Ubiquitous sensors vs fast-moving adversaries. The race is on.

Sentient Systems

Gaining advantage by managing and exploiting complexity

Sentient Systems ensure that the right data is collected by the right sensors at the right time. These systems are core to the success of the future Intelligence, Surveillance, and Reconnaissance (ISR) activities.

This means fusing data from multiple sensors, tasking sensors to fill gaps and refine understanding, and pushing computation to the edge to reduce bandwidth requirements and accelerate our responses.

Boston Fusion develops and applies state-of-the-art data processing and machine learning algorithms to process and fuse data from multiple sensors, exploit multiple physics and non-physics based sensors, and leverage context to focus data collection. Our systems learn patterns of normal behavior (i.e. “patterns of life”), predict future activities and detect anomalies that might indicate changes in adversarial operations.

Our methods can exploit uncertainty information to better characterize the signal, provide enhanced clutter suppression to boost information, and determine the most salient features in multi-dimensional data.

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Human-Machine
Teaming
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Socio-Behavioral
Analytics
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Multi-Domain
Systems

"The aim of the future DOD ISR enterprise is to gain access to data from multiple domains (space, air, land, sea, and cyber); make rapid sense of that data; securely deliver that data to weapons, weapon systems, and commanders; and possess a workforce that can execute its mission in competition and combat, at a pace greater than the enemy. However, each service faces significant challenges with harnessing the exponential growth in data to realize the potential of disruptive technology and shaping the future workforce to employ these warfighting capabilities."