AI & Machine Learning
Turn your data into predictions, insights and smarter products.
Custom machine learning models and AI features, from forecasting and recommendations to computer vision and LLM-powered apps, built on your data and shipped into production.
Who it's for
- Businesses sitting on data they do not use
- Products that need recommendations or personalisation
- Operations that rely on forecasts and guesswork
- Teams wanting their own AI assistant on company knowledge
- Businesses sitting on data they do not use
- Products that need recommendations or personalisation
- Operations that rely on forecasts and guesswork
- Teams wanting their own AI assistant on company knowledge
Problems we solve
Sound familiar?
Custom machine learning models and AI features, from forecasting and recommendations to computer vision and LLM-powered apps, built on your data and shipped into production.
- 01
Decisions on gut feeling
Forecasting models predict demand, sales and churn from your historical data.
- 02
Generic customer experience
Recommendation engines personalise products, content and offers for each user.
- 03
Manual checking of images and documents
Computer vision and document AI read, classify and flag items automatically.
- 04
Knowledge locked in files
LLM apps with retrieval (RAG) answer questions from your own documents, securely.
What you get
Everything included in your ai & machine learning project.
A proof of concept usually takes 3–6 weeks; production models follow in phased releases.
- Data audit and feasibility study
- Data cleaning and pipelines
- Model training and evaluation
- LLM apps with retrieval (RAG)
- Computer vision and OCR
- APIs to use models in your apps
- Dashboards to monitor accuracy
- Retraining and MLOps setup
How it works
A clear path from idea to launch.
- 01
Discover
Free call, goals and scope
- 02
Design
Flows and UI you approve
- 03
Build
Weekly demos on staging
- 04
Launch
Testing, SEO and go-live
- 05
Support
Updates and growth
- Python ✦
- PyTorch ✦
- TensorFlow ✦
- scikit-learn ✦
- OpenAI ✦
- Claude ✦
- LangChain ✦
- AWS SageMaker ✦
- Python ✦
- PyTorch ✦
- TensorFlow ✦
- scikit-learn ✦
- OpenAI ✦
- Claude ✦
- LangChain ✦
- AWS SageMaker ✦
FAQ
AI & Machine Learning questions, answered.
Do we need a lot of data?+
It depends on the problem. We start with a data audit and tell you honestly whether your data is enough, or whether an existing model plus your documents will do the job.
What is the difference from AI & Workflow Automation?+
Automation connects your tools and uses ready-made AI to save time. Machine learning builds or adapts models on your own data to predict, recommend or recognise things.
Is our data kept private?+
Yes. Data stays in your cloud or ours under agreement, models can run privately, and we never use your data to train anything for other clients.
AI & Machine Learning for
AI & ML CompaniesOften paired with
AI & Workflow Automation
AI agents, chatbots and automated workflows that answer customers instantly, process documents and move data between your tools while your team focuses on real work.
Learn more →Custom Software Development
Web applications, SaaS products, customer portals and internal tools, engineered to scale, secured by default and fully owned by you.
Learn more →Cybersecurity
Security audits, vulnerability testing, secure code reviews and server hardening for your websites, apps and cloud, with clear fixes and follow-up checks.
Learn more →
Let's plan your ai & machine learning project.
Free 30-minute call. Leave with a scope, timeline and fixed quote.
Start your project
Tell us what you want to build.
Share a few details and we'll reply within one business day with next steps and a free consultation.
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