Most AI projects stall between proof-of-concept and production. We take yours from raw data to a live, monitored system your team can rely on, typically within eight to twelve weeks.
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Each engagement starts with a two-week audit so we only build what the data supports.
We train regression and classification models on your historical records, then deploy them as scheduled jobs or real-time endpoints. Typical use cases include churn prediction, lead scoring and inventory demand. Every model ships with a monitoring dashboard so you see accuracy drift before it matters.
From ticket classification to document summarisation, we fine-tune language models on your domain vocabulary. One logistics client reduced manual email triage from four hours a day to twenty minutes. We handle data labelling, model selection and integration with your existing CRM or helpdesk.
Repetitive back-office tasks drain your team. We connect OCR, rule engines and lightweight ML into pipelines that process invoices, onboard customers or reconcile payments without human babysitting. You approve exceptions; the system handles the rest.
Not sure where to start? We run a five-day assessment: interview stakeholders, catalogue data assets, rank opportunities by ROI and hand you a prioritised roadmap. No jargon-heavy slide decks. You get a spreadsheet with costs, timelines and expected lift for each initiative.
Quality inspection, shelf auditing, safety monitoring: if a camera captures it, a model can learn it. We train object-detection and segmentation networks, optimise them for edge devices when latency matters, and set up retraining pipelines so performance improves as you collect more images.
Four phases, clear milestones, no surprises on the invoice.
We spend two weeks inside your data. What's clean? What's missing? Where does the signal live? You get a written feasibility report.
A working model on real data, tested against a hold-out set. We demo results to your team and agree on success metrics before writing production code.
The model goes behind an API or batch job on your cloud account. We write integration tests, set up logging and configure alerting thresholds.
Drift detection, retraining triggers, monthly performance reviews. We stay involved for at least three months after launch, longer if you want.
Trusted Intelli AI is a six-person consultancy based in Northern Ireland. Three of us came from applied research labs; the other three spent a decade each in software engineering. That mix matters: we know how to train a model and how to keep it running at 3 a.m. on a bank holiday.
We work with mid-market companies, usually between fifty and five hundred employees, that have enough data to act on but not enough headcount to build an internal ML team. Retail, logistics, financial services and healthcare make up most of our client base, though we've also helped a marine engineering firm predict hull corrosion rates.
Every project uses your own cloud tenant. We never move data to our infrastructure. When the engagement ends, you own everything: code, models, documentation, deployment scripts.
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Address:
6 Shannon Paddock, Grimes-on-Flatley, Northern Ireland, VP33 5TO, United Kingdom
Phone:
+44 346 097 7269
Email:
[email protected]