01 / MONITOR
See conditions as they change
Bring live operational readings, trends and events together for authorized users.
Secure IoT data platform
Operational data, connected to decisions.
Montrolive collects, stores and interprets operational IoT data. It brings monitoring, notifications, scheduling, control, reporting and integration into one project-configured platform.
For building teams, infrastructure operators and system integrators
From field signal to operational response.
Connect data sources, organize access and turn readings into dashboards, reports, notifications and approved integrations.
One platform · many operational views
Make useful data easier to see and act on.
Montrolive combines an IoT-aware data model with monitoring, workflows and controlled system access, configured around each project.
02 / RESPOND
Monitor, notify and act
Configure control, schedules, reports and user-defined notifications. Project-specific features can include AI-assisted interpretation where implemented.
03 / CONNECT
Integrate on controlled terms
Expose approved functions through connector APIs, with separate identities and access assignments.
AI capabilities · configured for the use case
From operational data to explainable insight.
Montrolive can support AI-assisted analysis that helps teams understand current conditions, investigate abnormal behaviour, anticipate demand and assess possible actions. Depending on the project, this can combine engineering rules, statistical analysis, machine learning and optimization. AI features are implemented and validated for the available data and agreed application.
Describe
Bring key measurements, energy use, equipment status and performance indicators into a clearer operational view.
Detect and diagnose
Identify unusual readings or operating patterns and support investigation using related points, events and operating context.
Predict
Estimate loads, demand or performance using historical data and relevant context such as schedules and weather, where available.
Recommend
Rank potential actions for operator review, with evidence and project-defined constraints.
Assist with operations
Where generative AI is implemented, summarize alarms, explain trends, retrieve approved documents and help prepare reports.
Measure results
Compare performance with an agreed baseline and reporting boundary. Opportunities and forecasts remain distinct from verified savings.
- Energy baselines and expected-versus-actual comparisons
- HVAC and plant fault detection and performance analysis
- Solar, utility and industrial resource-use analysis
- Demand forecasts and abnormal-condition indicators
Governed by the project: AI findings can be presented as information or advice. Any control action requires a separately defined and tested workflow with approved points, operating limits and permissions. Local equipment protections remain authoritative.
Custom studies · extensible applications
Studies and plug-ins shaped around your operation.
Montrolive can be extended with project-specific studies, calculations, dashboards, reports and analytics. A study can combine selected measurements, apply agreed rules or calculations, and present its results as trends, indicators, alarms or recommendations.
Custom studies
Build analysis around a particular plant, process, resource or operating question.
Plug-in applications
Connect specialist analytics to Montrolive data and services through documented, authenticated interfaces.
Java-based extensions
Use Montrolive’s Java Servlet application environment and connector APIs for suitable project-specific components and integrations.
- Define required inputs, units, calculations and outputs
- Configure project dashboards, reports and notifications
- Set access permissions and integration responsibilities
- Review compatibility and security before deployment
For controlled operation: an extension uses approved Montrolive interfaces. Any requested write action follows the project’s permissions and approval controls; third-party analytics are not designed to bypass the controls of connected equipment.
A clear path for operational information
Connect what you have. Make the signal useful.
Each project defines its data sources and interfaces. Montrolive brings the approved information into a consistent place for people and connected applications.
Equipment and sensors
Building systems, meters and IoT devices provide project operational data.
Project connections
Gateways, applications and integration services connect field systems; direct protocol support is defined per project.
Montrolive platform
Configured services organize, present and record information for monitoring and follow-up.
People and systems
Authorized users work through browser or PWA views; approved applications initiate API connections.
Solutions
Examples of connected applications.
From buildings and industrial operations to utilities, infrastructure and solar plants, configure the views, data model and integrations around the site and the people responsible for it.
Building systems and energy
Bring BMS, HVAC, utility and sub-meter information into shared dashboards, trends and reports.
Track resources and processes
Monitor electricity, water and other plant-specific utilities alongside selected process conditions and equipment status.
Solar plant production
Track solar energy production, cumulative generation, inverter or plant status and performance trends using the available plant data.
Standards and custom protocols
Connect through BACnet, Modbus, M-Bus, SNMP and other project interfaces. Custom protocol integration can be assessed when protocol details are available.
MQTT through a protected broker
Transfer telemetry through an MQTT broker using project-configured encryption, client authentication and access controls.
AI, studies and plug-ins
Add project-specific analytics and custom applications to answer operational questions and support better decisions.
Explore AI capabilities Explore custom studies and plug-insDeployment options
Choose a hosting model that fits the project.
Montrolive supports public cloud, private cloud and dedicated on-premises deployments. The selected design depends on the organization’s hosting, identity, network and support requirements.
Public cloud
Access across sites and teams
A centrally managed hosted environment for approved users and connected locations.
- Regional hosting and network design set for the project
- Browser and PWA access for authorized users
- Backup and cyber controls confirmed for deployment
Private cloud
Use an organization-controlled environment
Hosting within the organization’s chosen cloud environment, with clear ownership and support boundaries.
- Platform ownership and patching responsibilities defined
- Capacity and identity integration planned per project
- Backup and recovery objectives agreed for deployment
On premises
Run within the client network
A dedicated local or restricted-network deployment for organizations that require the platform on site.
- Server sizing, local redundancy and firewall rules scoped
- Certificates and operational ownership confirmed
- Backup, recovery and support responsibilities agreed
Reference technology: Linux · Java Servlet · built-in servlet container · PostgreSQL · responsive HTML5/PWA · JSON and project-specific integration formats
Access with accountability
Designed to keep access deliberate and traceable.
Montrolive separates browser, connector, administrative and database channels. Security, performance, availability and recovery requirements are confirmed for each deployment and verified during acceptance.
01
Protected communication
Required channels are designed for SSL/TLS, with TLS 1.3 as the reference standard; certificates and final settings are confirmed per deployment.
02
Role and function permissions
MFA is supported for browser users. Groups and function-level permissions control access; connector APIs are mapped separately.
03
Traceable activity
The audit trail records user activity and data modification, including automated processes.
04
Continuity options
Scheduled backups and optional real-time replication can be included in the deployment design.
Start with your use case
See how Montrolive could fit your operation.
Tell us what you monitor, where the data comes from and who needs to use it. We’ll arrange a focused platform demonstration.
Request a demo
Tell us what you’d like to monitor.
Share a few details about your organization and application. The Montrolive team will contact you to arrange a suitable demonstration.
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