Operate
Edge AI
at scale.
Manage and operate AI and application workloads right where they’re needed: at the edge.








One edge platform for applications and AI
Avassa provides a single, consistent way to run software and AI at the edge across hundreds or thousands of sites. It’s made of two integrated components that work as one product.
The edge becomes a simple extension of the cloud tooling your teams already know — without Kubernetes clusters to babysit.
Explore the platformWhy teams choose Avassa
Application- & AI-centric
Built for the way teams actually operate workloads, not infrastructure plumbing. Deploy applications and models in a few clicks across large fleets.
Autonomous & offline-first
Every site runs on its own. Self-healing clustering with local registries and secrets keeps business-critical applications and AI inference alive through planned or unplanned disconnection.
Zero-trust by default
A layered security model across hosts, sites and tenants with encryption, distributed secrets and key rotation, without manual work.
Edge AI, powered by the
Avassa Edge Platform
Turn cameras, sensors, and machine data into Edge AI for real-time analytics. Avassa automates the full model lifecycle with automated deployment, GPU and device discovery, model-serving endpoints, and offline resilience. Beyond MLOps. Without Kubernetes.
Explore the solutionOperations tested at scale
10,000+
edge sites managed from a single Control Tower. Read the scalability report →
Gartner® Cool Vendor
in Edge Management and Orchestration.
Zero
Kubernetes clusters to build, patch or babysit.
Built for real-world edge environments
Kubernetes-level automation, without Kubernetes
Kubernetes was built for the cloud. The edge is the opposite. Avassa unlocks automation without the cluster sprawl.
And remember: OCI, not Kubernetes, is what made containers a standard.
Don’t just take our word for it
Avassa’s platform is like a Swiss Army knife for edge computing, packed with features designed to tackle the unique challenges of distributed environments. But what about legacy systems? Avassa’s got you covered! Avassa supports both containerized applications and virtual machines, building a bridge between the old world and the new—complete with guardrails and a safety net. They’re not just thinking outside the box; they’re redesigning the entire container ecosystem.
Avassa’s industry track record, its focus on the management and observability of workloads at scale and its recognition of the importance of location in the secure placement of edge applications make it stand out in an increasingly crowded edge-native orchestration field.
With the Avassa platform, we are able to deploy and operate our applications at the edge with ease, using the same mechanisms we already have in place for centralized cloud delivery. This delights our engineers since the edge becomes a simple extension of the tooling and patterns they have grown to love in the cloud.
Learn more about Shayne Clausson
Avassa allows us to set up the container orchestration without having to involve the Kubernetes experts at Xenit, which would have been a significantly bigger project for Floatel. The Avassa Edge platform makes container application lifecycle management, a not altogether trivial thing, extremely comprehensive and user-friendly.
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
Go deeper on edge operations

What Is Physical AI? Where Cloud-Based LLMs Meet the Physical World
Artificial Intelligence is moving out of the browser and into the physical world. Over the past few years, Large Language Models (LLMs) transformed how…
Read more
How to Leverage Physical AI at Scale: The Case for an Edge Platform
Physical AI is moving intelligence from digital environments into the physical world. Unlike cloud-based AI systems that primarily generate content or support human decision-making,…
Read more
OCI Is the Container Standard. Kubernetes Is Not.
Okay, let’s get right to it. Containers became an industry standard because of OCI, not because of Kubernetes. That distinction actually matters a whole…
Read moreSee what edge application operations look like with Avassa
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