Built for real sites
We set up GPU devices on site that process live camera feeds locally and connect securely to cloud dashboards, so video stays on site and alerts stay fast.
Some AI can't wait for the cloud. Backendz designs and runs the GPU servers, on-site edge devices and secure camera networks that let AI process video and data locally, fast, privately and without a huge cloud bill.
Or see how we engage first — four shapes, no sales call required.
No more streaming every camera to the cloud and paying for the bandwidth
Stop waiting seconds for an alert that needed to arrive now
Forget AI that stops the moment the site's internet drops
Done with GPU boxes that need someone on site to restart them
Skip sending sensitive footage off site when it doesn't need to leave
Say bye to a cloud GPU bill that grows with every camera you add
We set up GPU devices on site that process live camera feeds locally and connect securely to cloud dashboards, so video stays on site and alerts stay fast.
Years of work with NVRs, RTSP streams, encryption and camera networks mean video ingest is solved, not a risk.
Headless servers, zero-trust networking, monitoring and auto-updates, so nobody has to drive to site.
We split workloads by latency, bandwidth, privacy and cost.

Most enquiries land in one of these. If yours does not, say so on the call — we would rather shape the engagement than sell you the nearest shape we have.
Best for: sites, warehouses and facilities adding AI to existing cameras
Best for: regulated or data-sensitive businesses
Best for: multi-site operators and AI product companies
Best for: teams already running AI on site without proper management
Every card is a build we shipped and still support. Open one for the decisions behind it.
What falls inside this service. Nothing here is an upsell discovered later.
The sequence matters more than the label. Skipping the first one is how projects in this area go wrong.
We review cameras, recorders, network, power and what the AI needs to do on site.




Operations directors, CTOs and plant managers — the ones still using the system a year after the invoice cleared.
Freight operator · 14 depots
Freight operator · 14 depotsWe wanted answers our team could check against the original document. Having the relevant clause beside the response makes the assistant useful when reviewing policies and contracts.
Our rental journey had to work for both vehicle owners and travellers. Backendz brought listings, availability and bookings together into a platform that feels straightforward to use.
A single headcount does not tell us where congestion is developing. The zone-based view gives our team a clearer picture of how people are moving and where attention may be needed.
Tender preparation involves gathering evidence and getting the right people to review each section. Backendz brought those steps into one workspace, with drafts our team can check and approve.
Our estimating process needed to reflect how we actually price work. Backendz took time to understand the inputs and rules, then built a quoting journey our team could review and refine.
The team took time to understand how our staff work between appointments. The resulting system brings scheduling and client information together without making the day more complicated.
We could review working features throughout the build and give specific feedback. That made it easier to keep the product focused on the people using it.
Our field team needed access to job details away from the office. The mobile workflow keeps the relevant information close at hand and gives the office a clearer view of progress.
We wanted a client portal that reflected how we deliver our services. Backendz brought documents, requests and progress updates into a straightforward experience for clients and staff.
Our teams were entering the same information into several tools. Backendz mapped the process with us and built a more connected workflow with clear review points.
We needed scheduling, availability and shift changes in one place. Backendz shaped the system around the way our operations team works and stayed involved after launch to help us refine it.
Ask for references and we will put you on a call with the team that runs the system — not a case study PDF.
References available on request
We wanted a practical way to review PPE and safety-zone events using our existing cameras. The team focused on the situations our site managers need to investigate and made the footage easier to review.
The priority was a counting workflow our warehouse team could use during a normal shift. Backendz connected image-based counts with the records we already use and made discrepancies easier to review.
Our information was spread across several operational systems. Backendz designed a clearer way to ask questions, inspect the supporting evidence and keep approval with our team before an action is taken.
The reconciliation workflow gives our finance team one place to review mismatches and supporting records. We can trace an exception back to its source and decide what needs attention.
We had outgrown the spreadsheets that held our pricing rules. Backendz helped turn that knowledge into a quoting tool we can maintain and explain to new colleagues.
Connecting our sales and inventory systems was the priority. The integration gives our team a clearer view of updates and a practical way to investigate records that need review.
The cloud work started with understanding our existing systems and dependencies. The team documented the setup and gave us a clearer basis for monitoring and ongoing maintenance.
The engineers worked alongside our team and explained their decisions clearly. Code reviews and practical documentation helped us stay involved throughout delivery.
5 yrs
In production
We quote fixed and we hold it

2
Platforms run in-house
45
Services, one team

Senior engineers, not account managers

24/7 production support and monitoring
The things people ask before they commit.
Ask it on the call. We would rather answer an awkward question early than discover it in month three.
Book a callEdge AI infrastructure is the hardware, software and networking that lets AI models run close to where data is created, such as on a GPU device in a warehouse, factory or building, instead of in a distant cloud data centre. It gives faster responses, lower bandwidth costs and keeps sensitive data on site.
On-site AI avoids streaming large volumes of video to the cloud, responds in real time, keeps working during internet outages and keeps sensitive footage local. Cloud AI suits workloads that are occasional, need huge scale or don't involve heavy video.
It depends on the number of cameras and the models used. Many deployments run on a compact PC with a single NVIDIA GPU; larger sites need more powerful servers. Backendz sizes the hardware from your actual camera count and workload.
Yes. Backendz builds devices as headless servers connected through zero-trust networking, with remote monitoring, alerts and automatic updates, so they rarely need anyone on site.
Usually. Most IP cameras and network video recorders provide RTSP streams an edge device can process. We check camera resolution, angles and stream settings during the site survey.
Yes. Language and vision models can run on your own GPU servers or a private cloud environment, so data and prompts never pass through a public AI service. This suits regulated and data-sensitive businesses.