Monitoring infrastructure during construction is not a single task. It is a sequence of decisions, and each one depends on the quality of the last.
Most tools treat data collection, analysis, visualisation, alerting and reporting as separate steps. Sensly.io is designed differently. Sensly is built as a connected system that improves how monitoring work flows from data capture to reporting, reducing rework, preserving context, and helping engineers act with more confidence.
Detect abnormal behaviour early and respond to conditions that require attention. Sensly focuses engineering effort where it is needed.
Instrumentation data is continuous, but engineering attention is limited. On large projects, it is not practical to manually review all incoming data, which creates a risk that critical changes in sensor behaviour go unnoticed.
Basic threshold-based alarms are often insufficient. They can generate excessive noise or fail to reflect meaningful engineering conditions, leading to alert fatigue or missed signals. As a result, issues may only be identified late, or after they have already impacted safety, cost or compliance.
Sensly enables alerts to be defined using both raw and calculated data, allowing conditions to be based on engineering-relevant logic rather than simple thresholds. Multi-stage alarms provide structured escalation as conditions change.
Alerts are delivered in real time to the appropriate people through configurable notification channels. This ensures that attention is directed where it is needed, without overloading teams with unnecessary information.
Sensly provides structured alerting tools that help engineering teams detect, prioritise and respond to meaningful changes in sensor behaviour.
Sensly supports multi-stage alarm configurations, allowing teams to define different levels of severity based on how conditions evolve. This enables a graduated response, from early warning through to critical alerts, rather than relying on a single threshold.
Alarm stages can be aligned with project-specific criteria, reflecting how engineers assess risk in practice. This structured approach improves clarity around what each alert means and how it should be acted on.
By distinguishing between levels of urgency, multi-stage alarms help reduce unnecessary escalation while ensuring that critical conditions receive immediate attention.
Alerts can be triggered using calculated parameters, not just raw sensor values. This allows alarm conditions to reflect interpreted engineering metrics, such as rates of change or derived performance indicators.
By basing alerts on processed data, teams can focus on conditions that are more meaningful than raw readings alone. This improves the relevance of alerts and reduces the likelihood of false positives.
Using calculated parameters also ensures that alert logic is consistent with how data is interpreted elsewhere in the platform.
By using multi-stage logic and engineering-based conditions, Sensly reduces unnecessary alerts and focuses attention on meaningful events. This helps teams maintain confidence in the alerting system and respond more effectively when issues arise.
Sensly is designed to integrate with external communication tools such as Slack and Microsoft Teams. This supports alignment with existing project workflows and ensures alerts can be incorporated into established communication channels.
Alerts are delivered immediately through configurable channels, including email, SMS and in-platform notifications. This ensures that relevant stakeholders are informed as soon as conditions change.
Notification rules can be tailored to different roles or responsibilities, helping ensure that the right people receive the right information at the right time.
Sensly provides structured alerting tools that help engineering teams detect, prioritise and respond to meaningful changes in sensor behaviour.
