Conditions change
Deployed models encounter new terrain, sensor configurations and operating conditions that differ from their training data.
Sovereign Edge AI
AI that adapts where it operates.
Scaleout Edge is a software platform for building, operating and improving AI across devices and sites. Keep sensitive data local and deployed models running when connectivity is limited.
- Keep data local
- Train and evaluate models where sensitive data resides.
- Operate disconnected
- Keep deployed models running; synchronise updates when links return.
- Retain ownership
- Keep control of your operational data and trained models.
Why Scaleout Edge
Conditions change.
AI needs to keep up.
Field teams need models that can keep learning under real operating constraints.
Performance can decline
Models may miss relevant objects, produce more false alarms or become less reliable in unfamiliar situations.
Central retraining is difficult.
The observations needed to improve models are collected in the field. Sensitive data and limited connectivity make bringing them together centrally difficult.
Improve AI locally, keep data in place, and share approved model updates when connected.
How it works
Bring learning to the data.
Scaleout Edge connects deployed devices, local training and model coordination across sites.
01
Run AI and collect observations
Devices run models and collect observations, including while disconnected. Selected observations are transferred to local training infrastructure when a connection is available.
02
Improve models locally
Teams use selected observations to train and evaluate models within each site. Raw data stays within the site.
03
Share improvements across sites
Combine model updates from participating sites and distribute approved models when connectivity allows.
Platform capabilities
Manage AI across devices and sites.
Scaleout Edge brings training, model management and fleet visibility together, helping teams operate and improve deployed AI.
Training and evaluation
Coordinate training across sites and compare model results using local data.
Model management
Track model versions and their history. Stage and distribute approved models to connected devices.
Fleet visibility
Monitor reported model metrics, device status and resource usage through dashboards and APIs.
Traceability
Follow the training, validation and system events behind a model version, with records available for review and export.
What you can build with Scaleout Edge
Build applications that improve where they operate.
Scaleout Edge combines shared platform capabilities with application-specific models, integrations and workflows.
Tactical computer vision
Run detection on live video, select useful observations, improve models locally and distribute approved updates across connected sites.
AI for drones
Run AI onboard, retain observations and telemetry during disconnected operation, and synchronise with ground infrastructure when links return.
Explore AI for drones
AI privacy and security testing
Audit federated models for privacy leakage and resilience against poisoning, backdoors and label-flipping attacks. (Experimental)
Explore AI security testing
Speech recognition
Adapt speech-to-text models to specialist vocabulary using private local audio, then evaluate and deploy approved updates to selected hardware. (Experimental)
Explore speech recognitionHow it fits your systems
Built to fit your existing systems.
Keep the systems you already use and connect deployment, learning and monitoring across sites. Your operational data and trained models remain yours.
Your AI environment
Bring existing models, ML workflows and infrastructure into a controlled environment for deployment, learning and monitoring across sites.
- Models & workflows
- Existing models, training tools, registries and CI/CD workflows.
- Infrastructure
- Cloud, sovereign cloud or on-prem deployment.
- Scaleout Edge platform
- Coordinate distributed deployment, learning and model history across sites.
Your devices & applications
Connect vehicles, drones, sensors, edge servers and operational applications through open interfaces that fit the systems already in use.
- Devices & applications
- Vehicles, drones, sensors, edge servers and operational applications.
- Operational systems
- C2/TAK, dashboards and other systems connected through open interfaces.
- Scaleout SDK
- Integrate devices and applications, with updates and telemetry flowing both ways.
Get started
Bring Scaleout Edge into your environment.
Work with Scaleout engineers to select an application, connect your models and infrastructure, and evaluate the platform against the requirements of your operation.
Define the scope
Choose an application, identify the models, devices and operational systems involved, and agree on what success looks like in your environment.
Test the platform
Deploy the agreed workflow within your infrastructure. Connect selected feeds, run the models, review results and assess the platform’s APIs, SDKs and operational fit.
Plan the next step
Review the results together and identify the integration, hardware, onboarding and engineering support needed for field validation or broader deployment.
Scaleout Edge is deployed within your chosen infrastructure. Hardware is supplied by you or your chosen partners.
Discuss your applicationResearch access may be available for accredited institutions and students conducting non-commercial work. Contact us to discuss your project.