Data & Feature Foundation
(Weeks 1-2)
A systematic process to develop hundreds of predictive features from traditional and alternative data sources, creating the rich signal needed for modern modelling.
Playbook for Shipping Challenger Models to Production
Machine Learning & MLOps
Our 8-week framework gets high-performing, compliant models into production quickly and safely — from feature engineering to continuous monitoring.
Playbook for Shipping Challenger Models to Production
Our 8-week framework is designed to get high-performing, compliant models into production quickly and safely.
Rigorous Model Development & Validation
(Weeks 3-4)
We train multiple algorithms (from logistic regression for baseline explainability to XGBoost for performance) and conduct rigorous statistical, business, and regulatory validation.
Compliant Deployment & A/B Testing
(Weeks 5-6)
We deploy models as containerised APIs within a robust champion/challenger framework that allows for live A/B testing to prove performance uplift before a full rollout.
Continuous Monitoring & Governance
(Weeks 7-8)
We implement a critical monitoring setup for data drift, concept drift, and silent model failures to ensure performance never degrades unnoticed and results are auditable.
Put our expertise to work
These frameworks are the starting point for our client engagements. If you're facing similar challenges, the next step is a complimentary discovery call.
Book a Discovery Call