Jumpedge
SOVEREIGN EDGE AI

Intelligence
where the
mission happens.

Build, improve and deploy mission-specific AI on edge devices. Designed for the field. Even when the cloud is out of reach.

Soldier using a tactical device on a Baltic coastal landscape with pine forest and an observation droneThermal observation of a vessel at seaOperations room reviewing shared maps and sensor observations
Sovereign by designOffline-firstAcross hardwareContinuously improving

Mission-specific AI.
Optimized for
limited compute.

Jump Edge offers a sovereign Edge AI framework for defence and security, with vision models supplied and trained as part of the solution.

We train, adapt and optimize vision models for your target hardware—reducing model size and balancing recognition quality, inference speed, memory and power requirements. Models, runtime and TAK integration are aligned as one solution.

The framework connects the full lifecycle, from model training and validation to local inference and improvement with field data, within customer-controlled infrastructure.

01

Offline training software

Label images, train and retrain vision models on local compute within your own infrastructure.

02

Supplied vision models

Base models for visual and thermal recognition, trained and optimized for your use case and device.

03

Mobile vision AI & TAK integration

A tactical app for local vision AI, with TAK integration and a TAK plugin to connect validated observations.

04

Offline deployment

Prepare and transfer validated models to compatible edge devices through an agreed local deployment path.

Experience trusted by

Jump Edge builds on Jump’s software delivery experience with:

KMAR · Koninklijke Marechaussee
KMAR · Koninklijke Marechaussee
Koninklijke Landmacht
CLAS · Koninklijke Landmacht
CLRS · Koninklijke Luchtmacht
CLRS · Koninklijke Luchtmacht
Nederlands Instituut Publieke Veiligheid
NIPV
Ministerie van Justitie en Veiligheid
Ministerie van Justitie en Veiligheid
LET’S MAKE IT CONCRETE

What does AI need
to do in your field?

Discuss your Edge AI use case with us. In a 30-minute introductory conversation, we explore your situation and what a sensible next step could be.

  1. 01
    Your operational challenge

    What needs to work, where, and for whom?

  2. 02
    Your starting point

    Available data, devices, connectivity and infrastructure.

  3. 03
    A practical next step

    What to validate and whether a pilot makes sense.

Jan-Maarten Verweij, co-founder of JumpJan-Maarten VerweijCo-founder · Jump

Let’s explore
your use case.

Request a use-case session

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