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Microtronix Corporation is a Colorado Springs, CO-based company in the Computers and Electronics sector.
Vision RNG brought together a team of seasoned professionals with decades of experience across the natural gas and waste management industries. Combining proven LFG technologies with processes widely used in the conventional natural gas sector, we provide a unique solution to capture, process, and commercialize LFG at mid-sized sites previously considered too small for viable projects. Throughout our careers, we have successfully developed numerous biogas, conventional natural gas, and other infrastructure projects, including over 70 LFG beneficial use projects. Our leadership team and partners have worked with the largest suppliers of natural gas construction and operation services in the industry, and have been on the leading edge of gas extraction, processing and transportation technologies.
Irvine Sensors Corporation (ISC), headquartered in Costa Mesa, California, is a vision systems company engaged in the development and sale of miniaturized infrared and electro-optical cameras, ultra high speed image processors, 3D laser imaging systems, and stacked chip assemblies.
Holihan Law is a Maitland, FL-based company in the Computers and Electronics sector.
Our mission is to drive the future of edge computing with our FPGA silicon platforms. At the heart of our FPGAs is our disruptive Quantum™ fabric, which delivers a big Power-Performance-Area advantage over traditional FPGA technologies. Trion® FPGAs, offering 4K to 120K logic elements (LEs), have a small form factor, low power, are priced for high-volume production, and are available now in volume quantities. Taking it to the next level, Trion Titanium FPGAs have an enhanced Quantum compute fabric combined with a 16 nm process to give even lower power and higher speeds. With densities ranging from 25K LEs to 500K LEs, Titanium FPGAs are ready to meet your next design challenge. With their Power-Performance-Area advantage, Trion and Trion Titanium FPGAs address applications such as custom logic, compute acceleration, machine learning, and deep learning.