Practical AI solutions for real business problems

We build, train and deploy machine learning models that reduce costs, speed up decisions and give your team hours back every week. Based in England, working with clients across the UK and Europe.

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Data science team working on AI models in a modern office
Interacting with AI-powered data visualization

Engineers and analysts, not salespeople

We started Precision AI Pros because too many AI consultancies sell hype. A flashy pitch deck, a few buzzwords, then months of billable hours with nothing to show for it. That frustrated us.

Our team of seven includes two PhD-level machine learning researchers, three software engineers with production ML experience, and two data analysts who have spent years cleaning the messy datasets that real companies actually have. We scope every project with a fixed timeline and measurable outcomes before writing a single line of code.

Since 2021, we have delivered 40+ AI projects ranging from invoice classification systems for accounting firms to predictive maintenance pipelines for manufacturers. Each one went live, and each one still runs today.

40+
Projects delivered
97%
Client retention
7
Specialists on staff

AI services built around your workflow

Every engagement begins with your data and your goals. We pick the right technique for the job, whether that is a simple regression model or a custom large-language-model integration.

Predictive analytics

We build forecasting models that ingest your historical sales, inventory or operational data and output actionable predictions. Typical turnaround: six weeks from kickoff to a working dashboard your team can query daily.

Natural language processing

From customer support ticket routing to contract clause extraction, we train NLP models on your specific vocabulary. One legal client cut document review time by 62% within the first quarter after deployment.

Computer vision

Quality inspection on production lines, vehicle counting for transport planning, medical image analysis: we have deployed convolutional neural networks across all three. Each model is trained on your own labelled images, not generic datasets.

AI strategy consulting

Not sure where AI fits in your organisation? We run a two-day discovery workshop, audit your existing data, and deliver a prioritised roadmap with cost estimates. No commitment to build anything until you are satisfied the plan makes sense.

Custom model development

When off-the-shelf tools fall short, we design architectures from scratch. Recent examples include a recommendation engine for a niche e-commerce retailer and a time-series anomaly detector for an energy provider monitoring grid loads.

MLOps and deployment

A model sitting in a Jupyter notebook helps nobody. We containerise, version and deploy models into your cloud environment with monitoring, automated retraining triggers and alerting. We support AWS, Azure and GCP.

From first call to production in weeks

We keep things transparent. You will know exactly what is happening at each stage and why.

1

Discovery call

A 30-minute conversation where we learn about your business, your data and the outcome you want. No preparation needed on your side.

2

Data audit

We review your available datasets, assess quality and identify gaps. This takes one to two weeks and ends with a written feasibility report.

3

Build and validate

Our engineers build the model, test it against held-out data and iterate until accuracy meets the target we agreed on. You see progress demos every Friday.

4

Deploy and support

We push the model to production, train your team to use it and provide 90 days of included support. After that, optional retainer plans keep things running smoothly.

Frequently asked questions

How much does a typical project cost?

Most projects fall between £8,000 and £45,000 depending on scope. A simple classification model on clean data sits at the lower end. A multi-model pipeline with real-time inference and a custom front end sits at the upper end. We always provide a fixed quote before work begins.

Do we need a large dataset?

It depends on the task. For some NLP jobs, a few hundred labelled examples are enough when combined with transfer learning. For computer vision, we typically need at least 1,000 annotated images. During the data audit we tell you honestly whether your dataset is sufficient or whether we need to augment it.

What industries do you work with?

Retail, logistics, legal, healthcare, manufacturing and energy are the sectors where we have the most experience. That said, the techniques transfer well. If your problem involves structured or semi-structured data, we can probably help.

Will we own the model and code?

Yes. Every deliverable, including source code, trained weights and documentation, belongs to you once the final invoice is paid. We do not lock clients into proprietary platforms.

Can you integrate with our existing systems?

We regularly connect models to ERP systems, CRMs, data warehouses and custom APIs. Our engineers handle the integration work so your internal team does not have to learn a new toolchain.

Start a conversation

Tell us about your project and we will get back to you within one business day with an initial assessment.

Address

20 Ardella Vale, Jacobifield, YI1 5CU, England, United Kingdom