Asset monitoring with trustworthy readings
Define sensor identity, calibration, units and device ownership. Show missing or stale readings explicitly and test buffering where the equipment supports it.
Turn device and sensor readings into useful operational dashboards, alerts and follow-up workflows across your sites and assets.

Start with a defined operational problem, then connect the right devices, gateways and business workflows. Keep readings meaningful with asset context, thresholds, ownership and a practical response process.
Bring asset readings and device status into a shared operational view.
Highlight out-of-range readings for the responsible team.
Link alerts to investigation, maintenance and resolution records.
Organise devices by site, asset and owner, with identifiers and installation context.
Assess MQTT, HTTP or industrial gateway connections against the interfaces your equipment supports.
Visualise readings, historical trends and last-received times for the measurements that matter.
Define acceptable ranges, notification recipients and escalation paths for abnormal conditions.
Turn selected events into follow-up tasks or maintenance requests with an accountable owner.
Plan device credentials, network separation, data retention and authorised access from the outset.
Monitor operating conditions and connect abnormal readings to maintenance review.
Track temperature or humidity against agreed ranges and keep a history for operational investigation.
Bring energy, water or environmental readings together by site, floor or asset group.
We confirm requirements, dependencies and acceptance criteria with your team. The proposal sets out the included capabilities, integrations and responsibilities.

Choose assets, measurements and the operational decisions they support.
Test device communication, timestamps and reading quality in a pilot.
Configure dashboards, thresholds and notification workflows.
Review alerts, maintenance actions and device health as the deployment grows.
Connected asset monitoring turns device readings into operational context. Useful IoT applications show timestamps, connectivity and alert ownership, not only a live-looking chart.
Define sensor identity, calibration, units and device ownership. Show missing or stale readings explicitly and test buffering where the equipment supports it.
Agree thresholds, acknowledgement and escalation before connecting an alert to a work order. Monitoring supports maintenance decisions but does not replace certified safety control.
Predictive models need suitable history, failure examples and measured error rates. A threshold warning is not predictive maintenance, and an AI label does not establish accuracy.
Extend monitoring with data-quality checks, alert discipline and a clear operating model for device maintenance.
Explore these extensions during discovery. Availability, configuration, integrations and service commitments are confirmed in your agreed scope.
Discuss units, calibration history, acceptable ranges and how missing or implausible values are marked in reports.
Explore persistence windows, acknowledgement rules and escalation ownership so teams can distinguish a brief fluctuation from an actionable event.
Document installation, credential renewal, battery or connectivity checks and the process for replacing a failed sensor.
Often, but compatibility depends on the available protocols, gateway options and access permissions. Share equipment models and sample data for an assessment.
Hardware sourcing, installation and connectivity can be discussed during scoping. The proposal identifies which devices and services are included and who maintains them.
The design should expose stale readings and disconnected devices. Buffering and replay depend on the device or gateway and must be tested in the pilot.
Yes, where a task or maintenance integration is included. We agree trigger rules, ownership and acknowledgement steps before enabling it.
This offering is for operational monitoring and workflow support. Safety-critical control requires separately engineered and certified systems; dashboard alerts must not replace those controls.
Agree acceptable ranges, duration thresholds and ownership using real operating conditions. Review false positives during the pilot before widening the rollout.
Assign calibration and maintenance ownership in the project scope. Software can surface suspect readings, but the measurement still depends on suitable hardware and installation.
Balance operational investigations, storage cost and any applicable obligations. Confirm raw-data retention, aggregation and export requirements before deployment.
Feedback is sent privately to the DO ALL team by email. Public review publishing is currently paused.
Bring fleet maintenance, equipment service schedules, work orders and spare parts into one coordinated maintenance workflow. Plan preventive maintenance, track repair costs and give technicians a clear next action across vehicles, machinery and facilities.
Learn more →Plan, produce and ship with full visibility from raw material to finished goods.
Learn more →Design no-code workflows that route approvals, trigger actions and eliminate repetitive tasks.
Learn more →Walk us through your locations, users and daily workflows for a focused demo.