AI & Automation
Machine learning and automation solutions that turn data into decisions. From model development through production deployment and monitoring.
Practice areas
ML Model Development & Deployment
Custom model development, fine-tuning, and production deployment with the infrastructure to keep models accurate over time.
Data Pipeline Engineering
Lineage-tracked, reliable pipelines that move and transform data without the fragility of legacy ETL.
Predictive Analytics
Forecasting, anomaly detection, and classification systems built around your actual business metrics.
Process Automation
Automating repetitive, rules-based work across systems so your team focuses on what requires judgment.
Work in this practice
Performance and competitor modeling platform for elite cycling
Built a race analytics platform for Stadia Cycling Federation that captures every rider in the peloton at 20ms resolution, simulates tactical scenarios, and tells directors when to send an attack and when to ride the pack.
Data lake that consolidated 12 source systems into one operational view
Consolidated 12 source systems at Halberd Mutual into a unified data lake and built operational dashboards on top that surface claims, vendor, and adjuster patterns the carrier couldn't see when its data lived in silos.
Real-time TMS sync that gave 2,000+ customer locations live shipment visibility
Built a real-time bridge between Westport Foodservice's TMS and the 9 different systems its 2,000+ customer locations run. Customers now see live delivery status from the same screens they already use rather than from a separate portal or an end-of-day data dump.