VLMs redefine inspection — vision and language, perfectly aligned.
Real-time Quality Monitoring
Watch AI-powered inspection systems analyzing products in real-time
AI scan via phone camera & lidar
AI check via inline scanner
AI detects issues via CCTV
Delivery Framework
We guide your teams from ambition to measurable improvements with a structured delivery model that pairs technical capability with operational change management.
Translate strategic quality goals into measurable inspection criteria.
We facilitate workshops with engineering, operations, and compliance teams to capture tolerances, failure modes, and regulatory obligations before any configuration begins.
Expose the realities of your production environment and data estate.
Our experts audit camera placement, network readiness, sample data, and existing KPIs to ensure the AI has the context it needs to perform reliably on the factory floor.
Align the most effective model architecture with every use case.
We evaluate our library of specialised visual models for accuracy, latency, and hardware fit so your teams deploy the right intelligence from day one.
Adapt inspection intelligence to your products and tolerances.
Human-in-the-loop training, curated defect libraries, and robust validation routines deliver confidence before production rollout.
Integrate seamlessly with devices, workflows, and governance.
We coordinate deployment across admin dashboards, CCTV, mobile, and inline stations with clear handover plans and maintenance playbooks.
Establish sustained performance and continuous improvement.
Runbooks, alerting cadences, and post-launch coaching ensure adoption, measure ROI, and surface opportunities for further automation.
Forward Operating Model
Precision quality is no longer the domain of manual checks. Our platform blends disciplined data practices, AI-enabled insights, and actionable dashboards that keep teams aligned on outcomes.
Deploy GPU-optimised vision pipelines that interpret surfaces, dimensions, and context in milliseconds.
Edge-first processing keeps production secure while delivering the fidelity needed to differentiate critical defects from acceptable variance.
Guide operators with natural-language prompts that capture intent without technical friction.
Supervisors brief the system in plain language, while versioned prompts and audit trails maintain traceability for regulated environments.
Scale inspection to match production rhythms without sacrificing accuracy or latency.
Dynamic workloads distribute processing, balance compute resources, and ensure SLA commitments during peak demand windows.
Synchronise alerts, insights, and approvals across ERP, MES, and frontline collaboration tools.
Standardised APIs and secure connectors create closed-loop governance from detection to resolution and continuous improvement.
Experience the future of quality control with our personalized AI inspection demo
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