Edge Computing Platform

Unlock Real-Time, Secure, and Scalable Edge Computing with PikeOS

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

The Challenge: Why Edge Computing needs to evolve

The Edge is expanding — and so are the challenges. With the rapid expansion of IoT, AI, and real-time analytics, traditional Edge Computing is struggling to keep up.

But why? Let’s break it down with concrete examples:

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 Without centralized management, outdated software can lead to operational inefficiencies or even Security breaches.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.

Empower critical Edge Applications with unmatched Security and Scalability

Built for the Future of Edge: Real-time, secure, and scalable PikeOS is the industry’s first Safety-certified real-time operating system integrated with Kubernetes.

PikeOS is a real-time operating system designed to manage both Safety-critical and non-critical applications seamlessly. With integrated Kubernetes orchestration the platform enables dynamic scalability, centralized management, and secure deployment of workloads across distributed Edge devices.

Real-Time Performance: Precise execution for Safety-critical tasks

Built-In Security: Certified compliance and strong isolation

Dynamic Scalability: Scale partitions and containers on demand

Unified Platform: Manage all workloads in one system

Cloud-native Integration: Centralized control with Kubernetes

The Power of Kubernetes at the Edge

Bring Cloud-native Agility to real-time Edge applications:

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

Cloud-native Edge Orchestration made simple

PikeOS leverages a Cloud-based Kubernetes control plane to manage edge nodes efficiently:

Node 1:
Critical partitions (for real-time Safety-critical tasks)

Node 2:
Non-critical applications (running Docker containers)

Key Features

Secure Communication: Encrypted data flow between Cloud control and Edge nodes
Dynamic Partitioning: Scale partitions in real-time without compromising Safety
Self-Healing: Automated recovery for failed applications and nodes

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

Real-Time Performance

Deterministic Responses: Execute critical tasks with precise timing
Isolated Partitions: Ensure real-time tasks run without interference

➡️ Benefit: Reliable performance for Safety-critical systems

Simplified Management

Centralized Control: Manage deployments and updates remotely via Kubernetes
Automated Recovery: Self-healing capabilities minimize downtime

➡️ Benefit: Reduce operational complexity and costs

Built-In Security

Certified Compliance: Certifiable to the highest industry standards
Zero-Trust Security: Encrypted communications and strict access control

➡️ Benefit: Protect your Edge infrastructure from threats

Dynamic Scalability

Scale Efficiently: Adjust resources for both critical and non-critical tasks
Seamless Expansion: Easily add new devices and applications

➡️ Benefit: Respond faster to changing demands

Unified Platform

Run Anything: Manage safety-critical and non-critical apps under one system
Simplified Compliance: Unified platform simplifies audits and certifications

➡️ Benefit: Lower costs and streamline compliance

Future-Proof Your Edge Strategy

Cloud-Native Integration: Leverage Kubernetes for seamless Cloud-Edge orchestration

➡️ Benefit: Invest in a scalable and compliant platform