Edge Platform for Manufacturing & Industrial IoT

Secure and remote application management for the industrial edge.
Operate and lifecycle-manage industrial workloads with ease.

Industrial enterprises require over-the-air management, outage resilience, and robust security for their edge workloads. Securely update, monitor, and troubleshoot edge applications and OS, at scale, and where connectivity isn’t taken for granted.

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Industrial edge intelligence thrives when containers run right on your machines or factory floor, leveraging OT data for real-time decisions, ensuring autonomous operations, and smarter solutions.
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Over-the-air application deployments at scale Roll out, update, and roll back workloads across hundreds of factories or machines from a single control plane, automated and secure.
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Autonomous sites, online and offline Each factory or machine operates when connectivity drops, through a local orchestrator, secrets manager, and registry.
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Secure-by-design with deep isolation Deep isolation for IT, OT, and 3rd party vendors allows multiple teams to safely share the same edge hardware with proper segmentation aligned to ISA-95.

What is Edge Computing in Industrial Environments?

Edge computing is a distributed approach where applications and AI workloads run directly on the factory floor, in machines, gateways, or on-premise server. For manufacturers or machine builders generating continuous streams of data from connected equipment, this means insights and actions happen at the source, where milliseconds and uptime matter most. Here’s what  edge computing offers:

  • Real-time data processing: Analyze and act on machine and sensor data instantly at the source
  • Faster decision-making: Skip delays caused by sending data to the cloud and back
  • Offline capabilities: Maintain operations even during network disruptions
  • Network segmentation: Leverage an edge-to-cloud approach while following ISA-95/Purdue principles
  • Higher efficiency: Enable smarter, more responsive industrial edge systems

Achieve Operational Excellence with the AvassaEdge Platform

Operational excellence depends on speed, resilience, and control at scale. Avassa runs containerized applications and virtual machines directly on the factory floor, powering real-time automation, reduced downtime, and streamlined management across every site, even offline.

  • Non-Stop Operations Real-time data processing on the factory floor keeps machine control, predictive maintenance, and quality inspection running, even when the cloud isn’t.
  • Resilient in Low-Resource Environments Applications and AI models execute autonomously at the edge, so single sites and global fleets keep performing through unstable or constrained connectivity.
  • Smooth Application Deployment Deploy, update, and monitor containerized workloads across distributed sites from one platform, less overhead, automated rollouts.
  • Centralized Control, Local Autonomy A single control plane manages every site globally, without sacrificing on-site performance or independence, and with smooth cloud integrations. 
  • Automated Discovery & Placement Avassa detects cameras, sensors, and GPUs across your edge and intelligently places workloads based on available resources at each site.
  • Edge-Native Observability Track metrics, logs, and application status across all manufacturing sites with built-in transparency, purpose-built for the edge.
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Seamless Integration with Industrial IoT Platforms

Avassa is designed to work seamlessly alongside your existing industrial IoT platforms and infrastructure. With features like automatic discovery of devices—including cameras and GPUs—and intelligent application placement based on hardware availability, Avassa fits naturally into modern manufacturing environments. Our platform provides a comprehensive overview of which industrial IoT applications are running at which locations, with built-in edge-native monitoring and observability. Whether you’re deploying advanced analytics, vision processing, or process automation, Avassa makes industrial edge computing easy to adopt and scale—without reworking your entire tech stack.

  • Automatic discovery of devices such as cameras or GPUs
  • Automated placement of applications based on device and GPU availability
  • Comprehensive overview and control of which applications run in which on-site location
  • Edge-native monitoring and observability

Edge Computing Use Cases in Manufacturing

  • Predictive Maintenance and Machine Monitoring: Avassa can be used to deploy and manage applications that monitor the health and performance of manufacturing equipment across various locations. These industrial IoT applications can analyze data locally to predict maintenance needs, reducing downtime and extending the lifespan of machinery.
  • Quality Control and Inspection: The industrial edge platform can support applications that perform real-time quality checks and inspections on the production line. By processing data on-site, manufacturers can quickly identify and address quality issues, ensuring product standards are consistently met.
  • Supply Chain and Inventory Optimization: Avassa can manage applications that track and optimize inventory levels and supply chain processes across multiple manufacturing sites. Local data processing allows for real-time responses to inventory changes, helping to avoid stock outs or excess inventory and improving overall supply chain efficiency.
  • Energy Management and Operational Efficiency: The IoT edge platform can be used to control and monitor applications that manage energy usage and other resources in manufacturing facilities. By processing this information locally, facilities can optimize energy consumption and operational efficiency, leading to cost savings and reduced environmental impact.
  • Safety and Compliance Monitoring: Avassa can deploy applications that continuously monitor safety conditions and compliance with regulatory standards across manufacturing sites. Local data processing enables immediate responses to potential safety hazards or compliance issues, enhancing worker safety and regulatory adherence.
See How Avassa Powers Industrial Edge at Scale
Smart industrial facility with IoT-enabled security, automation, and monitoring systems for logistics, factory, and perimeter control.

Industrial Leaders Choose Avassa for Industrial Edge

  • “Before including Avassa as part of our delivery, we had to manually install, version, and troubleshoot our LiDAR devices which quickly became very time-consuming as we began to scale. With Avassa, we are able to deliver our product as-a-service and lifecycle manage the distributed software in a centralized, remote, and secure fashion. This helps us significantly reduce overhead and instead focus on creative competitive new features for our customers.”
    Ida Rehnström, COO of Flasheye
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Frequently Asked Questions

The industrial IoT edge is the layer of compute on or near factory equipment where data from machines, sensors, and cameras is processed locally instead of in the cloud.

Edge computing keeps sensitive data on-site, reducing exposure to external threats. Avassa adds secure access control, encryption, and audit logging at every edge location.

AI and ML enable predictive maintenance, quality control, and anomaly detection—right where data is generated. Avassa ensures these workloads run reliably and securely at the industrial edge, close to the machines they serve.

Edge computing enables real-time automation, smart analytics, and decentralized decision-making. Avassa powers these initiatives by managing industrial IoT applications directly at the edge.

PLCs control machinery at a hardware level, while edge computing handles advanced applications like analytics and orchestration. Avassa complements PLCs by running modern workloads alongside them at the edge. It’s also the perfect solution for managing soft PLCs at the edge.

By using a centralized edge orchestration platform like Avassa to deploy, update, and monitor containerized applications across all sites from a single control plane.

It processes machine and sensor data locally in real time, enabling instant control decisions, predictive maintenance, and continuous operation even without cloud connectivity.

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