When commercial components cannot solve the problem, we can respond more quickly and cost-effectively than larger corporations to our customers' evolving requirements.

Sensing Strategies was founded with the vision of anticipating remote sensing needs and investing accordingly in new concepts and technologies. This approach has led to a number of core competencies that give us an advantage in key technology areas. Through internally-funded R&D efforts, we experiment with cutting edge technologies, novel optical and electronic designs, and signal processing techniques. These efforts allow us to confidently respond to customer needs with solutions having high technical readiness.


Sensing Strategies was founded in 2000. From our inception, we have applied physics-based phenomenology and sensor modeling to identify viable technical approaches that fill customer capability gaps. As our company has evolved, so has our ability to provide sophisticated hardware and automated processing solutions for ground, sea, air and space-based applications. Our success has led to a high level of repeat business from a wide range of customers. We have also successfully transitioned SBIR programs to government and commercial applications.


Our Central New Jersey facility includes dedicated laboratory space, conference rooms, and secure computing facilities. We have multiple optical test and electronics development laboratories, automated optical test stations, clean benches, and environmental chambers. We have invested in calibrated sensors, optical calibration sources, and test instrumentation to support quantitative radiometric data products for defense and commercial applications. We also own a number of laser systems to support development and testing.


Sensing Strategies provides leadership in a diverse set of technical areas. We recruit employees who can apply core technical skills to key problem areas and enthusiastically expand their technical roles as new opportunities evolve. We seek applicants in the fields of engineering and applied sciences, preferably with some familiarity with remote sensing systems. Typical activities include electrical, mechanical and optical design, software, firmware and algorithm development, mathematical modelling and experimental work.