Models that hold up in production, not just in a notebook.
We design, train and deploy machine learning systems that carry real operational load. That means data pipelines you can trust, models you can retrain, and monitoring that tells you when reality has drifted away from your training set.
Strategy & feasibility
- AI opportunity assessment against actual operational cost
- Feasibility and build-versus-buy review
- Data readiness audit — volume, labelling, lineage, gaps
- Success metrics defined before the model is built
- Proof of value on your own data, not a public dataset
- Delivery roadmap and team shape
Data engineering
- Ingestion, cleaning and normalisation pipelines
- Labelling workflows and annotation tooling
- Feature engineering and feature stores
- Synthetic data generation where real data is thin
- Data quality monitoring and validation
- Lineage and reproducibility of every training run
Modelling
- Custom model design, training and tuning
- Predictive analytics and demand forecasting
- Recommendation and ranking engines
- Anomaly and outlier detection
- Classification, regression and clustering
- Time-series and survival modelling
- Fine-tuning of foundation models on your domain
Evaluation & assurance
- Offline evaluation harnesses and held-out benchmarks
- Error analysis by segment, not just headline accuracy
- Bias and fairness testing
- Explainability for decisions that need to be justified
- Human-in-the-loop review paths
- Acceptance criteria agreed before release
Deployment
- Batch, real-time and streaming inference
- Model serving, containerisation and autoscaling
- Edge and on-device deployment
- Self-hosted and in-region deployment for residency rules
- Shadow deployment and staged rollout
- A/B and champion-challenger testing in production
Operate & retrain
- Drift detection on inputs and predictions
- Performance monitoring against live outcomes
- Automated and scheduled retraining
- Model registry, versioning and rollback
- Cost and latency optimisation
- Incident response when a model degrades