Quality and defect inspection
Detection and classification tuned to your defect taxonomy, with reject thresholds set by operations, not by us.
All services
Build & Engineering
Computer Vision & Multimodal
Systems that see what your teams cannot watch continuously.
- 8–12 wks
- Pilot to production line
- <100ms
- Edge inference budget
- Held-out
- Accuracy proven before rollout
The problem we solve
Vision projects fail on operating conditions, not architecture: lighting, occlusion, camera drift and unlabelled edge cases. We design for the site as it is, prove accuracy against a held-out set, and deploy where the latency and bandwidth budget allows.
What the work includes
Safety and site monitoring
PPE, exclusion zone and incident detection with privacy-preserving processing and retention rules.
Document and form vision
Layout-aware extraction from scans, handwriting and mixed-quality captures with confidence-based routing.
Multimodal assistants
Image, video and text combined so field teams can ask questions about what they are looking at.
Edge deployment
Quantised models on industrial hardware with offline operation, OTA updates and drift alerts.
How the engagement runs
A sequence you can plan a quarter around.
- 01
Assess
Site survey, capture conditions, defect taxonomy and dataset gap analysis.
- 02
Prove
Model training and blind accuracy testing against operations-agreed thresholds.
- 03
Deploy
Hardware integration, operator training and phased line rollout.
Common questions
Before you commit.
- We have no labelled data. Is that fatal?
- No. We plan annotation as part of the work and use pretrained and synthetic approaches to shorten it.
- Does footage leave our site?
- Only if you want it to. Edge-only processing with metadata-only egress is a supported pattern.
Related practices
AI App Development
Production-grade AI-native web, mobile and embedded applications with offline sync, enterprise SSO and real observability.
ViewAI Agents & Process Automation
Agentic workflows wired into ERP, CRM, ticketing and document systems, with human checkpoints where risk demands them.
ViewGenerative AI & RAG Engineering
Retrieval architecture, fine-tuning, evaluation harnesses and inference cost tuning built for production traffic, not demos.
ViewTalk through computer vision & multimodal.
A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.