Build smarter systems with artificial intelligence

We design and deploy AI models that solve real operational problems: reducing manual data entry, catching anomalies before they escalate, and giving your team answers in seconds instead of hours.

120+
Projects delivered
97%
Client retention
8yr
Average team experience
AI Wisdom Base team working on neural network visualizations
Machine learning engineer reviewing model metrics

Applied AI, not theoretical demos

Founded in Scotland, AI Wisdom Base grew out of frustration with AI vendors who deliver impressive slide decks but fragile prototypes. Our founding team spent years inside logistics, healthcare, and financial services companies before starting this practice. That background means we understand the messy reality of production data: missing fields, shifting schemas, and legacy systems that refuse to talk to each other.

Every engagement starts with a two-week data audit. We map your existing pipelines, identify where predictive models can create measurable savings, and give you a costed roadmap before a single line of training code is written. No surprises. No scope creep disguised as "iterative discovery."

ISO 27001 compliant infrastructure
On-premise or cloud deployment
Full model explainability reports
12-month post-launch support

AI services built around your data

Each service follows a fixed-scope delivery model. You know the timeline, the cost, and the acceptance criteria before work begins.

Predictive analytics

We build regression and classification models that forecast demand, churn risk, or equipment failure. A typical project for a mid-size retailer runs six weeks from kickoff to production API, trained on 18 to 36 months of historical transaction data.

Natural language processing

From document classification for legal firms to sentiment tracking across customer support tickets, our NLP pipelines handle English and multilingual corpora. We fine-tune transformer models on your domain vocabulary, which typically lifts accuracy by 12 to 18 points over generic APIs.

Computer vision

Quality inspection on production lines, shelf-stock monitoring in retail, and safety-gear detection on construction sites. We deliver containerised inference services that run on edge devices or cloud GPUs depending on your latency requirements.

MLOps and model management

Models degrade. We set up automated retraining pipelines with drift detection, A/B testing gates, and rollback procedures. Our standard MLOps stack uses Kubernetes, MLflow, and Prometheus, though we adapt to whatever orchestration tools you already run.

Data engineering

Before any model can learn, data needs to be clean, joined, and versioned. We build ETL pipelines that ingest from REST APIs, SFTP drops, database replicas, and spreadsheet uploads, then land everything in a governed data lake with lineage tracking.

AI strategy workshops

A one-day or two-day session with your leadership team. We review your current data assets, identify three to five high-impact use cases, estimate ROI for each, and leave you with a prioritised backlog. Workshop output includes a written brief your board can act on immediately.

Numbers that matter to your bottom line

We track four metrics across every engagement because they directly predict whether a project creates lasting value or gathers dust.

93%

Models reach production

Industry average sits near 50%. Our fixed-scope process and early data audits eliminate projects that lack viable training data before they burn budget.

6 wk

Average time to first deploy

From signed scope to a live inference endpoint. Complex computer-vision projects may take ten weeks; simple classification models ship in four.

3.1x

Median ROI in year one

Measured by labour hours saved, error-rate reductions, and revenue uplift attributed to model predictions. We calculate this jointly with your finance team.

24/7

Monitoring and alerting

Every production model ships with a monitoring dashboard and automated Slack or email alerts when prediction confidence drops below agreed thresholds.

What our clients say

Direct quotes from project sponsors and technical leads we have worked with over the past three years.

"They built a demand-forecasting model for our warehouse network in five weeks. Stock-outs dropped 34% in the first quarter after launch, which freed up enough working capital to fund the next phase ourselves."
Fiona Gallagher avatar
Fiona Gallagher
Head of supply chain, Kelvin Logistics
"Our support team used to manually tag every incoming ticket. The NLP classifier they deployed handles 89% of tickets automatically now. Response times fell from four hours to under forty minutes."
Marcus Obi avatar
Marcus Obi
CTO, Pebble Insurance
"The strategy workshop alone was worth the fee. They identified a computer-vision use case on our production line that we had completely overlooked. That project paid for itself in eleven weeks."
Sarah Jennings avatar
Sarah Jennings
Operations director, Hartwell Manufacturing

Start a conversation about your data

Tell us what problem you want to solve. We respond to every enquiry within one business day.

Contact details

Whether you have a clear brief or just a hunch that AI could help, reach out. Initial consultations are free and last around 30 minutes.

Address

851 Ryan Mews, New Dibbertford, EB52 7YK, Scotland, United Kingdom