Discovery and data audit
We begin by understanding your business objectives, mapping existing data assets, and identifying where AI can create the highest-impact improvements. This phase typically takes five to seven working days.
"Their predictive analytics engine reduced our forecasting errors by a third within two quarters. The integration was seamless."— Rhiannon Davies, Operations Lead, Pendine Logistics
"We needed a custom NLP pipeline for Welsh-language document processing. Ai Vision Tech delivered something no off-the-shelf tool could match."— Gareth Llewellyn, CTO, Cymru Digital Archive
"From scoping to deployment in under ten weeks. Their computer vision system now handles all our quality inspection imaging."— Priya Nair, Head of Manufacturing, Albion Precision
Intelligent AI software that transforms how your business operates
We design, build, and maintain bespoke artificial intelligence systems — from machine learning models that learn your data to computer vision pipelines that see what humans miss. Every solution ships production-ready and scales with your growth.
Operations dashboard — current delivery status
Active client deployments
23
Across healthcare, manufacturing, logistics, and fintech sectors. Each deployment includes ongoing model monitoring and retraining schedules.
Average deployment cycle
9 weeks
From initial data audit to production release. Complex multi-model systems may extend to fourteen weeks with phased rollouts.
Model accuracy benchmark
94.2%
Weighted average across all classification and regression models currently in production, measured on held-out validation sets.
Infrastructure uptime (rolling 90 days)
99.87%
Hosted on redundant cloud infrastructure with automated failover. We maintain dedicated SRE capacity for every enterprise-tier client.
Next available onboarding slot
August 2026
We cap concurrent onboardings to preserve delivery quality. Reserve your slot early to secure your preferred start date.
Capability matrix
Every engagement draws from a deep technical bench. This matrix shows what we build, how we deliver it, and which tiers include which capabilities.
| Capability | Foundation tier | Growth tier | Enterprise tier |
|---|---|---|---|
| Custom ML model development Supervised, unsupervised, and reinforcement learning models trained on your proprietary data |
✓ | ✓ | ✓ |
| Natural language processing Sentiment analysis, entity extraction, document classification, and conversational AI agents |
— | ✓ | ✓ |
| Computer vision systems Object detection, image segmentation, OCR, and real-time video analytics pipelines |
— | ✓ | ✓ |
| Data pipeline engineering ETL architecture, feature stores, data validation, and automated ingestion workflows |
✓ | ✓ | ✓ |
| MLOps and model monitoring Continuous retraining, drift detection, A/B testing, and model versioning infrastructure |
— | — | ✓ |
| Dedicated SRE support 24/7 incident response, performance tuning, and infrastructure scaling |
— | — | ✓ |
| Strategic AI advisory Quarterly roadmap reviews, ROI modelling, and emerging technology briefings |
— | — | ✓ |
Your journey from concept to production
Prototype and validation
A working proof-of-concept is built using a representative data sample. We validate model performance against agreed benchmarks before committing to full-scale development.
Production engineering
The validated model is hardened for production: API endpoints, monitoring hooks, security layers, and integration with your existing systems. Everything is containerised and infrastructure-as-code managed.
Deployment, monitoring, and evolution
After go-live, we monitor model performance continuously. Drift detection triggers automated retraining cycles, and quarterly reviews ensure the system evolves alongside your business needs. You are never locked in — we transfer full ownership of code and models on request.
Why organisations choose us over generic AI vendors
Most AI consultancies offer pre-packaged solutions and hope your problem fits their template. We take a fundamentally different approach: every model architecture, every data pipeline, and every deployment strategy is designed from scratch around your specific constraints and goals.
Our engineering team includes specialists in transformer architectures, graph neural networks, and edge-deployed inference systems. We have delivered solutions for clients processing millions of documents daily, clients running real-time defect detection on factory floors, and clients building intelligent routing systems for complex supply chains.
We are based in Wales and work with organisations across the United Kingdom and internationally. Our size — deliberately kept lean — means you work directly with the engineers who build your system, not with account managers relaying messages.
Is your organisation ready for AI?
Not every problem needs machine learning. Here is how we help you determine whether AI is the right investment for your specific situation.
You have structured data — at least six months of historical records in a queryable format. Spreadsheets count; we can engineer the pipeline.
You have a measurable outcome — whether that is reducing processing time, improving classification accuracy, or automating a manual workflow.
You have internal champions — at least one technical stakeholder who can validate requirements and participate in sprint reviews.
You can commit to iteration — AI systems improve over time. The best results come from organisations willing to invest in ongoing refinement rather than expecting a one-time magic solution.
Ready to build something intelligent?
Whether you have a clearly defined problem or just a hunch that AI could help, we will give you an honest assessment — no jargon, no pressure, no obligation.
Start the conversationFrom reactive to predictive
Traditional business intelligence tells you what happened. Our predictive models tell you what is likely to happen next — and recommend the optimal response. Clients in logistics have used this to reduce late deliveries by over a quarter.
From manual to autonomous
Document processing, quality inspection, customer routing — tasks that consume hundreds of staff hours per month can be handled by well-trained AI systems with human-in-the-loop oversight for edge cases. We design the handoff carefully so nothing falls through the cracks.
Start a project
Tell us about your challenge and we will respond within two working days with an initial assessment.
Thank you. We have received your enquiry and will be in touch shortly.
Legal information
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Data retention: Enquiry data is retained for 24 months after the last interaction. Server logs are retained for 90 days.
Last updated: January 2026.
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Services: The information on this website describes our general capabilities. Specific deliverables, timelines, and pricing are agreed in individual project contracts. Nothing on this site constitutes a binding offer.
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Client deliverables: Ownership of custom-developed models, code, and documentation is transferred to the client upon full payment, unless otherwise specified in the project agreement.
Limitation of liability: To the maximum extent permitted by law, Ai Vision Tech shall not be liable for any indirect, incidental, or consequential damages arising from the use of this website or our services.
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Last updated: January 2026.
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The content on aivisiontech.shop is provided for general informational purposes. While we strive to keep the information accurate and current, we make no warranties or representations of any kind about the completeness, accuracy, or reliability of the information.
Performance figures, deployment timelines, and accuracy benchmarks mentioned on this site reflect historical results from specific client engagements. Your results may vary depending on data quality, problem complexity, and organisational readiness.
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Any reliance you place on the information on this site is strictly at your own risk.
Last updated: January 2026.