Atlas brings AirSentinel and third-party sensors into one operational picture. Open APIs deliver AMS intelligence and sensor-fusion data to your existing C2, security and intelligence platforms.
An airspace-security program rarely starts with an empty technology stack. It may already include cameras, radar, a security operations center, a drone detection platform or a command-and-control system.
Atlas connects that environment. AirSentinel sensors can supply data to external platforms, while Atlas can ingest compatible sensors from other manufacturers. The platform and the sensor are independent integration choices.
Use Atlas as the primary airspace interface, as the intelligence layer behind an existing C2, or as part of a broader multi-vendor deployment. Expand capability without requiring every component to come from one supplier.
Open APIs connect the detection layer with the C2, security and intelligence platforms that use its data.
Bring supported AMS, external RF, radar, optical and ADS-B information into Atlas through compatible interfaces.
Connect live sensing with track context, historical activity, Patterns of Life and the workflows used by monitoring teams.
Send available AMS intelligence and configured fusion data to other C2, drone detection, security and intelligence systems.
Each integration defines the interfaces, data fields, permissions and operational handoff.
| Architecture | How information flows | When it fits |
|---|---|---|
| AMS into your platform | AMS sensors deliver available intelligence through local or cloud APIs to the customer’s chosen platform. | You want AirSentinel sensing while retaining an existing C2 or drone detection interface. |
| Mixed sensors into Atlas | AMS and compatible third-party sensor inputs come together in Atlas for operational awareness. | You want a common view across a multi-vendor sensing package. |
| Atlas into another C2 | Atlas provides configured AMS and sensor-fusion data to downstream C2 or intelligence systems. | You want a connected intelligence layer while keeping broader command and response in another system. |
RF, radar and optics answer different questions. RF may contribute identity and reported coordinates. Radar adds physical movement. Optical systems help operators examine a tracked object.
Atlas connects available information in an operational context. An external command platform can receive configured fusion outputs alongside AMS data, extending that context beyond the AirSentinel interface.
Explore the sensing layersKeep aircraft position distinct from controller or takeoff location, and distinguish a source identifier from a platform track label.
Define how the integration handles source timestamps, updates and periods without fresh observations.
Test track association and the receiving platform’s behavior with representative aircraft, overlapping sensors and changing conditions.
A detection only becomes operationally useful when the responsible team can access it. Atlas supports authorized shared-flight viewing without requiring the recipient to install an app or manage a separate login and password for that view.
The shared event can give a field team available drone location, flight context and control-station or takeoff information. Monitoring staff and responders can work from the same event while following their organization’s response process.
Administrative access and broader platform access remain governed by the deployment’s permissions. Convenient field sharing is a specific workflow, not unrestricted access to the full system.
Explore alerting and field accessAgree the sources, aircraft classes and available data fields. Establish which platform displays the track and which platform owns the response workflow.
Define the API path, field mapping, coordinate and time conventions, access permissions and deployment connectivity. JSON is available for AMS integrations.
Check first usable information, update timing, missing-data behavior and track continuity. Confirm that available identity and location context reaches the destination correctly.
Create aircraft watchlists and monitored zones around the mission. Use known-aircraft context and configured entry or exit alerts to focus attention on relevant activity.
Search recorded detections by time, aircraft identifier or location. Review available flight paths, replay events and export information to support operational and incident review.
Support multiple users with role-based access and configured sharing. Connect the monitoring team, site personnel and authorized partners without making every recipient an administrator.
Yes. Atlas is sensor agnostic and can ingest third-party sensor data through compatible interfaces. The integration defines supported observations, data fields and operating behavior for the selected sensors.
Yes. Open APIs support delivery of AMS intelligence and configured sensor-fusion outputs to third-party C2, drone detection and intelligence platforms. Integration scope includes interfaces, data mapping and operational validation.
No. AMS cloud and local APIs allow sensor intelligence to be used by other platforms. Atlas can serve as the operational interface, an integration layer or part of a wider system architecture.
No. Vendor independence means the architecture is open to external systems. A working deployment still requires accessible interfaces, compatible data, configured permissions and validation of the intended workflow.
Review integration paths, access and sharing, and the requirements for an enterprise deployment.
Let’s build the right airspace picture for your mission.