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< $10m
11 - 50
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SynSense is a leading-edge neuromorphic computing company. It provides dedicated mixed-signal neuromorphic processors which overcome the limitations of legacy von Neumann computers to provide an unprecedented combination of ultra-low power consumption and low-latency performance. SynSense has a unique technological edge and IP portfolio that comes from over 20 years of experience in mixed-signal neural processor design, advanced neural routing architectures, and neural algorithms.
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SynSense is a world leader in low-power neuromorphic computing and processor design. At SynSense, our vast expertise in designing low-power neuromorphic circuits, and our knowledge in theory of neuromorphic, cortical computation and machine learning, gives us a unique perspective and vision beyond what is believed to be possible with today’s technologies.
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SynSense is a provider of Industrial IoT analytics and modeling technologies.
Analytics & Modeling
Edge Analytics
Use Cases
Computer Vision
Edge Computing & Edge Intelligence
Remote Patient Monitoring
SynSense’s Technology Stack maps SynSense’s participation in the analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
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FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT applications. FogHorn’s software platform brings the power of Machine Learning and advanced analytics to the On-Premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, asset performance optimization, operational intelligence and Predictive Maintenance use cases.
Ekkono Solutions
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Ekkono is a software company. We license embedded software and the tools to make connected things smart. Machine Learning will not be used for one feature, but to make virtually all functions self-aware and predictive. This is why we empower product companies to do it yourself, using our tools. Our toolkit facilitates use cases like predictive/condition-based maintenance, self-configuring products, performance optimization, and entirely new business models. With Ekkono you can harmonize on one solution for all your edge machine learning needs.
CloudBackend makes sure edge Cloud Computing works throughout the world by enabling data and application roaming across all available edge and cloud infrastructures, providing customers with a single industrialized Distributed Cloud that abstracts underlying differences and acts as one. We build a global edge cloud, initially focused on automotive and IoT, but will eventually open up for any developer. Our goal is to disrupt conventional clouds with distributed Edge Computing. We provide the software to unify all edge clouds and broker the capacity of all infrastructure with zero CAPEX. CloudBackend uniquely ties together Edge Cloud Computing and Serverless Computing and completely removes the need of running your own code at the edge. By providing a no touch edge that automatically makes data available on demand whenever requested, the cloud can finally become industrialized. Customers in industries such as telecom, automotive, consumer electronics, industrial automation, and IoT, are actively searching for a solution to gather and process, manage, and synchronize data across the edge. Several companies are building Edge Cloud Computing Infrastructure and CloudBackend provides the technology that makes it possible for them to become part of the Edge Platform as a Service marketplace, where end-customers can buy capacity from a single legal entity and have an abstraction layer that removes all the complexities by having numerous underlying infrastructures and technologies. We believe we can make edge Cloud Computing the new default, the go to mainstream technology to make anything cloud related. Why build something for a purely centralized cloud, when you can build it native for the edge and enjoy reduced latency, a better user experience and world-wide coverage from day 1? It is time to move from Cloud Native to edge native.
IOTech’s aim is to be a leader in the global Edge/Fog IoT platform market through a productized open source business model and a channel strategy incorporating the key global IoT players who are looking to leverage OT software solutions and skills they do not currently possess.
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