Results We Can
Point To.

ML-based transaction scoring system processing 40,000 transactions per second with sub-100ms decision latency. Replaced a rule-based system that had 34% false positive rate. Deployed across 14 countries.

IoT sensor data pipeline feeding ML models predicting equipment failure 14 days in advance across 340 assets. Integrated with existing SCADA and ERP systems. Live in production for 22 months.

Data lake and AI platform consolidating 34 legacy data sources, enabling 12 AI-powered citizen services. Built with zero-trust security architecture. Processing 2.4M citizen interactions monthly.

ML model predicting churn 45 days in advance with 87% accuracy. Integrated with CRM for automated retention campaigns. Reduced customer acquisition cost by identifying at-risk high-value accounts.

AI-assisted patient triage with 94% accuracy. Integrated with existing HIS. Approved for clinical use. Processing 1,200 patient assessments daily across 8 hospitals. Reduced average triage time from 23 minutes to 4 minutes.

ML-powered demand prediction at SKU level across 280,000 products. 91% accuracy. Reduced inventory holding costs by 21% while reducing out-of-stock incidents by 34%. Integrated with existing ERP and procurement systems.