We operationalise artificial intelligence into your products and workflows. Not proofs of concept. Not pilots that never reach production. Systems that run, scale, and improve over time.
Faster delivery
To first deployment
Agreed before we start
Our AI practice spans the full spectrum - from foundation model integration to custom ML deployment. Every capability has been deployed in enterprise environments.
Deploy GPT-4o, Claude, Gemini, and open-source models inside your products. Retrieval-Augmented Generation (RAG) connects your knowledge base to the LLM - accurate, current, and auditable.
Autonomous AI agents that plan, execute multi-step tasks, use tools, and loop on feedback. From research agents to workflow orchestrators - built for enterprise reliability and governance.
Custom predictive models built and trained on your data - not generic solutions. Classification, regression, anomaly detection, and forecasting models built with full explainability.
Document processing, quality inspection, image classification, and video analytics. Purpose-built CV models that handle your specific document formats, product types, and operating environments.
AI-enhanced robotic process automation that adapts to unstructured inputs, handles exceptions, and learns from corrections - unlike fragile rule-based RPA that breaks on every format change.
Production ML infrastructure - model monitoring, drift detection, retraining pipelines, and A/B testing frameworks. Your AI doesn’t just launch; it maintains accuracy and improves over time.
From identified opportunity to deployed, measurable AI system in 8 weeks. An ROI statement is agreed with you before we begin - so you know exactly what success looks like before spending a penny on build.
Designed for mid-market enterprises who want to move past AI exploration and into AI execution - without multi-year transformation programmes or six-figure consulting retainers.
We’re model-agnostic and vendor-neutral. We select foundation models based on your use case, data sensitivity, cost profile, and latency requirements - not on partnership agreements.
OpenAI
Complex reasoning, code generation, multimodal tasks, high-throughput applications
Production readyAnthropic
Long-context analysis, enterprise document processing, complex instruction following
Production readyMultimodal (image, video, audio), large context windows, Google Workspace integration
Production readyOpen-source
On-premise deployment, data-sensitive environments, fine-tuning for domain-specific tasks
Self-hostedOrchestration
Agent pipelines, tool use, memory management, multi-model orchestration
Production readyPinecone · Weaviate
Knowledge base search, document Q&A, contextual retrieval for enterprise content
Production readyCustom ML
Bespoke predictive models trained on your data with full explainability and audit trails
Custom buildInfrastructure
Model versioning, experiment tracking, deployment pipelines, production monitoring
Production readyEvery AI system we build includes a governance document covering explainability, bias assessment, fallback behaviour, human oversight, and data lineage. Non-negotiable.
Production AI systems include explanation layers - why a credit decision was made, why a route was chosen, why a recommendation was shown. Boards and regulators can interrogate the logic, not just the output.
We never send client data to foundation model providers without explicit consent. On-premise deployment options available for regulated data. All training data is handled under ISO 9001 and NDA protocols.
All classification and scoring models are tested for demographic bias before production deployment. Ongoing drift monitoring detects when model performance diverges from expected fairness metrics.
Every high-stakes AI decision - credit, clinical, compliance - includes a human-in-the-loop checkpoint. AI models flag confidence levels and route low-confidence decisions to human review automatically.
Built an AI-driven MVP travel platform for a U.S. startup that generates personalized itineraries, smart hotel/flight recommendations, and interactive trip planning through conversational AI.
Read case studyCreated a real-time AI-powered dashboard for a hospitality tech pioneer, enabling restaurant owners and global admins to visualize data, manage venues, and interact with an AI backend.
Read case studyDelivered a comprehensive AI transformation for a 24-year-old Middle East travel enterprise, replacing manual processes with AI-powered personalization and data-driven decision-making.
Read case studyBook a 45-minute AI assessment with our practice lead. We’ll map your top opportunities, estimate ROI, and tell you honestly what’s achievable in 8 weeks.
Happy to sign an NDA before any conversation - countersigned within 24 hours.
Talk to our AI practice lead - not a sales team. We’ll scope an AI engagement, map your data, and tell you honestly what’s achievable.