the analysis runs locally, so raw process and quality data stays in the building. It keeps the read-only boundary the architecture insists on, observe and recommend, never actuate. The honest status: the bridge is being built for early on-prem deployments. It is a deployment option in progress, and the data residency it is designed to protect is the reason it exists.
Frequently asked
What problem does the hardware bridge solve?
Data residency. Plants that cannot send process, genealogy, or quality data off-site can still use the analysis layer, because the bridge runs the connectors and the reasoning locally inside the plant network, and the raw data never leaves the building.
How is it different from a cloud deployment?
Location of compute and data. In the cloud, data is analyzed off-site; with the bridge, both the connectors and the analysis run on an on-premise appliance, so sensitive data stays local by default. The analysis itself is the same.
Is the bridge available today?
It is in development for early on-premise deployments. The cloud analysis layer and instrument ingestion are live; the on-prem bridge is being built, with the same read-only integration boundary as the rest of the platform.