Don't check every system separately
Sites, assets, and gateway health are merged into one shared view.
MonitoringHive gives operators a dependable view of sites, assets, alarms, and data quality, without replacing existing building infrastructure. You start with a clear slice and extend once the value is visible.
For grown building infrastructure, multiple sites, and technical teams that want less flying blind.
Sample data 路 not a live customer view
Data scope, purpose, roles, and operating model are defined. The data comes from your infrastructure and stays your data in substance.
One site, one asset class, or one clear data flow is enough to start. Existing infrastructure does not need to be replaced.
Dashboard, alarms, data quality, reports, and Studio analysis grow from the same data foundation.
Offline-hardened is possible, but deliberately less flexible: integrations and extensions must be planned more thoroughly up front.
MonitoringHive should not just collect data. It should help operations teams see faster what is relevant, where data is missing, and which topics recur.
Sites, assets, and gateway health are merged into one shared view.
Gaps, sluggish data points, and implausible values become visible before they lead to wrong conclusions.
States and alerts become traceable, prioritisable, and reusable.
Trends, reports, and Studio analysis help discuss maintenance and investment with data.
MonitoringHive does not replace building automation and does not intervene uncontrolled in assets. The focus is on controlled data capture, cross-site operational overview, and data quality and alarms, defined concretely per site.
A structured path to monitor assets, from the first connection to a cross-site operational overview.
Install the Monitoring Box on site and connect it to the existing assets, via standard protocols and manufacturer-specific adapters.
Relevant measurement points are structured in the platform, with clear names, units, and asset assignment.
Sensible thresholds and escalation rules are configured, tuned to each asset type and site.
Site overview, data quality, open alerts, as a dependable basis for decisions and maintenance.
MonitoringHive is not designed to take over data sovereignty. The connected measurements, states, and operational data belong to your infrastructure. MonitoringHive helps to capture this data securely, prepare it traceably, and make it usable for operation, alarms, analysis, and reports.
Which data points are connected, which sites and systems are included, which roles and views are needed, you define this per project.
MonitoringHive provides encrypted transport, clear states, tenant-separated storage, and usable analysis, within the agreed boundaries.
Data use, access, and purpose are clarified per project. Nothing is automatically opened up, nothing is used without limit.
The entry can be deliberately low-risk: defined data points are captured read-only, connected in a structured way through the Monitoring Box, and made visible in the dashboard. Existing building or control systems do not need to be replaced unnecessarily.
The Monitoring Box can create local value. The full MonitoringHive benefit, however, emerges with secure platform connection: cross-site view, central alarms, Studio analysis, reports, data-quality comparisons, and long-term data models. Offline or on-premises remain possible if requirements demand.
Structured data points, local state overview, data quality, and configurable local buffering on site.
And still offline-capable on connection loss. With central dashboards, alarms, site comparisons, Studio analysis, reports, and long-term data models.
Offline-hardened is possible, but deliberately less flexible: integrations and extensions must be planned more thoroughly up front.
MonitoringHive doesn't have to start as a big project. A sensible entry begins with one site, one asset class, or one clear data flow. What matters is that in real operation it becomes visible: Which data holds up? Which alarms are relevant? Which analyses really help?
One site or one asset class, defined data points, Monitoring Box, dashboard, data quality, and security clarification.
Shows whether data quality, states, and first alarms hold up in everyday work.
Central view across multiple buildings, reusable data models, alarms, site comparison, and roles.
Shows which models, alarms, and views are reusable across sites.
Studio analysis, historical trends, operational reports, management reports, and long-term decision bases.
Shows which reports, trends, and Studio analyses improve decisions.
The full value emerges with secure platform connection: central dashboards, alarms, Studio analysis, reports, data history, and ongoing platform operation.
MonitoringHive begins in everyday operation: states, alarms, gateway health, and data quality. When this data is stably collected and cleanly modelled, reports, comparisons, and long-term decision bases emerge from it.
Sites, assets, current states, and gateway health.
Prioritised alerts, escalation logic, and traceable events.
Make gaps, dropouts, sluggish sensors, and implausible values visible.
Historical trends, site comparisons, reports, and decision bases.
Site and asset overview, active alarms, gateway health, data quality per data point, and role-based operational views, the working surface for people who need to keep operations in view.
Turn collected data into concrete insights, for optimisation, service conversations, and management reports on technical infrastructure.
We review with you which assets to connect sensibly first, which protocols are relevant, which security and data requirements apply, and what the data model should look like for your operation.