When off-the-shelf AI is not enough, we build custom machine learning solutions trained on your data — classification, forecasting, recommendation, and anomaly detection with production-grade deployment.
Who this is for
- Teams with proprietary data and unique prediction needs
- Products requiring custom ranking, scoring, or forecasting
- Operations needing anomaly detection at scale
What we deliver
- Data audit, feature engineering, and model selection
- Training pipelines and experiment tracking
- API inference endpoints and batch scoring jobs
- Model monitoring, drift detection, and retraining plans
How we work
POC first with a held-out test set and clear success metrics. Production deployment includes versioning, rollback, and documentation for your data team.