One platform. Three layers.
No blind spots.

We prepare a master list of equipment and conduct a detailed field survey. Every potential leak source is tagged and mapped. At this stage, we also identify all emissions that can be minimised at the facility level to set a clear baseline.

Using AIRMO TDLAS sensor, we identify leaks, categorise them by type, and assess severity. Required repairs are logged and prioritised, laying the groundwork for effective mitigation and regulatory compliance.

We install or help you develop an in-house software solution tailored to your site. All tagged components are digitised and integrated into a searchable database, enabling streamlined tracking, inspections, and automated reporting.

We design a custom LDAR training programme for your field teams, ensuring they can confidently carry out inspections and repairs to the required standard.

For pipelines, AIRMO’s TDLAS drone sensor operates standalone — flying the route, detecting emissions, and attributing them to source. For more complex infrastructure — compressor stations, storage sites, processing plants — the drone combines with handheld sniffers and OGI cameras to pinpoint individual components down to valve level.

Document review. We analyse facility documents provided by the operator, including P&IDs, process descriptions, previous Level 4 reports, and equipment datasheets.

Flight planning. Monitoring plans are optimised for site layout and local weather (wind, temperature) to maximise data quality and spatial coverage.

Systematic UAV surveys. We collect high-resolution methane concentration data across the site using autonomous flight paths.

Data fusion. GPS and IMU data are overlaid to georeference measurements and correct for movement.

Leak quantification. Emissions are quantified using AIRMO’s proprietary algorithm.

Reconciliation with Level 4. We compare site-level results with existing component-level (OGMP Level 4) data. If discrepancies exceed OGMP thresholds, we trigger targeted re-measurements to reconcile.

Targeted ground validation. At critical units or where emissions are expected, OGI provides visual leak confirmation. FID is used for cross-validation and for detecting diffuse or low-intensity emissions.

Data ingestion. The platform continuously ingests public satellite feeds — Copernicus, NASA, GOSAT, and other proprietary missions, alongside AIRMO’s own survey data. From Q1 2027, AIRMO’s proprietary high-sensitivity satellite measurements.

Attribution. Our algorithms attribute detected methane enhancements to specific facilities, operators, and shareholders using georeferenced asset databases.

Quantification. Every detected event is quantified in kg/h, giving you direct financial and regulatory exposure.

Reporting. Super-emitters analytics on asset level, delivered as monthly customised reports.

When AIRMO’s own satellite launches, Global Insights upgrades from public data to proprietary LiDAR + SWIR fusion measurements. Active sensing operates in dust, cloud, and low-light conditions where all passive satellites fail. 50 kg/h detection threshold, 20km swath, weekly revisit per satellite , daily with the full constellation.