Built for real conditions
We test on footage from your own cameras, in the low-light, crowded and messy conditions that break generic tools, before promising any accuracy.
Backendz builds custom computer vision systems that detect, count, measure and inspect from your cameras, in low light, dust, glare and crowds. Running on site or in the cloud, feeding live dashboards and alerts.
Or see how we engage first — four shapes, no sales call required.
No more walking the floor to count, check or inspect by hand
Stop sampling when every item needs checking
Forget finding problems hours later, on a recording
Done with vision tools that fail in your lighting and conditions
Skip handling things just to measure or weigh them
Say bye to cameras that nobody has time to watch
We test on footage from your own cameras, in the low-light, crowded and messy conditions that break generic tools, before promising any accuracy.
We design for darkness, dust, glare and blocked views from the start.
We run models where it makes sense for cost, speed, bandwidth and privacy.
We tell you what's achievable with your setup before you invest.

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: Teams with cameras already in place
Best for: Agriculture, food and manufacturing
Best for: Manufacturers with manual or sample-based QA
Best for: Product companies adding vision features
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 agree what the system must detect or measure and how accurate it needs to be.




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.
Thomas MitchellManaging Director at Ridgewell Roofing & CladdingThe 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 callComputer vision is AI that understands images and video. Trained on examples from your environment, a model can watch a camera feed and detect objects, count them, measure them or spot when something is wrong, continuously and consistently, without anyone watching a screen.
Computer vision is used to detect and count objects, inspect products for defects, measure size or weight, monitor animals or equipment and track movement. It is most valuable where people currently check things by eye or watch screens, because it works continuously and consistently.
It depends on the task. A focused detection task can start with a few hundred to a few thousand labelled images from your own environment. Harder tasks, such as fine measurement or rare defects, need more. Backendz assesses your data during the proof of concept.
Often, yes. Many systems run on existing IP cameras if the position, resolution and lighting are good enough. Backendz reviews your setup first and only recommends new cameras where they will improve accuracy.
Edge AI means the vision model runs on a device at or near the camera instead of in the cloud. It cuts bandwidth, responds faster and keeps video on site, which helps with privacy and with locations that have poor internet.
Accuracy depends on the task, the cameras and the conditions. Backendz agrees a target at the start, measures it on footage the model hasn't seen, and reports the result before deployment. Systems are recalibrated when conditions change.
A proof of concept usually takes 6 to 8 weeks, including data collection and training. A production system across several sites typically takes 3 to 6 months.