Innatera Selects Synopsys Simulation to Scale Brain-Inspired Processors for Edge Devices

Synopsys helps Innatera design chips that enable real-time, energy-efficient AI processing at the edge, catalyzing the development of next-generation applications in physical AI

Published on Mar. 2, 2026

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Innatera, a leader in brain-like neuromorphic computing for ultra-low-power intelligence at the sensor edge, has selected Synopsys, Inc. for the design and validation of its next-generation neuromorphic microcontrollers. Synopsys' solutions for electrostatic discharge (ESD) and power integrity analysis will help Innatera scale its operations to meet the growing demand for edge processing in industrial sensors, robotics, wearables, and smart home technologies.

Why it matters

Neuromorphic microcontrollers that process information through Spiking Neural Networks (SNNs) can deliver brain-inspired intelligence at the sensor edge, enabling real-time, ultra-low-power operation in sensor-rich environments where responsiveness and energy efficiency are critical. Innatera's architecture combines mixed-signal analog computation, dense interconnects, and low-voltage design, which are key enablers of efficiency but potential sources of electrical noise and ESD sensitivity. Synopsys' solutions help address these challenges and ensure robust performance across Innatera's complex neuromorphic circuits.

The details

Synopsys' PathFinder-SC simulates ESD events at scale, identifying vulnerabilities and root causes before the final design goes to manufacturing, ensuring chips are functioning optimally against real-world electrostatic occurrences. It also provides early, high-fidelity modeling of analog behavior, empowering designers to validate performance under diverse conditions. Synopsys' Totem platform performs detailed power integrity analysis at the transistor level, ensuring reliable power delivery and optimal performance for highly efficient AI tasks. By pairing Totem's high-fidelity modeling of typical operating conditions with PathFinder-SC's capacity to identify and address ESD risks, the solution provides designers with a comprehensive reliability tool.

  • Innatera selected Synopsys in March 2026.

The players

Innatera

The leader in brain-like neuromorphic computing for ultra-low-power intelligence at the sensor edge.

Synopsys, Inc.

A leading provider of engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products.

Pulsar

The world's first commercial neuromorphic microcontroller developed by Innatera, which optimizes AI workloads at the edge by combining flexible computing architecture, resulting in up to 100x lower latency and 500x lower energy consumption than conventional AI processors.

Aditya Dalakoti

The director of SoC and mixed-signal at Innatera.

Prith Banerjee

The senior vice president at Ansys, part of Synopsys.

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What they’re saying

“Innatera's mission to redefine edge AI through neuromorphic computing requires both technological innovation and reliable design collaboration. Synopsys stood out for its leading technology and unwavering support for startups in the edge AI ecosystem. Its ESD analysis solution and collaborative approach enable us to scale into real-world, adaptive applications with enhanced speed, usability, and versatility.”

— Aditya Dalakoti, Director of SoC and mixed-signal at Innatera (PRNewswire)

“By enabling Innatera to accelerate product development and scale confidently, Synopsys reinforces its role as a catalyst for cutting-edge technologies shaping the future of embedded AI. This collaboration underscores our commitment to empowering innovation across the semiconductor ecosystem, from global enterprises to emerging startups. As edge computing becomes increasingly central to real-time intelligence, Synopsys simulation is helping innovators bring efficient AI where it's most needed.”

— Prith Banerjee, Senior Vice President at Ansys, part of Synopsys (PRNewswire)

The takeaway

Synopsys' collaboration with Innatera highlights the critical role of reliable design tools and simulation in enabling the development of cutting-edge neuromorphic computing technologies for edge AI. By addressing key challenges like ESD and power integrity, Synopsys is helping Innatera scale its brain-inspired processors to meet the growing demand for energy-efficient, real-time intelligence at the sensor edge.