Edge Device Firmware
Let us develop optimized firmware for your embedded edge device. We have expertise in real-time Linux on heterogeneous multicore processors – including ARM, DSP, FPGA, and GPU hardware acceleration.
Streaming Analytics & Machine Learning
Leverage our expertise in real-time machine learning, deep learning, and vision analytics to bring your cognitive product concept to market.
We can assist your team with architecting and deploying distributed analytics in a scalable and extensible edge-to-enterprise environment.
Edgespace is focused on real-time artificial intelligence and machine learning at the edge of the network.
We provide developers, OEMs, and integrators a solution that integrates compute and storage into the edge devices that define today’s production and distribution environment. Our approach transforms raw data into insights and rules-based action, right at the point of collection – speeding response, improving decision quality, and enhancing efficiency.
Who We Serve
Optimize equipment use and lower costs using predictive analytics for condition-based maintenance. Enable autonomous vehicle and machine behavior using sensors and location-aware IoT edge devices.
Improve the management of urban flows and allow for rapid response as challenges arise. Predict infrastructure usage and respond in real time to dynamic events using localized intelligence.
Smart Supply Chain
Improve traceability and provide advanced analytics for forecasting and operational planning. Implement real-time transaction security in transportation, warehousing and distribution.