TACTICALEDGE

Build and deploy resilient edge systems that operate reliably in degraded edge-to-cloud environments.

Developer-FirstProduction-ReadyField-TestedEngineered in Switzerland

Trusted by major public safety and defense institutions

Polizei Stuttgart
Polizei München
NCI Agency
Bundeswehr
Infrastructure

The autonomy layer your
hardware runs on

Edge SDK on every device. Mesh networking between nodes. Telemetry pipelines to your infrastructure. All orchestrated.

ABCDDETECTEDDETECTEDDETECTED
UAV-01 · SURVEY
UAV-02 · PATROL
UAV-03 · CHARGING
UGV-01 · PATROL
DOCK-01
DOCK-02
SENSOR-W
SENSOR-E
SENSOR-N
EDGE HUBORCHESTRATING
EDGE SDKMESH NETWORKTELEMETRYMISSION CTRLDEVICE REGISTRY
TACTICAL MAP
REC
ALT: 120MHDG: 274°
48.8566°N2.3522°E
11 NODES|MESH OK|14ms|SURVEY ACTIVE|UGV PATROLLING|00:00:00 UTC|F00000|> SYSTEM READYEU-WEST-1 · ALT 120M
EDGE SDK

Edge-native compute

SDK runs on the device. Adapters normalize hardware. Platform handles routing, not your code.

NETWORKING

Mesh-grade networking

Peer-to-peer between hardware, uplink to your infrastructure. Disconnection-tolerant by design.

DEPLOYMENT

Deploy on your terms

EU cloud, on-premise rack, or fully air-gapped. Same containers, same config, your compliance.

Speak your stack. We handle the rest.

View Docs
Python
Go
Docker
Java
Kubernetes
AWS
Azure
Redis
GitHub
GitLab
Linux
Raspberry Pi
Windows 11
Python
Go
Docker
Java
Kubernetes
AWS
Azure
Redis
GitHub
GitLab
Linux
Raspberry Pi
Windows 11
Python
Go
Docker
Java
Kubernetes
AWS
Azure
Redis
GitHub
GitLab
Linux
Raspberry Pi
Windows 11
Python
Go
Docker
Java
Kubernetes
AWS
Azure
Redis
GitHub
GitLab
Linux
Raspberry Pi
Windows 11
Quick Setup

Up and running in five steps

Install the SDK, configure your connection, and start calling services. The platform handles orchestration, communication, and routing.

STEP 01

Start the platform

Spin up all platform services locally with Docker. One command — the framework handles orchestration, networking, and service discovery.

Terminalbash
$
docker compose up -d
STEP 02

Install the SDK

Add the Zequent SDK to your project. Pick the Client SDK for backend applications or the Edge SDK for hardware adapters.

pom.xmlxml
<dependency>
    <groupId>com.zqnt.sdk</groupId>
    <artifactId>client-sdk</artifactId>
    <version>1.0.0</version>
</dependency>
STEP 03

Configure your connection

Point the SDK at your platform services. Works the same way locally, in Docker Compose, and in Kubernetes.

.env.stagingbash
# Docker Compose — use service names
REMOTE_CONTROL_SERVICE_HOST=remote-control-service
MISSION_AUTONOMY_SERVICE_HOST=mission-autonomy-service
LIVE_DATA_SERVICE_HOST=live-data-service
.env.productionbash
# Kubernetes — enable service discovery
REMOTE_CONTROL_SERVICE_USE_STORK=true
REMOTE_CONTROL_SERVICE_STORK_NAME=remote-control-service
REMOTE_CONTROL_SERVICE_USE_PLAINTEXT=false
.envbash
REMOTE_CONTROL_SERVICE_HOST=localhost
REMOTE_CONTROL_SERVICE_PORT=8002
MISSION_AUTONOMY_SERVICE_HOST=localhost
MISSION_AUTONOMY_SERVICE_PORT=8004
LIVE_DATA_SERVICE_HOST=localhost
LIVE_DATA_SERVICE_PORT=8003
STEP 04

Write your first command

Inject the client and call typed methods. The SDK handles connections, serialization, retries, and circuit breaking.

DroneController.javajava
@Inject
ZequentClient client;

public CompletableFuture<TakeoffResponse> takeoff() {
    return client.remoteControl().takeoff(
        TakeoffRequest.builder()
            .sn("DEVICE_SN")
            .latitude(47.3769f)
            .longitude(8.5417f)
            .altitude(100.0f)
            .build()
    );
}
STEP 05

Run it

Start your application and hit the endpoint. Your code talks to the platform — done.

Terminalbash
$
$
$
mvn quarkus:dev

# Test your endpoint
curl -X POST http://localhost:8080/drone/takeoff
Capabilities

Everything autonomous systems need

From direct hardware control to fleet-wide intelligence. Each capability is a service in the platform, accessible through the SDK with typed interfaces and structured responses.

Asset Integration

Onboard drones, docks, vehicles, and sensors into a unified registry. Manage capabilities, metadata, and connectivity from a single control plane.

LIVE1080pCAM-01CAM-02kbps01101124.6MB/s

Data Streaming & Tasking

Push telemetry from the edge, stream live video, and dispatch tasks in real time. Bi-directional channels keep every asset responsive and observable.

SCAN96%

AI Inference & Learning

Run detection, classification, and tracking models at the edge or in the cloud. Pluggable pipelines feed results back into the platform's data flow.

STARTEND

Interoperability

Connect across protocols, vendors, and deployment environments. Typed SDK interfaces and open APIs ensure every component speaks the same language.

Contact

Let's build something together

Email

office@zequent.com

Phone

+41 (0) 762087620

Office

Chüngstrasse 31, 8424 Embrach, ZH, Switzerland

LinkedIn

Zequent Technologies