InsightCurry
Production AI & MLOps

Going live is not the finish line.

A successful AI system needs to perform reliably after launch.

We help organisations operationalise AI with production infrastructure, deployment pipelines, monitoring, evaluation, observability and cost optimisation.

Go live cycle: production infrastructure, deployment pipelines, monitoring, evaluation, observability and cost optimisation

Our Services

  • Productionization, MLOps & LLMOps

    Build CI/CD pipelines, model registries, deployment workflows, version control and rollback mechanisms for production AI.

  • Evaluation, Monitoring & Observability

    Monitor model quality, drift, latency, safety and reliability so teams know when intervention is needed.

  • Infrastructure, Scale & Efficiency

    Optimise inference infrastructure and serving strategies to support demand while managing AI unit economics.

The Production AI Flywheel

  1. Build
  2. Deploy
  3. Observe
  4. Evaluate
  5. Optimise
  6. Retrain/Improve
  7. Release

We don't just help you launch AI. We help your team run it.