Skayl wins Navy research awards

Skayl wins Navy research awards

Skayl, a Westminster-based tech start-up dedicated to revolutionizing systems integration from U.S. Defense to the Internet of Things to Smart Cities, won two Small Business Innovation Research awards from the U.S. Navy. These awards will enable Skayl to further advance two different aspects of complex system-of-systems integration, Skayl's key area of focus.

The first award is a Phase II SBIR with the Naval Air Systems Command (NAVAIR) focused on developing a configurable system for connecting heterogeneous systems. Building upon the work performed by researchers in the first phase, this award provides Skayl with the necessary capital to develop their idea into a functional prototype. The Configurable Transport Service Segment will make it possible to connect large, disparate systems without the need to hand-code each interaction. In addition to automatically translating data into the representation needed by the system on the other end of the transmitter, this technology also bridges systems that communicate using completely different protocols or methodologies.

The second award, a Phase I SBIR with the Naval Sea Systems Command (NAVSEA), is a dual-focused research project focused on developing methodologies to measure, quantify, and test the quality of data architectures. This project's aim is to ensure reliable integration and to provide the ability to manage complex states and signals for the sake of rapid integration. This research will build upon the NAVAIR effort by layering in additional state and signal management capability. In addition to managing different data and protocols, this will also help Skayl's technology to handle dynamically changing system behavior. Furthermore, this research will enhance combinatoric testing methods with Skayl's existing data model technology to generate a cost-effective yet complete test matrix for system-of-systems integration.

Skayl's processes use complex, multi-dimensional networks of information connected by a set of contextual relationships. This set-theory-based data architecture makes it possible to reorganize the entire model instantaneously and our tools make it possible to maintain this hyper-connectivity as the model is reorganized.

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