Harnessing Nature's Intelligence to Revolutionize Al

Local processing

Our engine will allow the development of low-power, edge-computing based AI, suitable to be embedded into IOT devices, robots, cars, and other devices around us, making them intelligent and truly autonomous since they will not need internet or cloud connectivity.

Self-learning

Assimilate algorithms directly at the hardware level. Self-learning devices will be more energy-efficient, versatile, and adaptable in the future.

Low power

The engine is meticulously engineered to address the prevailing challenges of power consumption and computing placement. It can be easily integrated into any device, making it a significant milestone in the evolution of intelligent and efficient computing.

Data privacy

Control over your data since no third party will be involved in data manipulation. All the calculus will be done locally, inside our neuromorphic engine, ethics included.

Increased processing capacity

Using analog methods instead of binary, local processing capacity is increased allowing machine learning algorithms to run locally. ​ No continuous communication with the cloud is required for machine learning.

High​ Parallelism

The engine has a high level of parallelism, which increases the number of calculations per second.