A selection of projects across sectors — each one a story of a business problem solved with thoughtful AI application.
Manual document verification and KYC processes were taking 4–6 days per applicant. We built an AI-powered document processing pipeline that cut this to under 4 hours.
Inventory mismatches were costing the client significant revenue. We deployed an ML-based demand forecasting model integrated directly into their WMS.
Support ticket volume was overwhelming the team. We built an LLM-powered support system that resolves 78% of student queries without human intervention.
The client had aspirations to use AI but no clarity on where to start. We conducted a 4-week strategy engagement that produced a prioritized 18-month roadmap — and saved them from two costly mis-steps.
Generating and dispatching patient reports was a 2-hour manual process per day per center. We automated the full pipeline — from lab system to patient WhatsApp — in 6 weeks.
Unplanned machine downtime was costing the plant ~₹15L per incident. We built a predictive maintenance system using IoT sensor data and ML anomaly detection.