Intelligent Software, Built with Purpose

Categorisation, Search, and Recommendation Engines

When businesses deal with large volumes of user-generated content, AI becomes essential to make sense of the noise. We’ve built systems that automatically classify, cluster, and interpret data to drive smarter decision-making — with real bottom-line impact.

• Fault Data Analytics – For a field services platform, we engineered a solution that analyses thousands of incoming fault reports, intelligently categorising them into actionable types, surfacing trends, and generating real-time visualisations. The result? Faster resolution times and fewer support escalations.
• Smart Knowledgebase Lookup – In a customer service context, we built an LLM-powered tool that interprets incoming emails and support tickets, searches a company’s existing knowledge base, and presents suggested answers to the user — reducing tickets that need human intervention by over 80%.

We combine LLMs, natural language processing, and vector search to create systems that feel intuitive to users while reducing operational complexity.

Computer Vision: Seeing the Unseen

Our work in computer vision turns cameras into intelligent sensors that recognise, track, and make decisions based on visual input.

• SmartWater – A fascinating application of UV tagging and recognition. We trained a neural network to recognise specific spray patterns of SmartWater (a forensic liquid). Field agents can later use mobile apps to validate whether a spray pattern on a surface matches an authorised application — enabling law enforcement and security teams to verify authenticity in real-time.
• M&S Equipment Recognition – Built a visual identification tool for Marks & Spencer that allows employees to scan equipment parts using a mobile camera. The system then identifies the part and links it to a reordering workflow through an eCommerce backend — speeding up maintenance and minimising equipment downtime.

Our computer vision solutions are built using custom-trained models, edge-device optimisation (where needed), and seamless integration into existing operational workflows.

Intelligent Translation for Global Teams

For multilingual platforms, traditional translation APIs often fall short — especially when dealing with policy documents, dynamic content, or niche industry terms. That’s where LLM-based translation offers a step change in quality and context-awareness.

• In the HOPS / Two Knights application, we used an LLM to dynamically translate worker-facing content — including legal policies, shift descriptions, and operational messages — so that non-native English speakers can fully understand their responsibilities and rights.
• This not only improves clarity but also boosts compliance, trust, and user satisfaction across diverse workforces

Anomaly Detection & Exception Recognition

AI is uniquely suited to identifying what doesn’t belong — whether that’s a security threat, a data entry error, or a suspicious transaction.

• We build LLM-driven tools that scan structured datasets and identify outliers or exceptions to normal patterns. This is incredibly powerful for early detection of fraud, uncovering operational issues, or highlighting unexpected trends.
• For example, in a logistics platform, we trained a model to flag routes or delivery behaviors that deviated from historical norms — prompting reviews before problems escalated.

These systems help businesses stay proactive, not reactive — turning data into a real-time early warning system.