OpenSynergy

Semusi enables App Developer to easily deliver smarter Apps which learn, personalize and engage users when relevant. Semusi is a context-awareness SaaS and SDK platform for software developers to build smarter apps. Using techniques such as Machine Learning, Smart Sensors, and natural language algorithms, Semusi lets developers build highly personalised and engaging apps that appeal to customers on a more personal basis.

Signalogic is organized into two (2) business lines:1) Supercomputing Systems2) Embedded SystemsThe Supercomputing Systems product line offers high-performance computing (HPC) systems and applications. Our combined hardware-software solution accelerates servers of all shapes and sizes more than two orders of magnitude at a fraction of the power consumption, size, and weight of competing solutions. Signalogic's architecture fits the trend of heterogeneous CPU server evolution with emphasis on mainstream Linux-based programming and Open Source software combined with standard programming interfaces such as OpenMP.The Embedded Systems product line offers small form-factor, low power consumption systems and applications, including embedded multicore CPU modules, micro motherboards, and PC104 and similar boards.The company offers a range of off-the-shelf products as well as design and engineering services. The company maintains core competence in both hardware and software design. We work closely with Texas Instruments and their multicore CPU division

LILEE Systems, an Inc. 500 award-winner, is capitalizing on the growing market for providing secure and reliable connectivity for IoT and Fog Computing. LILEE’s Fog Computing platforms enable a higher level of customizable services which can be deployed to enhance safety, grow ridership, improve customer satisfaction, increase operational efficiency, and seamlessly interconnect IoT applications in the Smart World.

Founded in 1982, Green Hills Software, Inc. is the largest independent vendor of embedded development solutions. In 2005, Green Hills INTEGRITY microkernel technology was independently certified by both TUV and exida to both IEC61508 SIL 3 and EN50128 SWSIL 4, the highest functional safety level possible for independent software components. In 2008, the Green Hills INTEGRITY microkernel technology was certified by the NSA to EAL6+ High Robustness, the highest level of security ever achieved for any software product. In 2012, Green Hills MULTI toolchain obtained ISO 26262 ASIL D qualification, IEC61508 SIL4 certification and EN50128 SWSIL4 certification by TUV and exida, signifying its accepted use when developing the most safety critical software components in automotive, industrial and rail. Our open architecture, integrated development solutions and uniquely qualified in-house expertise address deeply embedded, high performance, absolute security and high-reliability applications for the networking, military/avionics, medical, industrial, automotive, consumer, mobile and other markets that demand industry-certified solutions. Green Hills Software is headquartered in Santa Barbara, CA, with European headquarters in the United Kingdom.

Civil Maps' sensor-agnostic platform enables vehicular cognition for self-driving cars, emulating the mental routines of human cognition used in the tasks of driving and navigation. OEMs of all types, mapping companies, and mobility providers use our technology to advance their autonomous driving initiatives by integrating our Cognition Engine with their decision-making stack and sensor configurations of choice. Civil Maps enables vehicles to develop and leverage their own ental model of the world; they can can create, utilize, and crowdsource maps with the industry's most cost-effective, scalable, and robust methods available today. Civil Maps proprietary fingerprinting technology is at the core of our offerings in Sensor Fusion, 3D mapping, centimeter-accurate localization in 6 Degrees of Freedom (6DoF), and machine perception. While empowering vehicles with full environmental awareness and enhanced safety, Civil Maps is able to dramatically reduce the cost, compute, and energy requirements involved in continental-scale deployment of autonomous cars, trucks, and heavy equipment.