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Practical AI that fits your business

We build, train and deploy machine-learning models that solve real problems: forecasting demand, reading documents, spotting anomalies and answering customer questions around the clock.

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AI engineering team collaborating on neural network visualisations
Data scientist working with AI analytics

Who we are

Forward AI Concepts started in 2021 with a single goal: make artificial intelligence accessible to mid-size companies that lack a dedicated data-science team. We are a group of machine-learning engineers, data analysts and product designers based in Northern Ireland.

Most agencies sell AI as a black box. We do the opposite. Every model we deliver comes with clear documentation, a plain-language explanation of how it reaches its conclusions, and a monitoring dashboard you can check yourself. If the model drifts, you know before your customers do.

Our clients range from logistics firms optimising delivery routes to healthcare providers automating patient-intake forms. The common thread is a measurable result within 90 days of project kick-off.

120+
Models deployed
97%
Client retention

What we do

Each engagement starts with a discovery call, followed by a written scope document you approve before any code is written.

Custom model development

We design supervised and unsupervised models from scratch using your historical data. Typical turnaround for a first working prototype is four to six weeks, depending on data quality. We handle everything from feature engineering to hyperparameter tuning.

Natural language processing

Chatbots, document classifiers, sentiment trackers, summarisation pipelines. We fine-tune large language models on your domain-specific vocabulary so the system understands your jargon, not just generic English. Response accuracy typically exceeds 92% after the second training cycle.

Predictive analytics

Sales forecasting, churn prediction, inventory planning. We connect to your existing databases, build time-series or regression models, and deliver predictions through a live dashboard or an API endpoint your developers can call directly.

Computer vision

Quality inspection on production lines, document OCR, medical image analysis. We train convolutional and transformer-based vision models, then package them into lightweight containers that run on edge hardware or cloud GPUs, depending on your latency requirements.

AI strategy consulting

Not sure where AI fits in your operations? We run a two-day audit: interview your team, map your data flows, and produce a prioritised roadmap with cost estimates. Many clients discover their biggest opportunity is not the one they expected.

Model monitoring and retraining

Models degrade over time as your data changes. We set up automated drift detection, alerting and scheduled retraining pipelines so your accuracy stays above the threshold you define. Monthly reports show exactly how the model is performing and where it needs attention.

How we work

A transparent, four-stage process keeps you informed at every step.

Discovery

We listen to your problem, review your data sources and define success metrics together. This stage usually takes one week.

Prototyping

Our engineers build a minimum viable model and test it against a holdout dataset. You see initial results within four weeks.

Deployment

The validated model goes into production via API, embedded widget, or batch pipeline. We handle infrastructure, security and scaling.

Ongoing support

Monthly performance reviews, retraining cycles and priority bug fixes keep the system reliable long after launch.

What our clients say

Real feedback from teams we have worked with over the past three years.

"They built a demand-forecasting model that cut our overstock by 23% in the first quarter. The dashboard is straightforward and my operations manager checks it every morning."

Sarah M., logistics director
Sarah M.
Logistics director, Belfast

"Our customer-service chatbot now resolves 68% of queries without a human agent. The team at Forward AI Concepts trained it on three years of our support tickets, and the difference was noticeable within days."

James T., e-commerce founder
James T.
E-commerce founder, Dublin

"The strategy audit alone was worth the investment. They identified two quick wins we implemented in-house and a larger project we contracted them for. Honest, no-nonsense advice."

Claire D., operations manager
Claire D.
Operations manager, Manchester

Frequently asked questions

Quick answers to the things people ask us most often.

How much does a typical project cost?
Most engagements fall between £8,000 and £50,000 depending on complexity, data volume and whether the model needs real-time inference. We provide a fixed-price quote after the discovery stage, so there are no surprises.
Do I need to have clean data before we start?
No. Data cleaning and preparation are part of our standard workflow. We will assess the state of your data during discovery and include any necessary preprocessing in the project plan. Roughly 40% of our effort on a typical project goes into data wrangling.
Can you work with our existing tech stack?
Yes. We have deployed models into environments running AWS, Azure, GCP, on-premise servers and hybrid setups. We also integrate with common platforms like Salesforce, Shopify and SAP through REST APIs or native connectors.
How do you handle data privacy and GDPR?
All data processing happens within your approved infrastructure unless you explicitly authorise otherwise. We sign a data processing agreement before any data transfer, anonymise personal identifiers during model training, and delete raw data once the project concludes.
What happens after the model is deployed?
We offer monthly support plans that include drift monitoring, retraining and priority bug fixes. You can also choose a one-off handover where we train your internal team to maintain the model independently.

Get in touch

Tell us about your project and we will reply within one business day.

Contact details

54 Ricardo Mount, Gottlieb-le-Conn, AA68 5GQ, Northern Ireland, United Kingdom

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