USE CASE:

Qtis AI

Synthetic Capabilities

Medical Grade Computer Vision

Qtis AI is a complete autonomous learning based set of machine learning systems which can complete an educational loop of learning more rapidly then other nascent solutions.

This removes much of the developer operations iterations which constrain the time of other functional groups to test-integrate and gauge the performance.

Using our QS4 (Synthetics Designer) with QS1 (Identification Modeling Platform) takes the risks out of programs and projects that demand a critical capability.

Resolution

Our platform is capable of hi-resolution for more optimum identification routines in business critical computer vision systems.

Having this capability provides a sense of identification which does not occur in computer vision projects.

Digital twin

The platform stores every aspect of the imagery in private repositories per tenant in a detailed structure which will allow anyone or anytime re-building of models from specific
features.

The platform stores every aspect of the imagery in private repositories per tenant in a detailed structure which will allow anyone or anytime re-building of models from specific
features.

The data segments can be stored and analyzed post processing or live. Tracking these reduced values can provide greater parallel processing while maintaining the integrity of the identification routines.

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Annotation

Our system automatically identifies and annotates every aspect of the item you wish to learn from.

The platform stores every aspect of the imagery in private repositories per tenant in a detailed structure which will allow anyone or anytime re-building of models from specific
features.

Every portion of our systems uses current machine learning standards for full portability across environments and internal systems & services.

Our system automatically identifies and annotates every aspect of the item you wish to learn from.

The platform stores every aspect of the imagery in private repositories per tenant in a detailed structure which will allow anyone or anytime re-building of models from specific features.

The platform stores every aspect of the imagery in private repositories per tenant in a detailed structure which will allow anyone or anytime re-building of models from specific features.