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The client was running on legacy on-premise infrastructure with frequent outages and scaling issues during peak transaction periods, resulting in lost revenue and customer dissatisfaction.
The client had patient data scattered across 15+ systems with no unified analytics capability, making it impossible to identify patterns in patient outcomes or optimize operational efficiency.
The client's monolithic e-commerce platform was struggling with page load times exceeding 8 seconds, cart abandonment rates of 75%, and inability to handle seasonal traffic surges.
Manual quality inspection processes led to a 5% defect rate reaching customers, costing millions in returns, rework, and reputation damage.