Innatera partners with 42 Technology on edge neuromorphic AI

Innatera and 42 Technology formed a partnership to accelerate use of neuromorphic processors in consumer, industrial, and manufacturing applications, citing a focus on edge Artificial Intelligence (AI) for anomaly detection and condition monitoring to reduce unplanned downtime, improve asset reliability, and strengthen operational safety.

42 Technology described itself as a Cambridge-based product development consultancy with nearly three decades of experience, offering mechanical and electronics design, sensor systems, manufacturing innovation, and user-centred design across the lifecycle from insights and strategy through prototyping, industrialisation, and scale-up for industrial, consumer, energy, and healthcare clients.

Innatera said its neuromorphic processors are built around Spiking Neural Networks (SNNs) and use an event-driven Spiking Neural Processor (SNP) architecture that delivered ultra-low power consumption and sub-millisecond response times, enabling always-on pattern recognition and anomaly detection directly at the sensor edge without depending on cloud infrastructure.

The partnership combined Innatera's spiking neural processors with 42T's experience in complex industrial systems and focused on developing edge AI solutions for anomaly detection and condition monitoring, with the stated intention of helping end customers reduce unplanned downtime, improve asset reliability, and strengthen operational safety through continuous, localised insight.

“Neuromorphic computing is one of the most disruptive developments we've seen in industrial sensing and control for a long time,” said Jon Spratley.

“Across industries, products are being packed with sensors, but too often that rich data never turns into meaningful insight where it matters most: inside the device,” said Sumeet Kumar. The companies said the collaboration would focus on developing edge AI solutions for anomaly detection and condition monitoring and would move capability from lab prototype into real products.