Matterwave Ventures

Innatera develops ultra-low-power neuromorphic processors for sensors. Founded in 2018 as a spin-off from Delft University of Technology, the company designs neuromorphic chips that mimic brain mechanisms for processing sensory data. The processors use continuous-time analog-mixed signal computing to replicate spiking neurons and synapses, enabling sensor data to be processed faster and with substantially less energy than conventional processors.

ZeroPoint Technologies specializes in innovative memory compression technology aimed at enhancing data center and smart device efficiency. By removing up to 70% of unnecessary information from microchips, the company enables significantly improved performance, achieving up to 50% more performance per watt. This technology combines ultra-fast data compression, real-time data compaction, and transparent memory management into a single solution, making it distinct in the industry. The company's products allow data centers to maximize performance while minimizing energy consumption, and enable smart device developers to enhance performance and user experience without sacrificing battery life. ZeroPoint's approach is founded on decades of research from a renowned academic group, supported by a robust patent portfolio and a continuous pipeline of innovative ideas. The company delivers hardware intellectual property blocks that clients can integrate into their systems on a chip (SoC) and collaborates closely with industry leaders on advanced technology projects.

Innatera develops ultra-low-power neuromorphic processors for sensors. Founded in 2018 as a spin-off from Delft University of Technology, the company designs neuromorphic chips that mimic brain mechanisms for processing sensory data. The processors use continuous-time analog-mixed signal computing to replicate spiking neurons and synapses, enabling sensor data to be processed faster and with substantially less energy than conventional processors.

Innatera develops ultra-low-power neuromorphic processors for sensors. Founded in 2018 as a spin-off from Delft University of Technology, the company designs neuromorphic chips that mimic brain mechanisms for processing sensory data. The processors use continuous-time analog-mixed signal computing to replicate spiking neurons and synapses, enabling sensor data to be processed faster and with substantially less energy than conventional processors.