Brain-Inspired AI for a Smarter Edge

Pioneering the next era of artificial intelligence through full-stack neuromorphic computing – radically energy-efficient, biologically inspired.

NEMO
Neuromorphic Processing
Consortium

NEMO is a technological consortium, supported by the Israeli Innovation Authority (IIA), developing breakthrough analog neuromorphic processing technologies to enable a new class of ultra-low-power AI based systems, from wearables to autonomous machines.

Ultra-Low
Power AI

Up to 1000 times lower power consumption than digital AI chips

End-to-End AI Platform

Full-stack platform:
Hardware → OS → Tools → Apps

Academic & Industry Collaboration

Leading partners from
academia and Israeli industry

Future-Proof Market Trajectory

Neuromorphic Market growth to $8.3B by 2034
(Yole Group Research)

Why Neuromorphic?

Traditional computing is hitting walls:

90% of total energy in modern AI chips is spent pushing data between the CPU and memory modules, not processing it.
AI networks implementations are growing faster than the compute power to handle them.
Edge devices require real-time intelligence with near-zero power budgets.

Neuromorphic processing changes this by embedding memory into the neuron structure, enabling massively parallel, event-driven, low-power computation. It is not just an incremental step, but a total paradigm shift.

Our Mission Statement:

NEMO’s mission is to establish a world-class, end-to-end neuromorphic processing ecosystem in Israel—developing both the foundational technology and the skilled workforce needed to lead the next generation of computing.

NEMO - A Full-Stack Generic Neuromorphic Platform

The NEMO Consortium implements the entire “value chain” for a neuromorphic processing platform (full stack) – from hardware devices, to the operating system and its interfaces and tools for various applications.

Ultra-low power – The NEMO Consortium’s neuromorphic processing platform combines various strategies to reduce its processing power, including – in memory processing, analog AI processing technology, sub threshold processing neurons technology and a significantly lower number of neurons and synapses, which will enable sub-milli-watt power consumption.

Flexible – Implementation of hybrid solutions for Spiking Neural Networking (SNN) & analog Artificial Neural Networking (ANN). The platform modular architecture will enable support of larger number of neurons and synapses where needed.

Main Activities:

In order to meet its objectives, the NEMO participants are organized into four major work groups, which are responsible for:

Neuromorphic IC Technologies – Neuromorphic in memory computation IC Technologies,
Process Design Kits (PDKs)
Neuromorphic ICs design using the advanced PDKs- Hardware & Analog Cores Design,
Generic interfaces, Neuromorphic IC developments, Nemo Platform development board
SW development tools for the Nemo platform – operating system, simulator platform,
software tools
System level implementation using the Nemo platform - Neuromorphic AI Models,
application simulations over the Nemo platform, Integration, Demonstrators