About Gemesys
Bochum-based spin-off from Ruhr-University Bochum developing analog neural-network chips built on memristors, for training and inference on edge devices. It announced €8.6M in pre-seed funding on 19 November 2024, led by Amadeus APEX Technology Fund and Atlantic Labs, and had a working hardware demonstrator with silicon testing still to come.
Gemesys was founded in 2021 and is based in Bochum, Germany. It is listed under Analog Computing, Neuromorphic Computing, Edge Computing. Reported funding is €8.6M pre-seed (Nov 2024).
Compute Technologies
- Analog Computing
- Neuromorphic
- Edge AI
What Gemesys works on
Analog Computing
Analog computing represents numbers as continuous physical quantities, such as voltage or current, rather than as strings of 0s and 1s. The physics of the circuit does the calculation. For example, Ohm's law and Kirchhoff's current law let a grid of resistors multiply and add numbers at once.
Neuromorphic Computing
Neuromorphic computing builds chips that copy some features of the brain. Instead of a central processor and separate memory, a neuromorphic chip has many small units that act like neurons, each with its own local memory, joined by connections that act like synapses.
Edge Computing
Edge computing means processing data close to where it is produced, on a device or a nearby server, instead of sending everything to a distant cloud data center. In chip terms, edge processors are small, low-power chips that run software and AI models inside phones, cameras, cars and sensors.
Also in Germany
SEMRON, SpiNNcloud Systems, Quintauris, Bosch Semiconductors, Anabrid
