AI that works in production
From custom model deployment to production RAG pipelines, we build AI systems that create real competitive advantage — not demos that impress in a boardroom and break in production.
What We Build
- Custom AI model training and deployment
- RAG (Retrieval Augmented Generation) pipelines for enterprise knowledge
- LLM integration and prompt engineering for business applications
- AI-powered analytics and business intelligence dashboards
- Real-time data pipelines and ETL/ELT architecture
- Vector databases and semantic search infrastructure
- Computer vision and document processing systems
- AI agent systems and autonomous workflows
How We Work
- Assessment First: We evaluate where AI creates genuine value vs where it's theatre. Not every problem needs a model.
- Production-Grade: Our AI systems ship with monitoring, fallback handling, cost controls, and human-in-the-loop where needed.
- Data Foundation: AI is only as good as the data. We build the pipelines, governance, and quality controls before the models.
- Responsible AI: EU AI Act compliance, GDPR-aware data handling, bias testing, and transparent decision-making built in from the start.
Industries We Serve
Our AI and data engineering expertise spans multiple verticals, with deep experience in:
- Automotive - Predictive analytics, inventory optimisation, customer behaviour modelling
- E-commerce - Recommendation engines, dynamic pricing, demand forecasting
- Venture Capital - AI readiness assessments, due diligence automation, portfolio analytics
Frequently Asked Questions
Do you build custom AI models or use off-the-shelf? +
Both, depending on the problem. Most business applications are best served by fine-tuned foundation models or RAG architectures. We build custom models only when off-the-shelf can't deliver the accuracy or latency your use case requires.
How do you handle data privacy and compliance? +
Every engagement starts with a data governance review. We build to GDPR standards by default, implement data processing agreements, and ensure AI systems meet transparency requirements under the EU AI Act where applicable.
What's the difference between AI consulting and what you do? +
Consultants deliver recommendations. We deliver production systems. Our AI engineers build, deploy, and monitor models in your infrastructure — not in a slide deck.
Got an AI use case?
Tell us the problem and we'll tell you if AI is the right solution — and how we'd build it.
Get In Touch