Service · Vision & Edge AI

Computer Vision & IoT

Eyes on the things your team can't watch manually.

Edge intelligence for the physical world. We deploy vision models and IoT sensor networks for retail, agriculture, logistics and manufacturing — detecting patterns, flagging anomalies and automating monitoring that currently depends on manual spot-checks. Hardware costs have dropped dramatically; the ROI case for edge AI has never been stronger.

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Edge

Works without the cloud

<50ms

Detection latency

Works

In low-bandwidth environments

Real-time

Alert delivery

What we deliver

Everything you need, nothing you don't.

Vision model development

Custom detection, classification and segmentation models trained on your specific objects, environments and quality thresholds — not general-purpose models tuned for demos.

Edge deployment

Models optimised for your edge hardware — NVIDIA Jetson, Raspberry Pi, industrial cameras and low-power IoT devices. Runs reliably without a stable internet connection.

IoT sensor integration

Temperature, pressure, weight, motion, humidity and environmental sensors — integrated with your vision layer to create a complete picture of what's happening at any site.

Alert & escalation system

Automated alerts via SMS, WhatsApp or operations dashboards when thresholds are crossed — quality defects, security events, crop stress signals, equipment anomalies.

Operations dashboard

Live feeds, historical trend analysis and incident reports. Your operations team sees what the models see — with confidence scores, not raw predictions.

Model retraining pipeline

As your environments change — new products, new seasons, new failure modes — we maintain a retraining pipeline so model accuracy doesn't degrade over time.

How it works

A clear process. No surprises.

We run every engagement against a repeatable framework — so you always know what's happening and why.

Site survey & scoping

We visit the deployment site, assess lighting, camera positioning, connectivity and environmental conditions — the factors that determine whether a vision model will actually work.

Data collection & labelling

We collect training images from your actual environment under real conditions — not stock photos. Labelling is done to the precision your detection task requires.

Model training & edge optimisation

Train, evaluate and optimise for your edge hardware. We test accuracy on your holdout data and tune the confidence thresholds to minimise both false positives and misses.

Deploy & monitor

Full deployment with live monitoring. We track detection accuracy over time and flag when model performance starts to drift — before your operations team notices.

Built for

Common use cases.

Retail footfall & shelf monitoringCrop health & disease detectionQuality control & defect detectionSecurity & perimeter monitoringCold chain & asset trackingManufacturing line monitoring

Every situation is different. A free audit maps your exact starting point — no templates, no guesswork.

Next step

Let's map your exact opportunity.

The audit is free and takes 45 minutes. You'll leave with a prioritised shortlist of AI opportunities, a risk map and a concrete next step — whether you work with us or not.

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