The field is part
of the learning loop.

Field conditions change. Scaleout helps teams operate AI on the edge and improve it from observations, locally and across a connected fleet.

Scaleout Edge / Ground Node
Illustrative Scaleout Edge Ground Node workspace showing a drone view, vehicle detection, and model-operation tools.
Scaleout Edge
StreamsDrone Station
Scaleout EdgeLabel Studio▸ Training●   Connected
Vehicle 75%
Built on Scaleout Edge, the platform for model operation, local improvement, and learning across devices and sites.
Tactical CV Network

Make change actionable.

01

Learn from what changes

Select observations that show where the model needs to improve.

02

Test the next model

Retrain a candidate and evaluate it against deployment requirements.

03

Decide what reaches the field

Review the results and approve an update for deployed devices.

Tactical CV Network brings this workflow into your deployment, combining Scaleout Edge with application models, tools, and integrations.

Local adaptation Fleet learning

Start with a local learning loop.
Connect the learning across your fleet.

Each site connects observations, retraining, evaluation, and human-approved deployment in a local loop. Federated learning connects those loops to share model improvements while operational data stays local.

Site ALocal learning loopOperational data stays local
Observe

Learn from the field

Run models on devices and select useful observations.

Improve

Test the next model

Retrain a candidate and evaluate it for the deployment.

Deploy

Control the update

Review the results and approve an update for local devices.

New observations inform the next improvement
Model improvements as connectivity allows
Site BLocal learning loop
ObserveImproveDeploy
SHARED COORDINATION

Fleet learning

Coordinate model improvement across sites through federated learning.

Site CLocal learning loop
ObserveImproveDeploy
Each site contributes through its own local learning loop. Dashed links show the exchange of model improvements; operational data stays local.
Field work & resources

Field experience.
Technical foundations.

See the work in its operating context, then explore the platform and technical documentation behind it.

Drone in flight above a snowy landscape
Field demonstration

BAE Systems Arctic Demo

Recorded edge AI field demonstration with BAE Systems in Arctic conditions.

Watch the field demo
Programme participation

NATO DIANA Innovator

Selected for NATO DIANA’s programme, with a focus on federated learning in contested environments.

Read the announcement
Selected collaborations
and programmes
BAE SystemsSaabNATOFörsvarsmaktenScania
Start with your deployment

Where does your AI
need to adapt?

Bring your application, devices, and operating conditions. Let’s explore how Scaleout fits your deployment.

Discuss your deployment