Products / SwarmOS
Command & control software

Plan, supervise, and recover coordinated drone missions from one operational interface.

SwarmOS gives defense, public safety, infrastructure, and security teams a single system for mission planning, aircraft assignment, live supervision, sensor awareness, command execution, and recovery — without forcing an operator to manage every aircraft as a separate mission.

5

Aircraft in demonstration swarm

4 Hz

Live telemetry update rate

1

Shared operational picture
One command center for the full mission
The operational value

Built for the swarm, not the single aircraft.

Most drone operations are built around individual aircraft, disconnected planning tools, separate video windows, and manual command tracking. That approach becomes harder to supervise as the fleet grows. SwarmOS brings the mission, aircraft, sensor, safety, and command picture together so the team can operate the swarm as one coordinated capability.
Operational need
SwarmOS response
Buyer impact
Coordinate several aircraft
Assign aircraft to one mission and generate aircraft-specific coverage routes
More coverage without multiplying operator screens
Understand current conditions
Combine map position, health, payload feeds, weather, and alerts
Faster decisions from one current operational picture
Adjust a live mission
Change speed, altitude, task, hold state, duration, or recovery target by aircraft or swarm
Mission plans can respond to conditions without rebuilding the operation
Control risk
Apply per-aircraft limits, geofences, preflight checks, approvals, and recovery rules
Operators receive clear boundaries before a command is transmitted
Prove what happened
Record operator actions, commands, acknowledgements, alerts, and mission outcomes
A complete record supports review, training, and accountability
Designed for operator supervision

Not an autonomous black box.

The platform turns operator intent into visible, validated commands and keeps the human in authority over launch, adjustment, recovery, and mission closure.

Aircraft limits and safety rules remain deterministic even when the AI assistant is used to speed up routine work.

5

Simultaneous MAVLink aircraft

Live

Geospatial mission display

Full

Plan-to-recovery workflow
Development path

From frozen suppliers to production release.

The operator does not have to move between unrelated tools or reconstruct what happened after the fact.

01
Define the mission

Choose the mission type, priority, duration, launch window, country, and city or region.

02
Draw the operating area

Zoom to the location, lock the map scale, draw the geofence, and divide the area into the desired coverage grid.

03
Assign the aircraft

Select available drones by identity and payload. SwarmOS applies each aircraft’s speed, altitude, endurance, and payload limits.

04
Validate readiness

Run preflight checks for aircraft connectivity, battery reserve, GPS, command link, geofence, altitude envelope, payload feeds, and weather.

05
Supervise the mission

Follow live positions, flight modes, tasks, feeds, mission progress, alerts, weather, and data link health from the command center.

06
Adapt in real time

Issue a command to the whole swarm or one aircraft, extend the mission, update tasks, change speed or altitude, hold, resume, or recover.

07
Close with evidence

Return aircraft to the recorded launch point, reconcile outcomes, and retain the mission plan, command log, alerts, tracks, and operator actions.

AI assistant

Natural language commands, validated before they transmit.

Operators can use direct language for supported actions. SwarmOS interprets the request, identifies the target and parameters, validates the command against aircraft limits, and sends the corresponding command through the MAVLink control boundary.

Operator request
"Reduce speed of all drones by 20 percent"
System action
Calculate a new target for each aircraft and send a validated speed command
Operator request
"Lower DR-05 to 300 feet"
System action
Validate DR-05 altitude limits and send the aircraft-specific altitude command
Operator request
"Return DR-03 to base"
System action
Send return-to-launch to DR-03 using the mission launch point
Operator request
"End the mission"
System action
Record mission closure and return all assigned airborne aircraft to launch
Capabilities buyers can evaluate

Everything a supervising operator needs, in one system.

Mission planning

Mission types, operating areas, geofences, grids, launch points, duration, priority, and aircraft assignment.

A repeatable plan tied to a real location and fleet.

Fleet definition

Aircraft identity, type, autopilot, payload, connection, and per-aircraft operating limits.

Commands follow the capabilities of the assigned aircraft.

Live command center

Map, tracks, health, battery, progress, links, feeds, payloads, alerts, weather, and quick actions.

The operator sees mission and aircraft state together.

Swarm and individual control

Speed, altitude, task, hold, return, land, start, resume, and mission duration controls.

The mission can change without losing target clarity.

AI operator assistant

Status summaries, preflight support, command discovery, and typed natural language actions.

Routine work is faster while validation remains explicit.

Sensor feeds

Aircraft-specific EO, IR, thermal, radar, AIS, and RF presentation with feed health and metadata.

Payload awareness stays tied to the aircraft and mission.

Safety controls

Preflight checks, geofence enforcement, battery reserve, link monitoring, per-aircraft limits, and recovery.

Unsafe or unsupported commands can be blocked before transmission.

Command accountability

Command frames, acknowledgements, approvals, audit events, and mission exports.

Supervisors can review who requested what and how the aircraft responded.

Simulation and testing

Real-time multi-aircraft simulation, fault injection, and bridge dry-run behavior.

Teams can evaluate workflows before using flight hardware.

Mission applications

Fits missions where several aircraft must cover an area.

Persistent awareness, changing operator priorities, and repeatable coverage — across five sectors.

Defense & maritime
Coastal surveillance, border patrol, traffic lane watch, perimeter security, surface contact correlation.

Geofenced coverage, EO/IR/radar/AIS/RF tasking, live map, return to launch.

Public safety
School security, event monitoring, search and rescue, disaster assessment, emergency perimeter patrol.

Rapid area planning, aircraft assignment, thermal feeds, alerts, individual recovery.

Infrastructure
Port, utility corridor, highway, rail, pipeline, and facility inspection.

Repeatable grids, payload assignment, mission history, evidence export.

Environmental operations
Wildfire watch, shoreline monitoring, flood assessment, protected area patrol.

Persistent coverage, thermal observation, weather, mission extension, route adjustment.

Enterprise security
Large campus, industrial site, warehouse perimeter, and remote asset monitoring.

Scheduled patrols, live feeds, command approvals, incident records, fleet limits.

Example mission

Port security, three aircraft, one operator.

A port security team selects the operating area, draws a grid over the harbor approaches, and assigns three available aircraft with EO/IR, thermal, and AIS payloads. SwarmOS creates separate coverage routes inside the approved area. During the mission, the operator slows the AIS aircraft for contact correlation, raises the EO/IR aircraft for a wider view, and directs the thermal aircraft to hold over a new return. When the mission ends, all three aircraft return to the saved launch point and the command history is retained for review.

Safety and command accountability

Authority, limits, and outcomes stay visible.

SwarmOS applies these controls at the mission and command layer, while leaving immediate flight stabilization and onboard failsafes with the aircraft autopilot.

Aircraft-specific limits
Speed and altitude commands are checked against the selected aircraft type rather than one global limit.
Geofenced operations
Mission routes and live aircraft positions are evaluated against the saved operating area.
Battery reserve
Battery declines during operation and configured low-reserve behavior returns the aircraft before depletion.
Launch point recovery
Return and End Mission use the launch point saved with that mission.
Preflight validation
Mission, aircraft, battery, GPS, geofence, altitude, payload, weather, storage, and command path checks are recorded.
Protected actions
High-consequence actions can require confirmation, approval, and appropriate operator permission.
Command lifecycle
The command log identifies target, command ID, parameters, frame count, acknowledgement, and time.
Audit and export
Mission changes, safety settings, approvals, commands, alerts, and outcomes are retained for review.
Deployment boundary

Where the demonstration ends and integration begins.

Current status

The current product demonstrates the full operating workflow with simulated aircraft and includes a guarded bridge contract for real MAVLink systems. Real command forwarding remains disabled until that integration is deliberately configured.

A production deployment adds an approved MAVSDK edge service, verified aircraft identity mapping, secure links, encoded payload streaming, durable infrastructure, and aircraft-specific testing.

Buyer benefit

This staged model lets a buyer evaluate the interface, mission logic, command model, and safety workflow before connecting flight hardware. It shortens the path from product demonstration to a controlled integration program without pretending that every aircraft behaves the same way.

Open integration boundary

SwarmOS is designed around MAVLink-compatible systems and an external MAVSDK bridge. The browser and mission services use a consistent contract for simulation and connected aircraft, allowing teams to validate the operator workflow before enabling real command forwarding. Aircraft-specific adapters can preserve the same command center while mapping supported behavior to PX4, ArduPilot, payload, and radio systems.

Evaluation and deployment path

From simulation to approved aircraft — same operator workflow.

01
Mission workshop
Select one operational mission, target location, aircraft package, payloads, command rules, and success criteria.
02
Configured demonstration
Run the mission with the SwarmOS five-aircraft simulator using the buyer’s operating area and representative tasks.
03
Integration assessment
Confirm autopilot versions, MAVLink endpoints, radios, payload streams, aircraft limits, identity mapping, deployment environment.
04
SITL validation
Connect the MAVSDK bridge to supported software-in-the-loop aircraft and verify discovery, upload, telemetry, commands, recovery.
05
Hardware validation
Test the approved autopilot, radio, payload, and edge compute path with command forwarding protected by explicit enablement.
06
Controlled field evaluation
Execute agreed test cards under the buyer’s flight authority, range safety, and operating procedures.
07
Operational rollout
Configure roles, training, support, retention, monitoring, release governance, and aircraft onboarding for the approved mission set.
Why SwarmOS

The questions buyers actually ask.

Can one operator supervise several aircraft?
Yes. The mission map, health panels, feeds, alerts, tasks, and commands are organized around one assigned swarm.

Aircraft definitions carry their own performance limits, payloads, autopilot identity, and connection settings.

Authorized users can adjust speed, altitude, task, duration, hold state, route behavior, and recovery target.
The MAVLink command page records target, command ID, parameters, sequence, acknowledgement, and time.
The built-in simulator provides realistic telemetry, commands, mission lifecycle faults, video metadata, and recovery behavior.
The product includes a guarded MAVSDK bridge contract designed for aircraft-specific integration and testing.
Recommended next step

Schedule a live mission demonstration.

We will configure a representative operating area, mission type, aircraft package, payload mix, and command scenario so your team can evaluate the product against a real operational need.