The future of intelligence is neuromorphic

Brain-inspired, ultra-low power computing designed for real-world edge devices.

The world is flooded with data.

Traditional AI struggles to keep up with the growing volume of sensor data, consuming energy and delaying decisions.

A new computer architecture built for the real-world.

Neuromorphic processing reacts only to meaningful signals. Less compute. Faster decisions. Privacy-preserving intelligence directly on device.

Inspired by the brain. Built in silicon.

Spiking neural networks process information as discrete events, mirroring how biological neurons communicate.

SNN fabric (Analog + Digital)

Ultra-low-power, real-time intelligence for always-on, privacy-first edge devices.

RISC-V CPU SUB-system

Flexible control, programmability, and system orchestration for adaptive edge intelligence.

Multiple sensor interfaces

ADC, QSPI, UART, JTAG, P-DMA

Memory, FFT Accelerator, Power Management

ADC, QSPI, UART, JTAG, P-DMA

CNN Accelerator

Efficient dense inference enabling familiar AI models within tight edge power budgets.

Applications

Where our technology makes a difference

Consumer Electronics

Create products that react instantly to the real world. Neuromorphic AI processes audio, motion, and presence detection directly on-device, enabling responsive user experiences without cloud constraints. Devices become smarter, more intuitive, and privacy-first while maintaining ultra-efficient power consumption and seamless everyday interaction.

IOT & Smart Home

Move beyond simple triggers toward true contextual awareness. Event-driven sensing understands activity patterns and activates systems only when meaningful change occurs. This reduces unnecessary processing, improves automation accuracy, and allows smart environments to feel natural, adaptive, and unobtrusive to the people living within them.

Industrial

Turn raw sensor signals into early operational insight. Neuromorphic processing recognizes subtle temporal patterns in vibration, sound, temperature, or motion, helping teams identify faults before they escalate. Systems remain lightweight and efficient while enabling scalable monitoring across machines, assets, and complex industrial environments.

Wearables

Enable continuous intelligence without bulky hardware or frequent charging. Local interpretation of biosignals and movement supports adaptive interfaces, activity recognition, and responsive features. Neuromorphic compute keeps devices lightweight and discreet while delivering meaningful feedback directly where it matters most.

Deployment

Trusted by industry leaders

Impact

Driving global innovation in
neuromorphic computing

Explore Our product

ADACORSA – drones

The mission of the project is to unlock the potential of BVLOS drone operations, contribute to the increased and regulatory acceptance of drone use. The team also aims to strengthen the integration of the automotive and drone industries and reduce deployment costs with sensing technology from the automotive industry and COTS communication technologies and services.

Another goal is to embrace automotive-style efficient production of components and subsystems and integrate AI and data analytics into future air mobility. Within the ADACORSA project, Innatera deploys neuromorphic processors to do energy efficient on-board processing of sensor data in BVLOS drones.

AI4CSM – EV predictive maintenance

The AI4CSM project vision is to build Europe’s intelligent electronic components and systems for ECAS 2030 vehicles supporting European mass market production, manufacturability and scalability based on the Green Deal principles.

The project missions is to develop the functional architectures for next generation ECAS vehicles based on ECS, embedded intelligence and functional virtualization for connected and shared mobility using trustworthy AI. Innatera deploys the Spiking Neural Processor technology for predictive maintenance and anomaly detection in electric vehicles.

DAIS – industrial edge AI

DAIS (Distributed Artificial Intelligent System) is a pan-European project bringing faster, more secure and energy efficient data processing solutions through the development of edge AI software and hardware components.

DAIS approach is to provide trustworthy connectivity and interoperability by bringing the Internet of Things and Artificial Intelligence together in a distributed edge system for industrial applications. Innatera develops prototypes of power-efficient edge-AI applications for consumer applications

ShapeFuture

ShapeFuture will drive innovation in fundamental Electronic Components & Systems (ECS) that are essential for robust, powerful, fail-operational & integrated perception, cognition, AI-enabled decision making, resilient automation &

computing, as well as communications, for highly automated vehicles. Innatera deploys neuromorphic hardware for a situation-awareness enhancing driver support system.