Real-Time Edge Platform

The Standard for Mixed-Criticality Orchestration

Empower your Edge infrastructure with the industry's first Safety-certified real-time operating system integrated with Kubernetes orchestration.

Seamless Edge-to-Cloud Integration for efficient data flow
Real-time data processing for fast decision-making
Certified Safety & Security for critical systems
Remote device management for centralized control
Scalable architecture for diverse IoT ecosystems

Complex and costly Updates

Example: Industrial Automation

Factories deploy thousands of Edge devices to monitor and control production lines. When updates or Security patches are required, manually updating each device is costly and time-consuming. Without centralized management, outdated software can lead to operational inefficiencies or even Security breaches.

Security Risks: A growing Attack Surface

Example: Smart Cities

Connected traffic lights, surveillance cameras, and sensors collect vast amounts of data. However, each connected device represents a potential entry point for cyberattacks. For example, hackers could breached water treatment facilities by exploiting remote access, highlighting the risks of unsecured Edge devices.

Scaling Limitations in dynamic Environments

Example: Retail and Quick Service Restaurants (QSRs)

Retail chains are integrating AI-powered kiosks and drive-thru automation to enhance customer service. However, traditional Edge computing struggles to scale dynamically. A system designed for fixed workloads cannot easily accommodate new AI models or demand spikes without significant infrastructure changes.

Performance: Real-Time vs. Non-critical Workloads

Example: Autonomous Vehicles

Self-driving cars process vast amounts of real-time data from LiDAR, cameras, and sensors. If non-critical tasks—like software updates or logging—compete for processing power, it can delay crucial decisions, leading to Safety risks. Legacy Edge systems often lack the ability to properly prioritize workloads in these environments.

Safety

Fulfill hard real-time requirements and underly strict time partitioning
Segregation by means of strict resource partioning
Certifiable to highest Safety standards:
DO-178C DAL A, ISO 26262 ASIL D, IEC 61508 SIL 4,
EN 50716 SIL 4, ECSS Cat A

Security

Highest level of isolation
Defined communication channels
Certfiable to Common Criteria EAL 5+

Mixed Criticality

Hardware consolidation: Parallel execution of high critical and general purpose container applications on the same platform

Footprint

Low memory footprint (<4 MB)
Fast boot time
Lightweight container format

Real-Time Edge Orchestration for High-Assurance Embedded Systems

Download the Whitepaper

Without Kubernetes

Manual scaling and updates
Siloed devices and fragmented management
Increased downtime and Security vulnerabilities

With Kubernetes

Dynamic Scaling: Add or remove applications based on demand
Automated Updates: Roll out patches and features effortlessly
Self-Healing: Detect and recover from failures instantly

Read the Blog Article on Kubernetes

Industrial Automation

Predictive maintenance with real-time analytics
Process optimization for smart manufacturing

Aerospace & Defense

Secure communication for mission-critical systems
Autonomous operations with Safety guarantees

Automotive

Autonomous driving support with certified Safety
Over-the-air updates for connected vehicles

Healthcare

Real-time monitoring in smart hospitals
AI-based diagnostics at the Edge

Lightweight Virtualization

PikeOS containers offer minimal overhead compared to standard container runtimes

Secure Orchestration

Certified communication paths between the Kubelet and the Safety-critical partition controller

Unified Management

Orchestrate both High-Safety and general-purpose workloads using standard Kubernetes tools

Certification

Leverage SYSGO certification kits for ISO 26262, EN 50716, or DO-178C