"We asked them to reduce our invoice processing time. They built a model that cut it from fourteen minutes per document to under two. The savings paid for the whole project in eleven weeks." Finance director, packaging manufacturer, Newport
"Our team was sceptical about machine learning. The Trustworthy AI Vibes crew ran a three-day pilot with real data, and the results spoke for themselves. Prediction accuracy jumped to 91% on delivery estimates." Operations lead, logistics firm, Cardiff
Find us in Hilpert-Lebsack-under-Emard
Our office sits at 247 Sonya End, Hilpert-Lebsack-under-Emard, Wales, ZU2 3JY. We work on-site with clients across South and Mid Wales, and remotely with businesses elsewhere in the UK. If you can reach us by train, we can probably reach you by car.
Phone: +44 23 8240 2215 · Email: [email protected]
Is AI the right move for your business?
AI is not magic. It works best when there is a clear, repetitive task and enough data to learn from. A bakery with three product lines probably does not need a neural network. A manufacturer shipping 400 SKUs across six warehouses almost certainly does.
We start every engagement with a fit assessment. It takes about ninety minutes. We look at your existing data, your team's technical comfort, and the specific bottleneck you want to fix. Sometimes the answer is "you don't need AI, you need a better spreadsheet." We will tell you that honestly, because selling you a model you cannot maintain helps nobody.
If the fit is there, we scope a pilot. Pilots run for two to six weeks depending on complexity. You see measurable results before committing to a full build. No twelve-month contracts signed on day one.
What we build
Document intelligence
Extract data from invoices, contracts, delivery notes and compliance forms. Our OCR and NLP pipelines handle messy scans, handwritten fields, and inconsistent layouts. Average extraction accuracy: 94% on real client documents.
Demand forecasting
Time-series models trained on your sales history, seasonality, and external factors like weather or local events. One food distributor reduced waste by 22% in the first quarter after deployment.
Conversational assistants
Customer-facing chatbots and internal knowledge assistants. We fine-tune language models on your product catalogue, policies, and FAQs so answers are specific, not generic. Deployed on your website or internal tools.
Visual inspection
Computer vision for quality control on production lines. Detect defects, measure dimensions, classify items. We have deployed camera-based systems in food processing, textiles, and small-batch manufacturing.
Data pipeline design
Before a model can learn, your data needs to flow. We build ETL pipelines, clean historical datasets, and set up monitoring so your AI stays accurate as conditions change. No model survives dirty data.
Model maintenance
AI models drift. Customer behaviour shifts. New products arrive. We offer ongoing monitoring and retraining packages so your system does not quietly degrade. Monthly performance reports included.
How an engagement unfolds
Fit call
A 90-minute session at your premises or over video. We map the problem, review available data, and assess whether AI is the right tool. You walk away with a written recommendation either way.
Pilot scope
If the fit is confirmed, we define a narrow pilot: one problem, one dataset, one measurable outcome. We agree on success criteria before writing a single line of code.
Build and test
Our engineers build the model, test it against your data, and iterate with your team. You have access to a dashboard showing accuracy, speed, and edge cases throughout.
Deploy
The model goes live in your environment. We handle integration with your existing software, train your staff, and monitor performance for the first thirty days at no extra cost.
Maintain or hand off
You choose: we maintain and retrain the model on an ongoing basis, or we hand over full documentation and your internal team takes ownership. Both paths work. We have clients on each.
Why local matters for AI
Most AI consultancies operate remotely from London or overseas. That works for some projects. But when your factory floor has specific lighting conditions that affect a vision model, or when your team needs hands-on training with a new tool, there is no substitute for someone who can drive over on a Tuesday morning.
We have spent time in Welsh manufacturing plants, agricultural co-ops, NHS-adjacent health services, and high-street retail chains. Each environment taught us something that a remote-only team would miss. The humidity in a cold-storage warehouse changes how sensors behave. The accent and dialect in customer service calls affects speech-to-text accuracy. These details matter.
Being based in Hilpert-Lebsack-under-Emard means we are close enough to respond quickly and embedded enough in the local economy to care about long-term outcomes, not just project sign-off.
Quick readiness check
Tick the statements that apply to your situation. If three or more are true, a fit call is likely worth your time.
Common questions
Pilots typically range from £4,000 to £15,000 depending on data complexity and the type of model. We quote a fixed price after the fit call so there are no surprises. If the pilot does not meet the agreed success criteria, we refund half the fee.
No. We build models that your existing staff can use through simple interfaces, dashboards, or integrations with tools you already have. If you later want to bring AI skills in-house, we can help recruit and train, but it is not a prerequisite.
Your data stays yours. We process it under a data processing agreement that complies with UK GDPR. During the pilot, data is stored on encrypted UK-based servers. After project completion, we delete all copies unless you instruct us otherwise in writing.
Yes, and we prefer it. Your IT team knows your infrastructure best. We collaborate on deployment, security requirements, and ongoing maintenance handover. We have worked alongside managed service providers, in-house teams, and freelance developers.
Start a conversation
Tell us what you are trying to solve. We will reply within one working day.