Fig 2.0Services · AI/ML & MLOps
AI/ML & MLOpsModels in production, with the plumbing that keeps them accurate.
Classical machine learning still does most of the valuable work: forecasting, scoring, matching, anomaly detection. We build the models and, more importantly, the pipelines around them: data validation, feature stores, training and deployment automation, monitoring for drift and the retraining loop. A model without MLOps is a one-time report.
Engagement models
- Model and pipeline build (8–16 weeks)
- MLOps platform set-up
- Dedicated data squad
Fig 2.1What you get
What you walk away with.
- 01
Modelling
Forecasting, classification, recommendation, matching and anomaly detection on your data.
- 02
Data pipelines
Ingestion, validation and feature engineering with lineage you can audit.
- 03
Training and deployment
Reproducible training, model registry, CI/CD for models, canary and shadow deployments.
- 04
Monitoring
Data drift, prediction drift, performance against ground truth, with alerts that mean something.
- 05
Retraining loop
Scheduled or triggered retraining with approval gates.
- 06
Platform
MLflow, Kubeflow, SageMaker, Vertex or a lean stack on Oracle Cloud, chosen for your size.
Fig 2.2Proof
Where we have done this.
- 01
Radius and pincode-based matching and dispatch running in production.
- 02
Pipelines designed so a non-engineer can see what the model saw.
Fig 2.3Stack
Tools we reach for.
Chosen per project on fit and cost, never on habit. We will tell you when something simpler will do.
- Python, PyTorch, scikit-learn, XGBoost
- Airflow or Dagster
- MLflow, feature stores
- AWS SageMaker, Vertex AI, Oracle Cloud
- dbt, Spark where warranted
Fig 2.4Questions
Asked often.
Do we need a data lake first?
Rarely. We start from the data you have and build only the plumbing the first model needs.
Can you take over an existing model?
Yes. We begin with an audit: data, training code, monitoring and ownership. Then we fix the riskiest gap first.
Fig 2.5Related products
Built with this capability.
Fig 2.6More services
Also on offer.
Have a product in mind?
Let's build it.
Tell us what you are trying to make happen. You will hear back from an engineer within one working day.