Frequently asked questions

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.