Data engineering & feature design
We shape raw operational data – appointments, site visits, sensor data, transactions – into feature sets that ML systems can learn from. Built with the same discipline as your reporting and migration work.
Model training & evaluation
Lead scoring, churn, anomaly detection, risk flags, or simple forecasting. We benchmark baselines and advanced models against business metrics that matter: conversion, utilisation, downtime, or leakage.
Gen AI + RAG for internal teams
Retrieval-augmented assistants for staff: doctors, sales teams, operators, or support. They search across EMR notes, SOPs, project docs, or customer history while staying grounded in your data.
MLOps & continuous improvement
CI/CD for models, monitoring for drift and data quality, and controlled rollouts. You can improve models or prompts without breaking production systems.