Edge Platform for Manufacturing & Industrial IoT
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.
Secure and remote application management for the industrial edge.
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 servers. 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.
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.
Achieve operational excellence with the Avassa Edge 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.
Insights and actions at the source
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.
Secure-by-design with deep isolation
Deep isolation for IT, OT, and 3rd party vendors lets multiple teams safely share the same edge hardware with segmentation aligned to ISA-95.
Edge computing use cases in manufacturing
Predictive maintenance and machine monitoring
Deploy and manage applications that monitor the health and performance of manufacturing equipment across various locations. These industrial IoT applications analyze data locally to predict maintenance needs, reducing downtime and extending the lifespan of machinery.
Quality control and inspection
The industrial edge platform supports 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 manages applications that track and optimize inventory levels and supply chain processes across multiple manufacturing sites. Local data processing allows real-time responses to inventory changes, helping to avoid stock-outs or excess inventory.
Energy management and operational efficiency
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
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.
Hear it from a customer
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.
Learn more about Ida Rehnström
Frequently Asked Questions
What is the industrial IoT edge?
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.
How does edge computing in manufacturing boost data security compared to cloud-only approaches?
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.
What role does AI and Machine Learning play in industrial IoT solutions at the edge?
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.
How does edge computing support Industry 4.0 initiatives?
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.
What’s the difference between PLC and edge computing in industrial automation?
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, and is also the perfect solution for managing soft PLCs at the edge.
How can manufacturers deploy and manage edge applications across multiple industrial sites?
By using a centralized edge orchestration platform like Avassa to deploy, update, and monitor containerized applications across all sites from a single control plane.
How does edge computing support industrial automation?
It processes machine and sensor data locally in real time, enabling instant control decisions, predictive maintenance, and continuous operation even without cloud connectivity.
Interested in learning more about our technology?
Send us a message and we’ll let you know how we can help.