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Tier 2 · The beatFlagship capability

AI Reliability & Evaluation

Protect revenue and reputation. Golden datasets, automated evaluation and drift monitoring catch degradation and unsafe AI behaviour before customers or regulators do.

Reliability is a number. We define it with you — accuracy, groundedness, latency, cost, fairness — and track it every day the system runs, with alerts routed to named owners and playbooks for when things go wrong.

More in Reliable AI & Production Systems

AI·01

AI & ML Strategy

Invest in the AI that pays back. Use cases scored by value, feasibility and risk, with a roadmap to the ones that can reach production.

  • AI opportunity portfolio scored by value and risk
  • Build, buy or partner decisions
  • AI-readiness assessment of data and teams
  • Business cases with measurable production targets
AI·02Flagship

MLOps & Production ML Systems

Models that perform every day, not just in the demo. CI/CD for ML, feature stores, model registries and monitoring keep forecasts and risk scores accurate in production.

  • Reproducible training, feature management and model registry
  • CI/CD/CT pipelines with automated release gates
  • Scalable serving — batch, real-time and edge
  • Shadow, canary and blue-green releases with instant rollback
AI·03Flagship

LLM & GenAI Engineering

AI assistants and multi-agent systems that answer, automate and act, grounded in your governed data, measured with real evaluations and protected by guardrails.

  • Retrieval-augmented generation (RAG) on governed enterprise data
  • Agent and tool-use workflows with bounded autonomy
  • Evaluation harnesses for accuracy, grounding and safety
  • Guardrails, PII redaction, cost and latency controls