COMPUTER VISION

Vision systems that
run in production.

Object detection, document OCR, quality inspection, and pose estimation — production-ready computer vision deployed on your infrastructure, at the edge or in the cloud, with real-time performance.

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WHAT WE BUILD

Computer vision, end to end.

Object Detection

Detect, classify, and track objects in images and video in real time — tuned to your domain and conditions.

Document OCR & Extraction

Extract structured data from documents, forms, and receipts with layout-aware models and validation.

Quality Inspection

Automated visual inspection for defects, anomalies, and compliance on production lines and imagery.

Pose & Motion

Pose estimation and motion analysis for sports, safety, ergonomics, and human-activity recognition.

Custom Model Training

Train and fine-tune models on your labelled data when off-the-shelf models aren't enough.

Image Segmentation

Pixel-level segmentation for medical, geospatial, and industrial use cases requiring precise boundaries.

CAPABILITIES

Built for the real world.

Real-Time Inference

Optimised pipelines deliver low-latency predictions on live video and high-throughput image streams.

Edge + Cloud Deploy

Run on edge devices, on-prem GPUs, or the cloud — wherever your data and latency needs demand.

Evaluated Accuracy

We measure precision, recall, and edge-case behaviour on real data, not curated demo examples.

MLOps Pipeline

Versioned models, retraining workflows, and monitoring so performance holds up over time.

Data Pipeline

Labelling workflows, augmentation, and dataset management built into the project from the start.

Easy Integration

Clean APIs and SDKs so vision capabilities slot into your existing product and workflows.

PROCESS

From idea to launch.

Discovery & Scoping

Define goals, success metrics, data sources, and constraints. A fixed-price sprint delivers a spec and roadmap you can take anywhere.

WK 1–2

Architecture & Design

System design, evaluation strategy, and infrastructure plan — built for production scale and observability from day one.

WK 2–4

Build & Integrate

Assemble and label the dataset, train or fine-tune models, optimise for your latency target, and integrate inference into your product or pipeline.

WK 4–10

Evaluate & Harden

Benchmarking, load testing, error handling, monitoring, and cost controls before anything ships to users.

WK 10–12

Launch & Iterate

Milestone-gated go-live with monitoring and alerting, then continuous evaluation and improvement as usage grows.

WK 12+

TECHNOLOGY STACK

The stack we build on.

Detection

YOLO v10Detectron2RT-DETR

Foundation

SAMCLIPDINOv2

OCR

PaddleOCRTesseractDocTR

Frameworks

PyTorchOpenCVONNX

Tooling

RoboflowW&BLabel Studio

Serving

TritonTensorRTEdge runtimes

USE CASES

Vision across industries.

Manufacturing QA

Automated defect detection and quality control on production lines, reducing scrap and manual inspection.

Document Automation

Digitise and extract data from invoices, IDs, and forms to eliminate manual data entry.

Safety & Security

PPE detection, intrusion alerts, and safety-compliance monitoring from existing camera feeds.

Medical Imaging

Segmentation and detection assistants for radiology, pathology, and diagnostic workflows.

Retail Analytics

Shelf monitoring, footfall analysis, and checkout-free experiences powered by vision.

Sports & Fitness

Pose estimation and motion analysis for performance, form correction, and engagement.

WHY CHOOSE US

Vision that ships.

Production-First

We deliver deployed, monitored systems — not research prototypes.

Honest Metrics

We measure and report real accuracy and failure modes on your data.

Deep ML Expertise

Custom training, optimisation, and edge deployment experience across domains.

Flexible Deployment

Edge, on-prem, or cloud — architected to your latency, privacy, and cost needs.

Clean Handover

Documented pipelines and retraining workflows your team can own.

Ongoing Support

Monitoring and retraining keep accuracy high as conditions change.

FAQ

Common questions.

Yes. When off-the-shelf models aren't accurate enough, we build labelling workflows and train or fine-tune custom models on your data, tuned to your specific conditions and edge cases.

Yes. We optimise pipelines with techniques like TensorRT, ONNX, and quantisation to hit real-time latency targets on live video and high-throughput image streams.

Yes. We deploy to edge devices, on-prem GPUs, or the cloud depending on your latency, privacy, and cost requirements — your data never has to leave your environment if it can't.

We evaluate precision, recall, and edge-case behaviour on representative real-world data — not cherry-picked examples — and report honest metrics and failure modes.

It depends on the task, data availability, accuracy target, and deployment environment. We scope a fixed price after a discovery sprint that establishes feasibility and a baseline.

Yes. Vision models drift as real-world conditions change, so we offer monitoring and retraining workflows to keep accuracy high over time.

READY TO START?

Let's build it together.

Tell us what you're building. We'll scope it and give you a fixed price and timeline.