MetScan(Hardware) + AIRINS.ai(Software)
UAV Methane 3D Screening & Quantification

Intelligent Automated Scanning Patterns for Pipelines & Facilities

Validated Leak Detection Accuracy — Explainable & Reproducible

AIRINS.ai 2D/3D Mapping
Overlays & AI Hotspot Localization

Follow-Up Ready
Report, Insight &
Quantification

Rapid, repeatable coverage across upstream, midstream and downstream assets

Applications

Pipelines

Rapid methane screening across long pipeline segments for routine LDAR inspection programs.

Aligned to LDAR workflows referenced in the EU Methane Regulation. MetScan enables repeatable pipeline screening, organizes mission history in AIRINS.ai (AAI), and exports inspection outputs to support follow-up actions and internal documentation.

Especially valuable where ground access is difficult (remote terrain, crossings, restricted or slow access).

Also well suited for post-maintenance checks, screening after construction or excavation near the pipeline, and rapid investigation of suspected leak events.

Facilities

Rapid methane screening across sites, pads, stations and plants with distributed leak sources.

Supports OGMP 2.0 workflows as a preliminary step before site-level top-down quantification, and LDAR workflows referenced in the EU Methane Regulation. MetScan helps pinpoint likely component- and source-level leak locations, prioritize repairs, and narrow gaps between bottom-up and top-down estimates.

MetScan + AIRINS.ai can also support offline, trial methane quantification workflows in collaboration with the Soarability team, providing emission-rate estimates (e.g., kg/h). This capability is not included as a default functionality in every deployment.

Especially valuable for large facilities, where repeated coverage helps teams focus follow-up on the most likely leak components and areas, in both routine screening and before/after maintenance checks.

Regulatory Alignment

Supports LDAR-style screening and data governance workflows referenced in these frameworks

LDAR-style screening & inspection documentation

Detection & follow-up for reconciliation workflows

Access control & data governance

Typical Workflow

Designed for long, linear pipeline assets where teams require routine LDAR-style screening along the pipeline.

The UAV follows the pipeline while MetScan performs an automated belt sweep to expand coverage to the left and right of the route, forming a continuous “belt” of geo-referenced methane measurements. By covering a wider cross-section around the pipeline on each mission, the screening reduces the chance of missing a gas cloud, even when wind direction varies.

At the same time, MetScan’s built-in imaging system records synchronized video along the mission, providing visual context for any elevated signals.

Belt Scan supports both waypoint flights and manual flights, enabling fast coverage and repeatable screening over the same pipeline segments, with data and video aligned for consistent review and follow-up.

During each mission, operators can preview real-time screening data in AIRINS.ai (AAI) for a quick quality check, helping confirm that coverage is sufficient before the flight is completed.

After the mission, the full video and measurement dataset can be uploaded to the cloud over Wi-Fi by default, with Starlink or mobile hotspots also supported so data can be synced directly from the field. Where no connectivity is available, data can be copied via USB-C to a computer for upload as a backup.

This store-and-forward workflow lets teams keep flying even when network quality is poor, while ensuring every mission is saved in AIRINS.ai (AAI) for later review, analysis, and documentation.

For EU users, uploaded missions are managed under GDPR-aligned data governance, with access controlled through your main and sub-accounts.

Once missions are synced, complete screening results are visualized in AIRINS.ai (AAI) as interactive 2D and 3D maps with methane concentration overlays across the screened areas.

Operators can zoom and rotate the scene, move along the mission timeline, and cross-check synchronized video to understand where elevated signals appear in relation to specific assets, terrain, and surroundings.

Historical missions can be revisited to re-check findings and compare results across runs, helping teams prioritize follow-up efforts on the areas with the highest likelihood of leaks.

AIRINS.ai (AAI) turns each mission into follow-up-ready outputs.

The generated AI-assisted methane screening reports summarize the mission and highlight suspected hotspots with supporting evidence including methane indicators, dual-view imagery, and precise coordinates. Shareable map links help on-site teams navigate directly to locations of interest.

Visual heatmaps and structured data (.csv, .json, .shp) can be exported for use in internal systems and workflows. Animated 2D and 3D views, along with simple screenshots or short screen recordings, make it easy to brief stakeholders.

Identified hotspots can then be verified using ground-based tools such as handheld sniffers and OGI cameras as part of the broader LDAR process.

Pipelines - Workflow

Designed for facility screening where potential leak sources are spread across sites, pads, and plant areas.

When UAVs cannot enter the site, Sector Scan allows the pilot to hover near the facility fenceline and run an automated sweep that generates geo-referenced methane measurements across the facility, providing broad coverage without flying inside.

When flying over the facility is allowed, Belt Scan creates belt-shaped coverage over defined areas inside the site. The UAV follows waypoint or manual paths while MetScan scans throughout the mission, building a continuous band of geo-referenced methane measurements. With the laser beam approaching the target area at an incident angle close to 90°, Belt Scan typically delivers higher data quality than fenceline-only Sector Scan.

Together, the two modes support repeatable, LDAR-style screening and help narrow suspected leaks down to specific units and components for handheld sniffer and OGI camera follow-up.

During each mission, operators can preview real-time screening data in AIRINS.ai (AAI) for a quick quality check, helping confirm that coverage is sufficient before the flight is completed.

After the mission, the full video and measurement dataset can be uploaded to the cloud over Wi-Fi by default, with Starlink or mobile hotspots also supported so data can be synced directly from the field. Where no connectivity is available, data can be copied via USB-C to a computer for upload as a backup.

This store-and-forward workflow lets teams keep flying even when network quality is poor, while ensuring every mission is saved in AIRINS.ai (AAI) for later review, analysis, and documentation.

For EU users, uploaded missions are managed under GDPR-aligned data governance, with access controlled through your main and sub-accounts.

Once missions are synced, complete screening results are visualized in AIRINS.ai (AAI) as interactive 2D and 3D maps with methane concentration overlays across the screened areas.

Operators can zoom and rotate the scene, move along the mission timeline, and cross-check synchronized video to understand where elevated signals appear in relation to specific assets, terrain, and surroundings.

Historical missions can be revisited to re-check findings and compare results across runs, helping teams prioritize follow-up efforts on the areas with the highest likelihood of leaks.

AIRINS.ai (AAI) turns each mission into follow-up-ready outputs.

The generated AI-assisted methane screening reports summarize the mission and highlight suspected hotspots with supporting evidence including methane indicators, dual-view imagery, and precise coordinates. Shareable map links help on-site teams navigate directly to locations of interest.

Visual heatmaps and structured data (.csv, .json, .shp) can be exported for use in internal systems and workflows. Animated 2D and 3D views, along with simple screenshots or short screen recordings, make it easy to brief stakeholders.

Identified hotspots can then be verified using ground-based tools such as handheld sniffers and OGI cameras as part of the broader LDAR process.

Facilities - Workflow

Output & Deliverables

Visualization

Try interacting with a small subset of AIRINS.ai’s visual functionalities below: click and drag to explore 2D/3D MetScan screening views, scroll to zoom, and use the icons to switch between Point Cloud, Grid, Ray and Interpolation heatmaps to see where methane signals concentrate.

AI-Assisted Report

AIRINS.ai turns each mission into a structured, actionable report. It summarizes flight coverage, screening mode, and provides a ranked list of suspected hotspots with coordinates and ppm·m levels. Each hotspot includes supporting imagery and an SNR-based confidence score.

Reports can be exported as PDF or editable DOCX for sharing and follow-up. The report also includes shareable Google Maps links to help field teams navigate directly to suspected hotspots found.

The report includes:

Cover page

Executive summary

Methods & QA/QC

Suspected hotspot details

1/1

Limitations & cautions

Glossary & units

1/1

Other Outputs

AIRINS.ai supports GIS-ready exports, including shapefiles (.shp) and structured data (.json) for integration into existing mapping and asset systems. For internal analysis, users can also export tabular data (.csv) to support review and recordkeeping across missions, and generate animated playback of screening results for briefings and discussions.

CSV

GeoJSON

Shapefile

Animations

Technology That Makes Every Inspection Count

Hardware

Diffuse-Reflection OP-TDLAS

MetScan uses a diffuse-reflection OP-TDLAS configuration to measure methane. A tunable laser beam is projected onto ground and facility surfaces, and the back-scattered light is analyzed at methane-specific wavelengths to derive stable, repeatable path-integrated measurements.

These measurements are geo-referenced and sent to AIRINS.ai (AAI) for visualization, analysis, and reporting.

Plug & Play UAV Integration

MetScan integrates seamlessly with DJI Matrice 350/400 via the DJI Payload SDK and SkyPort gimbal, running directly in the DJI Pilot App for safer, streamlined operation. No extra third-party app is required.

For non-DJI UAVs, a platform-agnostic integration kit provides onboard RTK-GNSS and IMU (gyroscopes and magnetometers), so MetScan can precisely determine its position, attitude, and laser footprint. The kit only requires power from the host UAV, keeping MetScan a largely self-contained payload for accurate methane screening across different platforms.

Data Output Frequency

MetScan streams data at up to 50 Hz, delivering ultra-dense methane sampling that captures even small plumes with confidence—a capability that is essential for precise emission quantification.

Dual-View Imaging System

MetScan records synchronized telephoto and wide-angle video on the same mission timeline, so each event can be reviewed with both close-up detail and wide-area context.

Context-Enriched Recording

Each clip is automatically tagged with flight time, methane concentration, SNR intensity, range, UAV position (lat/long), and relative altitude, keeping screening results traceable for later review and reporting.

See a sample

Powerful Class 3R Laser

A Class 3R laser provides considerably higher optical power than typical Class 1 sources, supporting stronger return signals and a longer effective measurement distance.

As with any Class 3R laser, direct eye exposure should be avoided.

Computational Hub

Inside MetScan, a high-performance 8-core CPU delivering up to 6 TOPS of compute power handles real-time sensor signal and image processing, motion control, and data handling—all running on a powerful compact onboard computer.

Low False-Alarm and Missed-Alarm Rates

MetScan is engineered to achieve low false-alarm and missed-alarm rates through advanced laser and optics design, precise optics calibration, a proprietary false-alarm suppression algorithm, and dynamic signal-to-noise ratio (SNR) post-processing.

Ultra-Stable 3-Axis Gimbal

In-house developed ultra-stable 3-axis gimbal to maintain precise pointing and measurement stability across UAV motion and wind conditions.

Yaw

Pitch

Roll

See it in action

Thermal-Aware Exterior Design

MetScan’s silver, reflective housing is designed to minimize heat absorption during outdoor missions, reducing thermal load from sun exposure. This helps keep internal temperatures stable, protecting sensitive optics and electronics, supporting consistent measurement performance and longer component life.

Software

Multi-Region Data Hosting

Regional hosting in the EU, US, Singapore, and China to support data residency, compliance, and low-latency access.

Tailored User Experience

UI/UX designed specifically for methane screening workflows, with a clear and intuitive interface so teams can learn the system quickly and keep training effort low.

2.5D / 3D Reality Integration

Visualize MetScan screening data in 2.5D and 3D site models, from simple white buildings to detailed 3D meshes—for clear spatial context and precise leak localization.

One-Click Report Generation

Generate standardized methane screening reports with one click, without manual exporting or formatting.

AI Hotspot Identification

AI automatically flags methane hotspots and suspected leaks, guiding teams to the highest-risk locations first.

On-Premises Deployment

Available as an option: private, customer-controlled deployment on your own infrastructure for high-security environments.

Field Missions Gallery

MetScan payload mounted on a DJI Matrice 400 platform (single gimbal mount setup), ready for a methane screening mission.

MetScan mounted on a DJI Matrice 400 platform (single gimbal mount setup) during a live methane screening demo in Indonesia, with Halo Robotics pilots operating the mission.

This post-wildfire methane-screening mission assesses damage to the landfill-gas (LFG) collection system. Using AIRINS.ai, we generated an interpolated heatmap that highlights multiple methane hotspots. From the time-series graph we selected a high-concentration point (75,581 ppm·m); its position is marked on the heatmap with a pin. Imagery for the same point reveals disconnected pipelines—evidence of wildfire-related damage.

MetScan payload mounted on a DJI Matrice 400 platform (single gimbal mount setup), ready for a methane screening mission.

Frequently Asked Questions

1. What types of problems is MetScan + AIRINS.ai best suited to solve?

MetScan + AIRINS.ai is best suited for methane leak screening and localization at scale, helping teams efficiently cover large pipeline and facility areas, pinpoint likely leak locations, and prioritize follow-up verification and repair work. In addition, the solution can support offline, trial methane quantification workflows where dedicated flights and AIRINS.ai processing are used to estimate emission rates in collaboration with the Soarability team (rather than as a default functionality).

2. What applications does MetScan + AIRINS.ai support?

MetScan + AIRINS.ai supports two primary scenarios: pipelines and facilities screening, with different scanning modes optimized for each.

3. Is MetScan + AIRINS.ai only for the natural gas / oil & gas industry? Can it be used for other applications (e.g., landfills)?

MetScan + AIRINS.ai was engineered primarily for natural gas and oil & gas scenarios, where fast, repeatable methane screening and geo-referenced mapping are required. However, the same methane screening workflow may also be applicable to other methane-emitting sites - such as landfills (LFG - related operations) - depending on site conditions, operational constraints, and the type of outputs you need. If you share your site type, survey area, and objective (screening, localization, mapping / reporting), we can advise on fit and the recommended workflow.

4. Does MetScan + AIRINS.ai provide methane quantification?

Yes. In addition to methane leak screening and localization, MetScan + AIRINS.ai is technically capable of supporting methane quantification workflows. Operators can run targeted quantification flights and have the data processed offline in AIRINS.ai, combining MetScan’s path - integrated concentration measurements with flight geometry and wind information to estimate emission rates (e.g., kg/h).

At this stage, methane quantification is offered as a trial, offline workflow in collaboration with the Soarability team and is not included as a default functionality in every deployment. Quantification performance depends on flight design, wind conditions, terrain, and is intended to serve as a primary quantification option where conditions and regulations allow, and a strong complement to existing quant approaches in other scenarios.

1. How is MetScan + AIRINS.ai priced, and what is included?

MetScan + AIRINS.ai is primarily offered as a combined HaaS + SaaS (Hardware-as-a-Service + Software-as-a-Service) package. The subscription includes MetScan hardware access, a defined inspection distance, AIRINS.ai (AAI) platform access, one AAI main account, and comprehensive remote support. Optional add-ons include additional inspection distance and additional AAI sub-accounts.

For customers who require an upfront purchase model, a perpetual option is also available at a higher one-time price compared with the subscription. This covers perpetual MetScan hardware and AIRINS.ai analytics with 1-year standard warranty and remote support during the warranty period, but does not include ongoing major firmware and software updates or the extended service bundle provided under the HaaS + SaaS subscription.

2. Can MetScan and AIRINS.ai be subscribed separately?

MetScan + AIRINS.ai is designed as an integrated end-to-end solution, so most customers subscribe as a combined HaaS + SaaS package to ensure consistent sensor performance, streamlined processing, and standardized deliverables.

Software-only subscriptions (post-processing) can be offered to customers already using a third-party methane sensor, subject to data compatibility. Please email inquiry@soarability.com with a sample CSV dataset for evaluation.

3. How does the inspection distance work?

Each MetScan + AIRINS.ai subscription package includes a defined inspection distance allowance. If you need more than the defined inspection distance, additional distance can be added through top-up blocks. We will propose a suitable structure based on your expected inspection scale during the evaluation process.

4. What training and support are available?

We provide online training and ongoing support covering MetScan configuration, mission workflows, and post-flight review (screening interpretation, reporting, and best practices). Standard support includes setup guidance, troubleshooting, and software assistance, with specific scope and channels aligned to your selected package.

5. If my company decides to subscribe to MetScan + AIRINS.ai, what is the typical process?

Once you confirm that you would like to subscribe, we work with you to align on the intended use case, inspection scale, and subscription package, then formalize the 1-year MetScan + AIRINS.ai subscription under a Master Service Agreement (MSA) and subscription order. After signing and payment, we arrange hardware delivery, set up your AIRINS.ai accounts, provide onboarding on configuration and workflow, and continue to support your team as you run missions during the subscription term.

6. What are typical lead times for delivery and onboarding?

Once your order is confirmed and payment is received, the typical lead time for delivery and onboarding is around one month, depending on region and logistics arrangements.

7. Do you provide demos for every request? What is the evaluation process?

Yes — we can provide on-site flight demos, but they are not provided by default. We first evaluate each request based on factors such as the use case, project scale, and the customer’s operational readiness to confirm fit before proposing next steps.

To support you sooner, we can also arrange a scheduled online walkthrough of AIRINS.ai, including the workflow, visualizations, and example outputs.

1. Which UAV platforms are supported, and what are the current compatibility requirements?

MetScan currently integrates with DJI Matrice 350 and Matrice 400 via the DJI Payload SDK (PSDK) and SkyPort. When using these aircrafts, operators fly the mission and control MetScan directly in the DJI Pilot app, with no additional third-party flight app required. MetScan’s dual-camera view and live measurement readouts are displayed in DJI Pilot for in-field monitoring.

For deeper real-time review, operators can also use AIRINS.ai (Live View) to preview screening results and perform quick coverage / QA checks.

For non-DJI UAVs, a platform-agnostic integration kit is available. It includes onboard RTK-GNSS and IMU, enabling MetScan to determine its own position, attitude, and laser footprint; the host UAV mainly needs to provide power and sufficient payload capacity.

2. What operating conditions can affect screening results?

Screening performance, like any outdoor sensing workflow, depends on both how you fly and the environment you fly in. Operational factors such as flight path consistency, altitude control, and environmental conditions can all influence results. As part of deployment, we provide recommended operating practices to help you plan missions under suitable conditions and interpret screening results correctly.

3. Do we need to manually calibrate MetScan before each mission?

No. MetScan is factory-calibrated under controlled conditions and performs automatic calibration for each mission, so manual calibration is not required for normal operations. If a customer observes a significant deviation, a calibration cell (methane reference cell) is included in the packing list to support verification and adjustment. Users can refine the crosshair alignment by entering directional commands (up / down / left / right) in the command field and moving the crosshair until it aligns with the cell position.

4. Does MetScan require a stable 4G connection for real-time viewing? What happens if the network is poor?

Real-time data streaming requires a stable 4G connection. If on-site network conditions are weak, the real-time feed may be incomplete. However, MetScan simultaneously records the complete dataset locally to its onboard storage (MS-DATA disk) throughout the mission, independent of 4G connectivity. After the flight, the full dataset can be uploaded to the cloud via USB-C or Wi-Fi when better internet access is available, ensuring no data loss.

5. How do we handle operations near sensitive areas or restricted airspace?

Operations should always follow your organization’s flight safety procedures and all applicable local aviation rules, including no-fly zones and restricted airspace requirements. For explosion-proof or otherwise restricted facilities where UAVs cannot enter the site, MetScan can be flown along the site boundary to perform remote fenceline sector screening, allowing you to screen for potential leaks without flying inside the facility.

6. What happens if the UAV loses signal or the mission is interrupted?

If a mission is interrupted, operators should follow your standard UAV safety procedures, such as triggering return-to-home or performing a controlled landing, depending on the configured failsafe settings and on-site conditions.

1. What user roles and access controls are available in AIRINS.ai (AAI)?

AIRINS.ai (AAI) uses a Main Account + Sub-account model designed for multi-client work while keeping data separated and secure:
Main Account (you / your organization)
- Included in the annual package.
- Can see all missions and data uploaded from the field.
- Decides which missions are shared with which Sub-accounts.
- Both on-site teams and office staff can log in to review missions once they are uploaded.
Sub-accounts (your end-clients)
- Each Sub-account is assigned to one end-client, no matter how many plants, sites, or pipelines they operate.
- The client only sees the missions you explicitly share with their Sub-account, ensuring clean separation between different clients and projects.
- Sub-accounts can be added as needed at additional cost.

2. How is my data managed and protected?

AIRINS.ai (AAI) is designed with GDPR-aligned data governance and security in mind. Mission data, videos, and reports are stored under your registered main account, with access controlled through main and sub-accounts so you decide who can view, edit, or export.

3. Can we re-run analysis or revisit historical missions in AIRINS.ai (AAI)?

Yes. AIRINS.ai (AAI) is designed to support historical mission review, enabling teams to re-check findings, continue analysis, and generate additional AI-assisted reporting exports.

4. Can we export reports and visual outputs?

Yes. AIRINS.ai (AAI) lets you export both visual outputs and reports for use in your workflow. You can export data in standard formats such as .csv, .json, and .shp, and generate AI-assisted inspection reports in editable .docx or .pdf. This makes it easy to document results, share them internally, and brief stakeholders using screenshots or screen recordings of the visualizations.

5. In what formats are the outputs provided?

Typical outputs include inspection heatmap visualizations and AI-assisted inspection reports generated through AIRINS.ai (AAI). Visualizations can be captured as images or short video clips using screenshots or screen recordings. Reports can be exported in PDF or editable DOCX format, and structured data in .csv, .json, and .shp formats for use in your internal workflows and follow-up actions.

6. How do firmware / software updates work?

Firmware updates (MetScan hardware)
Firmware updates are provided as part of the product lifecycle to maintain performance, stability, and compatibility. When a new firmware version is released, we share release notes and recommended upgrade steps so your team can plan and execute updates in a controlled way.
Software updates (AIRINS.ai / AAI)
AIRINS.ai (AAI) is updated on a regular basis to improve features, usability, and reliability. Most updates are applied in the cloud with minimal disruption, and key changes are communicated through release notes so your team understands what has been improved or added.

Product Information

MetScan + AIRINS.ai Brochure

Overview of the MetScan hardware and AIRINS.ai analytics for UAV methane screening.

Preview

MetScan + AIRINS.ai Basic Specs

Key technical specs for MetScan sensor hardware and AIRINS.ai analytics platform.

Preview

Email:

inquiry@soarability.com

Submit an Evaluation Request

MetScan + AIRINS.ai Methane 3D Screening & Quantification

Speedip Water Sampling

Other UAV-Based Solutions

UAV-based Environmental Data Acquisition Solutions

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MetScan(Hardware) + AIRINS.ai(Software) UAV Methane 3D Screening & Quantification

Intelligent Automated Scanning Patterns for Pipelines & Facilities

Validated Leak Detection Accuracy — Explainable & Reproducible

AIRINS.ai 2D/3D Mapping Overlays & AI Hotspot Localization

Follow-Up Ready Report, Insight & Quantification

Applications

Pipelines

Facilities

Regulatory Alignment

LDAR-style screening & inspection documentation

Detection & follow-up for reconciliation workflows

Access control & data governance

Typical Workflow

Pipelines - Workflow

Facilities - Workflow

Output & Deliverables

Visualization

AI-Assisted Report

Other Outputs

CSV

GeoJSON

Shapefile

Animations

Technology That Makes Every Inspection Count

Hardware

Diffuse-Reflection OP-TDLAS

Plug & Play UAV Integration

Data Output Frequency

MetScan streams data at up to 50 Hz, delivering ultra-dense methane sampling that captures even small plumes with confidence—a capability that is essential for precise emission quantification.

Dual-View Imaging System

MetScan records synchronized telephoto and wide-angle video on the same mission timeline, so each event can be reviewed with both close-up detail and wide-area context.

Context-Enriched Recording

Each clip is automatically tagged with flight time, methane concentration, SNR intensity, range, UAV position (lat/long), and relative altitude, keeping screening results traceable for later review and reporting.

Powerful Class 3R Laser

A Class 3R laser provides considerably higher optical power than typical Class 1 sources, supporting stronger return signals and a longer effective measurement distance. As with any Class 3R laser, direct eye exposure should be avoided.

Computational Hub

Inside MetScan, a high-performance 8-core CPU delivering up to 6 TOPS of compute power handles real-time sensor signal and image processing, motion control, and data handling—all running on a powerful compact onboard computer.

Low False-Alarm and Missed-Alarm Rates

MetScan is engineered to achieve low false-alarm and missed-alarm rates through advanced laser and optics design, precise optics calibration, a proprietary false-alarm suppression algorithm, and dynamic signal-to-noise ratio (SNR) post-processing.

Ultra-Stable 3-Axis Gimbal

In-house developed ultra-stable 3-axis gimbal to maintain precise pointing and measurement stability across UAV motion and wind conditions.

Thermal-Aware Exterior Design

Software

Multi-Region Data Hosting

Regional hosting in the EU, US, Singapore, and China to support data residency, compliance, and low-latency access.

Tailored User Experience

UI/UX designed specifically for methane screening workflows, with a clear and intuitive interface so teams can learn the system quickly and keep training effort low.

2.5D / 3D Reality Integration

Visualize MetScan screening data in 2.5D and 3D site models, from simple white buildings to detailed 3D meshes—for clear spatial context and precise leak localization.

One-Click Report Generation

Generate standardized methane screening reports with one click, without manual exporting or formatting.

AI Hotspot Identification

AI automatically flags methane hotspots and suspected leaks, guiding teams to the highest-risk locations first.

On-Premises Deployment

Available as an option: private, customer-controlled deployment on your own infrastructure for high-security environments.

Field Missions Gallery

Frequently Asked Questions

Product Information

MetScan + AIRINS.ai Brochure

Overview of the MetScan hardware and AIRINS.ai analytics for UAV methane screening.

MetScan + AIRINS.ai Basic Specs

Key technical specs for MetScan sensor hardware and AIRINS.ai analytics platform.

Email:

inquiry@soarability.com

Submit an Evaluation Request

Speedip
Water Sampling

MetScan(Hardware) + AIRINS.ai(Software)
UAV Methane 3D Screening & Quantification

AIRINS.ai 2D/3D Mapping
Overlays & AI Hotspot Localization

Follow-Up Ready
Report, Insight &
Quantification

A Class 3R laser provides considerably higher optical power than typical Class 1 sources, supporting stronger return signals and a longer effective measurement distance.

As with any Class 3R laser, direct eye exposure should be avoided.