Actonyx AI

From visual data to
operational intelligence.

Upload. Label. Train. Deploy. One platform.
Turn image and video data into usable intelligence, with AI that improves through operator feedback.

10×

Labeling throughput

AI-accelerated labeling¹

+16%

Model performance boost

Recursive model improvement¹

5×

Model improvement speed

Accelerated improvement cycles¹

One platform. From data to deployment.

Actonyx AI is a visual-intelligence platform that unifies visual-data organization, AI-assisted labeling, model training, evaluation, and deployment in one tool.

Actonyx’s Foundational AI model helps kickstart object detection and labeling. Teams review and refine its suggestions, using their data and operator feedback to support continued model improvement.

  1. Ingest & catalog

    Bring images and video into one organized visual-data lake.

  2. Define & label

    Build your ontology. Let Foundational AI assist with labeling while operators review and refine.

  3. Train & evaluate

    Turn curated data into models and understand their performance.

  4. Deploy & improve

    Run where you operate. Feed operator feedback into the learning loop.

Foundational AI

Start with proprietary open-vocabulary object detection, then refine results with your data and reviewed feedback.

Illustrative object recognition: a quadcopter, jet ski, car, Shahed-136 drone, and semi truck with a box trailer appear individually inside a corner target. Each faceted object keeps rotating while the brackets tighten to illustrate recognition by the proprietary open-vocabulary model. Refinement uses your data and reviewed feedback over time. This illustration does not show measured performance or actual inference processing.

Actonyx Foundational AI Detection

Quadcopter

Data Lake & AI Cataloging

Organize images and video so teams can find the data worth reviewing.

Hierarchical Ontology

Define the objects and relationships that matter to your mission.

Automated Labeling Suite

Accelerate annotation with AI assistance and keep operator review in the loop.

Model Training Suite

Connect curated datasets, training experiments, and model evaluation in one workflow.

Project Insights

Understand data progress, labeling activity, and model performance across your project.

Live Deployment

Run models on sensor feeds and bring operator feedback into the improvement workflow.

Where you operate.
How you need it.

One platform, three deployment environments. Scope the right fit for your infrastructure, data, and team.

Enterprise Cloud

Connected teams. Shared intelligence.

A cloud-based environment for teams bringing visual-data workflows together.

Custom enterprise quoteScoped to your organization
  • Unified project workflows
  • Shared data and model workspace
  • Deployment scoped to your organization

Enterprise On-Prem

Your infrastructure. Your environment.

Bring the visual-intelligence workflow into your organization’s infrastructure.

Custom enterprise quoteScoped to your organization
  • Organization-controlled environment
  • Data-to-model workflow on-premises
  • Infrastructure requirements scoped together

Edge Deployment

Intelligence closer to the sensor.

Run foundational AI in a compact field unit and capture feedback where work happens.

Custom enterprise quoteScoped to your organization
  • Field-oriented model operation
  • Operator feedback on live feeds
  • Integration and sync requirements scoped together

Start with clarity.

What enterprise teams should know before evaluating Actonyx.

Actonyx AI is a visual-intelligence platform that unifies visual-data organization, AI-assisted labeling, model training, evaluation, and deployment in one tool. It is designed for teams turning image and video data into usable operational insights.

Actonyx serves enterprise teams working with visual data, including defense-led organizations and industrial operators. It connects the work of data teams, model developers, reviewers, and field operators.

Actonyx is available in the cloud, on-premises, or in a compact field unit. The right option depends on your infrastructure, sensor workflows, and operating environment. Specific hardware, connectivity, and integration requirements are scoped during evaluation.

Operators can define ontology and label live sensor feeds. That feedback supports the model-improvement workflow, with data synced into Actonyx. The learning and sync configuration should be evaluated against your deployment requirements.

Actonyx brings data organization, labeling, training, evaluation, and deployment into one platform. A unified workflow can reduce context switching and the administration involved in coordinating separate tools; integration and migration needs are scoped per organization.

The up-to-10× labeling throughput, average +16% performance boost in object detection models, and estimated 5× Model improvement speed are supplied estimates, not independently verified benchmarks. The 5× figure measures improvement-cycle speed, not model accuracy. Actual outcomes depend on your data and workflow. They should be validated using a representative dataset during evaluation.

Cloud, on-premises, and edge deployments are scoped through a custom enterprise quote. Discuss your deployment environment, visual-data workflow, team needs, and integration requirements during an evaluation. No public price or hardware specification is implied.

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Make your visual data
work for your mission.

Bring your workflow. Define your environment.
Explore a clearer path to operational intelligence.