SERVICE // VISION, REALITY & EDGE COMPUTING
AR, VR, and edge AI that hold up outside the demo.
Immersive technologies and edge computing built for responsiveness: AR/VR experiences and real-time edge processing with the latency budget written down first.
THE PRACTICE
What the practice covers.
Six workstreams from the headset to the network edge, built for the industrial floor as much as the showroom.
Edge AI & industrial edge
Edge AI deployed for autonomous, real-time operations, with intelligent decisions made at the network edge.
Augmented & virtual reality
Immersive AR and VR experiences with customer engagement and conversion measured against your baseline.
Mixed reality & advanced AR
Physical and digital blended into interactive environments that people actually use, not tech demos.
Real-time computer vision
Instant visual processing on edge infrastructure for high-reliability, time-critical tasks.
Edge computing & edge-to-cloud
Robust edge deployments with reliable edge-to-cloud integration for low-latency industrial applications.
Predictive edge modeling
Real-time forecasting and analytics at the edge, synchronized with the cloud where it belongs.
WHERE THIS SITS // CWR90
This is Walk work: days 31-60 of the 90. The build phase, where the agent takes shape inside your systems.
WHY HYSCALER
Judged on a number you choose.
Immersive tech earns its keep the same way everything else does: measurably.
Baselined before build
The business case is written around a metric you pick: sales conversion, training time, or inspection accuracy.
BASELINED FIRST
Real-time at the edge
Data handled at the network edge for reduced latency and instant, reliable insights.
LOW LATENCY
Immersive across formats
Augmented, virtual, and mixed reality treated as one practice, chosen per use case rather than per fashion.
AR // VR // MR
Built for the floor
Industrial-grade reliability requirements are the default, not an upgrade.
INDUSTRIAL-GRADE
FAQ // QUESTIONS
Frequently asked questions
What is the difference between augmented reality technology and virtual reality solutions?
AR (augmented reality) enhances the real world by overlaying digital elements like 3D objects or text onto your surroundings. VR (Virtual Reality) immerses users in a fully digital environment, shutting out the physical world for experiences like simulations or virtual tours.
How do edge computing services improve VR applications and augmented reality technology?
Edge computing reduces latency by handling data close to the user instead of sending everything to the cloud. This ensures smoother visuals, faster responses, and more reliable AR/VR experiences, which is crucial for real-time applications like gaming, training, or remote assistance.
What are edge AI solutions, and how do they work with your edge computing platform?
Edge AI solutions run machine learning models directly on edge devices such as cameras, sensors, or mobile devices. They integrate with cloud systems through APIs or hybrid setups, enabling instant decisions locally while still syncing data for larger-scale analysis.
What is industrial edge computing, and how does it differ from standard edge computing services?
Standard edge computing is designed for general-purpose latency reduction. Industrial edge computing, however, is tailored for manufacturing, energy, and other heavy industries, offering rugged hardware, high reliability, and real-time processing for mission-critical operations.
How does real-time computer vision work on your edge computing platform?
Cameras capture images or video, which are processed instantly on the edge device using AI models. This allows immediate detection of defects, safety risks, or objects without waiting for cloud processing, making it ideal for automation, surveillance, and quality checks.
What ROI can I expect from augmented reality services and virtual reality solutions?
We do not quote a standard ROI figure. Before we build, we agree the number the project is judged on: sales conversion for AR product visualization, or training time and error rate for VR simulation. The business case is written down before work starts, and the same number is tracked once the experience is live, so the return is measured on your data, not our claims.
What do you need from us to start an AR, VR, or edge computing project?
A description of the environment where the system will run, whether that is a factory floor, a showroom, or a fleet of devices, plus access to the data and systems it must connect to and a stakeholder who can make decisions. We also agree the metric the project is judged on before anything is built. From there, engagements run weeks to months depending on scope.
Who owns the models, code, and edge infrastructure after delivery?
You do. Computer vision models, application code, and device configurations land in your repositories, and the edge and cloud infrastructure runs under your accounts. After go-live we can stay on under a support retainer to watch latency, model accuracy, and device health, or hand the runbooks to your team. Nothing in the deployment requires us to keep operating it.
How do you handle security for edge computing deployments?
Edge devices are locked down with role-based access, and communication between the edge and the cloud is encrypted, so data is protected in transit and at rest. Deployments run inside your accounts and network boundaries, and we build to the compliance requirements of your industry. Our delivery processes are ISO 9001:2015 certified and CMMI Level 5 appraised.
How is a vision, reality, or edge computing project priced?
We scope it on an engineering call first, then send a proposal priced against the hardware, environments, and integrations actually involved. Most builds run as a fixed-scope engagement, and ongoing monitoring or model maintenance runs as a retainer. We do not quote figures before that call because site conditions and hardware constraints change the work substantially.
Pick the number, then build the experience.
We write the business case around a metric you choose, then an engineer scopes the experience against it. If the tech does not pay for itself, you hear that first.
Business enquiry, routed to engineering.