We build AI software that actually fits your business

Not a generic chatbot. Not a dashboard you'll never open. We design and ship AI systems around the specific problems your team faces every week, then measure whether they work.

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AI software development workspace with data dashboards
47
Projects delivered
6
Average weeks to first deploy
92%
Client retention rate
3.1×
Median ROI within 12 months

The gap between AI hype and real results

Most companies know they should use AI somewhere. Few know where to start, and even fewer get measurable value from their first attempt.

What we keep hearing

  • Off-the-shelf tools don't match our data format or workflow.
  • The last vendor spent months on a proof of concept that never went live.
  • Our team doesn't have the ML expertise to maintain a custom model.
  • We can't tell whether our AI project is actually saving money.

How we address it

  • We scope every project around a single, measurable business metric before writing any code.
  • Deployment happens in weeks, not quarters. We iterate after launch, not before.
  • Our handover includes documentation, monitoring dashboards, and training sessions for your staff.
  • Monthly performance reports show you exactly what the system saved or earned.

AI software services

Each engagement starts with your data and your constraints. Here's the range of work we take on.

Predictive analytics

We train models on your historical data to forecast demand, churn, pricing sensitivity, or equipment failure. Each model ships with confidence intervals so your team knows when to trust the prediction and when to override it.

Document intelligence

Invoices, contracts, medical records, compliance forms: we build extraction pipelines that pull structured data from unstructured documents. Accuracy targets are agreed upfront and verified on a hold-out set before go-live.

Workflow automation

We connect AI decision points into your existing tools, whether that's Salesforce, SAP, a custom ERP, or a spreadsheet. The goal is fewer manual steps between an event and the right action.

Natural language interfaces

Chatbots, internal Q&A tools, voice assistants: we fine-tune language models on your domain vocabulary so answers are specific, not generic. Response latency stays under 800 ms for real-time use cases.

From first call to live system

1

Scoping

We define the metric, the data, and the constraints in a 90-minute session.

2

Data audit

Our engineers assess quality, gaps, and privacy requirements in your datasets.

3

Build

Two-week sprints with a working demo at the end of each cycle.

4

Deploy

We handle infrastructure, security review, and integration testing.

5

Monitor

Ongoing performance tracking with monthly reports and model retraining as needed.

They replaced a manual triage process that took our ops team four hours a day. The AI classifier now handles 83% of incoming tickets without human review, and the error rate dropped.
— Head of operations, logistics company (Wales)
ISO27001 aligned
GDPRcompliant
ICOregistered
Smart AI Systems Lab office location in Wales

Frequently asked questions

How much data do we need before a project is viable?
It depends on the task. A classification model might work well with a few thousand labelled examples. A demand forecast usually needs at least two years of weekly data. During the scoping call we'll tell you honestly whether your dataset is sufficient or what we'd need to collect first.
Can you work with on-premise infrastructure?
Yes. About a third of our clients require on-premise or private-cloud deployment for regulatory reasons. We support AWS, Azure, GCP, and bare-metal Linux servers. Hosting costs are separate from our fees.
What happens if the model underperforms after launch?
Every contract includes a performance threshold agreed before development begins. If the deployed model falls below that threshold within the first 90 days, we retrain at no extra charge. After 90 days, retraining falls under our maintenance plan.
Do you offer ongoing support?
We offer quarterly and annual maintenance agreements. These cover model monitoring, drift detection, retraining, and priority bug fixes. Most clients on maintenance plans receive a same-day response for critical issues.
What are your typical project fees?
A focused proof of concept usually costs between £8,000 and £25,000. Full production systems range from £30,000 to £120,000 depending on data complexity and integration scope. We provide a fixed quote after the scoping session so there are no surprises.

Let's talk about your project

Contact details

Address:
800 Windermere Road, Klein-on-Satterfield, Wales, UR5 0NL, United Kingdom

Phone:
+44 7754 354420

Email:
[email protected]

We typically respond within one working day. If your enquiry is urgent, phone is fastest.

Map view of our location in Wales, United Kingdom