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    AI Engineering

    Custom models, intelligent agents, and AI-powered infrastructure modernisation. We build production AI systems and the platform to run them at scale.

    Models, agents, and AI that works in production

    Your data science team built something promising. But getting it to production (containerized, monitored, scalable, reliable) is a completely different problem. And now you need AI agents, not just models. That's where we come in.

    We build custom ML models, autonomous AI agents, and AI-driven infrastructure modernisation systems. From fraud detection and recommendation engines to intelligent agents that automate workflows and customer interactions. We handle the full lifecycle: development, deployment, and ongoing operations.

    We also use AI to modernise your existing infrastructure: intelligent capacity planning, anomaly detection, predictive auto-scaling, and automated cost optimisation. Your infrastructure gets smarter, not just bigger.

    What We Build

    Custom Model Development

    ML models tailored to your business: fraud detection, demand forecasting, recommendation engines, NLP pipelines, and more. From data exploration to a trained, validated model ready for deployment.

    Custom AI Agent Development

    Autonomous agents for customer support, data analysis, workflow automation, and internal tools. We build the full stack: RAG pipelines, tool integration, memory systems, and multi-agent coordination.

    AI-Powered Infrastructure Modernisation

    Use AI to modernise your infrastructure. Intelligent capacity planning, anomaly detection, automated incident response, predictive scaling, and cost optimisation driven by real usage patterns.

    Experiment Tracking & Versioning

    Every experiment tracked, every model versioned. We set up MLflow or Weights & Biases so your team can compare runs, reproduce results, and never lose track of what worked.

    Automated Retraining Pipelines

    Models drift. We build pipelines that detect performance degradation, trigger retraining on fresh data, validate the new model, and promote it to production automatically.

    Performance Monitoring & Alerting

    Real-time dashboards tracking prediction accuracy, agent behavior, latency, throughput, and data drift. Alerts when something matters, not when something logs.

    What You Get

    • Production-ready ML models with documented performance benchmarks
    • Custom AI agents with tool integration and guardrails
    • AI-driven infrastructure optimisation and modernisation roadmap
    • Containerized inference services with auto-scaling
    • A/B testing framework for safe model and agent rollouts
    • Monitoring dashboards with drift detection and agent analytics
    • Automated retraining pipelines triggered by data or schedule
    • Documentation your team can use to maintain and extend the system

    Need help getting models and agents into production faster?

    Explore MLOps & LLMOps