Resilient Infrastructure 
for autonomous systems 

Intuitive infrastructure to deploy autonomous systems in mission-critical production. Think Kubernetes for autonomy.

EU Cloud & On-PremiseGDPR CompliantOpen Platform

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.

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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
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ALT: 120MHDG: 274°
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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.

Remote Control

Direct command execution for flight control, gimbal positioning, and manual input. Low-latency command-response architecture ensures responsive operation regardless of distance.

Live Telemetry

Persistent data streams for position, battery, signal, and custom sensor data. Push from the edge, subscribe from the application -- real-time visibility across your entire fleet.

Mission Planning

Define missions with tasks, waypoints, and scheduling. The platform handles execution order, state transitions, and progress tracking across concurrent operations.

Data Streaming

Live video feeds from cameras and sensors on the edge. Multi-stream support, recording, and relay -- all routed through the platform with no direct device access required.

Asset Management

Registry for all connected hardware -- drones, docks, vehicles, sensors. Manage organizations, capabilities, and metadata. The single source of truth for your deployment.

Detection and AI

Computer vision and inference pipelines at the edge or in the cloud. Object detection, tracking, and classification with pluggable model backends integrated into the data flow.

How It Works

From zero to production in three steps

Get operational fast. The framework handles infrastructure so you focus on your application logic and hardware integration.

01

Add the SDK

Add one dependency to your project. The SDK auto-configures connections to platform services using environment variables. No boilerplate, no scaffolding tools required.

02

Connect your hardware

Build an edge adapter for your specific device by implementing a single interface. Override the methods your hardware supports -- the framework handles registration, streaming, and routing.

03

Ship to production

Deploy to EU cloud or on-premise with the same codebase. Docker containers, environment configuration, and compliance are built into the deployment model from day one.

In the Field

Built for real-world operations

Defense, public safety, agriculture, industrial inspection -- the leading companies rely on Zequent for running autonomous systems in mission-critical production.

Autonomous industrial inspection
Public Safety
Autonomous systems intelligence
Defense

From prototype to production. Same platform, any scale.

Why Zequent

What you actually get

Technical decisions that make a difference when you are shipping autonomous systems to production environments.

No glue code

The framework defines clean interfaces between your application and the hardware layer. Add a dependency, call typed methods -- no custom protocols or serialization layers in between.

Hardware-agnostic

Switching vendors means writing a new adapter, not rewriting your application. The framework abstracts hardware operations so your application logic stays the same regardless of the hardware underneath.

Deploy anywhere

EU cloud or fully air-gapped on-premise. Same containers, same configuration, same SDKs. Your application code does not change between deployment targets. GDPR compliance is built into the architecture.

Production-grade scale

Services scale independently. Sustained telemetry from hundreds of assets, concurrent mission operations with conflict detection. This is framework infrastructure for real deployments, not a prototype toolkit.

Open, not opaque

You see the interfaces. You see the data models. You control the adapter code. No proprietary black boxes between your application and your hardware. The framework provides structure. The logic is yours.

Modern stack

Built on a modern, battle-tested runtime optimized for fast startup, low memory footprint, and native compilation. The same stack that runs cloud microservices at scale, applied to robotics.

Contact

Let's build something together

Email

office@zequent.com

Phone

+41 (0) 762087620

Office

Chüngstrasse 31, 8424 Embrach, ZH, Switzerland

LinkedIn

Zequent Technologies