Industrial automation for all markets
From IoT and industrial robots to home automation, Arteris technology helps chip design teams invent the future.
Overview
Arteris technology optimizes industrial operations worldwide
Innovation in industrial automation is transforming manufacturing, robotics, and logistics everywhere. To make this transformation effective, industrial IoT devices must have product lifecycles measured in decades, requiring components to be both durable and available over the long term.
Arteris technology helps leading industrial applications providers meet performance objectives by customizing SoC designs for optimal data flow, reducing latency, and increasing overall system performance. Developers can create ultra-low power chips, particularly beneficial for IoT devices and portable electronics that require extended battery life.
Due to the critical nature of industrial applications, semiconductors must have exceptionally low failure rates and meet stringent safety requirements. Arteris technology is designed to help ensure that chips meet the reliability and functional safety requirements for industrial systems and other safety-critical applications.
Advantages
Scale and safety for industrial systems
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Safety and reliability
Using Arteris System IP, developers can achieve ISO 26262-compliant design, verification, and documentation for safety-critical industrial systems.
Flexibility and scalability
Arteris System IP offerings are uniquely configurable, flexible, and scalable to meet the requirements for custom hardware, optimized for specific workloads.
Power efficiency and optimized PPA
Arteris interconnect IP solutions are designed to optimize the performance, power consumption, and cost of industrial systems.
Arteris FlexGen: Smart NoC IP revolutionizing semiconductor design
- 10x productivity boost
- Expert-level results
- Up to 30% wire length reduction
Products
Products for industrial
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Customers
Trusted by innovative companies everywhere

Resources
Resources
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- EE Journal: The Network-on-Chip Pioneer: How Arteris Enabling SoC Developers to Create Physically Valid NoCs Faster
- Electronic Design: All About NoCs
- SemiWiki: The Impact of Arteris on Automotive and Beyond with Frank Schirrmeister
- SemiWiki: A Broad View of Design Architectures and the Role of the NoC with Arteris’ Michal Siwinski
- EE Journal: The Freedom to Innovate: Arteris and the Rise of RISC-V
- SemiWiki: The Impact of Using a Physically Aware NoC with Charlie Janac
- Arm TechCon: Implementing ISO 26262 Compliant AI Systems-on-Chip with Arm and Arteris
- Automating the Generation of Scalable and Reusable FMEDA in Complex Systems-on-Chip (SoCs)
- Building Better IP with RTL Architect NoC IP Physical Exploration
- Challenges Adopting Fault Injection to Support Safety Analysis in Complex SoCs
- FMEDA Automation for Scalability and Reuse in Complex Systems on Chips (SoCs)
- Implementing Low-Power AI SoCs Using NoC Interconnect Technology
- Implementing Machine Learning & Neural Network Chip Architectures
- Is the Missing Safety Ingredient in Automotive AI Traceability?
- ISO 26262: What to Expect From Your Chip or IP Provider
- Routing Congestion: The Growing Cost of Wires
- Safety Considerations for Network-on-Chip (NoC) Development
- The Role of Networks-on-Chips Enabling AI/ML Silicon and Systems
- Tiled Approach to System Scaling
- Using Synopsys Z01X to Accelerate the Fault Injection Campaign of a Fully Configurable IP
- Magillem Registers – Automate the Hardware/Software Interface for Fast Chip Design
- Accelerating Timing Closure for Networks-on-Chip (NoCs) using Physical Awareness
- Optimizing Data Transport Architectures in RISC–V SoCs for AI/ML Applications
- FlexGen Product Tour
- Cache Coherency in Heterogeneous Systems
- Integration Challenges for RISC-V Designs
- Promises and Pitfalls of SoC Restructuring
- Scaling Performance in AI Systems
- Making SoC Integration Simple – Achieve Higher Productivity and Quality
- AMS System-Level Verification and Validation using UVM in SystemC and SystemC-AMS: Automotive Use Cases
- Routing Congestion: The Growing Cost of Wires
- Scalability – A Looming Problem in Safety Analysis
- Security in Artificial Intelligence
- Using Machine Learning for Characterizations of NoC Components
- Using Synopsys Z01X to Accelerate the Fault Injection Campaign of a Fully Configurable IP
- Using Virtual Prototypes to Improve the Traceability of Critical Embedded Systems Flow
- Making Cache Coherent SoC Design Easier with Ncore