At Innatera, we are committed to spearheading cutting edge innovation projects with a consortium of industry partners, academic organizations and research institutes using our neuromorphic AI technology.

Selected Projects


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.

Grant no. 876019

Within the ADACORSA project, Innatera deploys neuromorphic processors to do energy efficient on-board processing of sensor data in BVLOS drones.


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.

Grant no. 101007326

Innatera deploys the Spiking Neural Processor technology for predictive maintenance and anomaly detection in electric vehicles.


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.

Grant no. 101007273

Innatera develops prototypes of power-efficient edge-AI applications for consumer applications


The EU-funded CLEVER project aims to give the EU a competitive edge by introducing innovative solutions in the area of hardware accelerators, design stack, and middleware software that will enhance the adaptability and resource efficiency of edge computing platforms. The project will also develop a resource management framework for seamless use of federated resources, enabling EU organisations in many sectors, such as manufacturing, agriculture, smart environments and augmented reality, to use edge computing more effectively and efficiently.

Grant no. 101097560

Innatera develops software tools to enable seamless integration of neuromorphic processors with conventional hardware for AI applications.

Chips JU AI-Q Ready

The A-IQ Ready project aims to introduce and materialise an intelligent autonomous ECS fit for our digital age and utilise crucial technologies, like edge continuum orchestration for artificial intelligence, distributed collaborative intelligence and quantum sensing, which could prove revolutionary for most services and industries. These technologies and their combination will propel the transition to a Europe of Society 5.0.

Grant no. 101096658

Innatera develops prototypes of neuromorphic hardware for federated intelligence in complex automotive applications.

EIC Accelerator - Spiking Neural Processor

At the sensor edge, SNP can deliver always-on pattern recognition functionalities in power & latency-sensitive applications via an innovative programmable architecture. It enables application-specific customers to implement immediately ready-to-use high-performance pattern recognition. SNP delivers market-leading differentiation with faster time-to-market & reduced development effort.

Grant no. 190123060

Within this project we research the technologies which form the next-generation of our Spiking Neural Processor product line.