We use AI and advanced analytics to help customers extract meaningful insights from complex data.

Devised a model to generate healthcare scorecards for individuals using SDOH data, for better treatment and health service access.

Implemented and evaluated a thermal facial landmark detection model, achieving low NME and high performance on low-quality images

Developed an NLP-based tool using MatBERT to extract key parameters from computational materials science literature, achieving a best F1 score of 0.906.

Designed an iterative K-Means approach for novel intent detection, backed by literature review and reproduced research for validation

Warehouse operations became more streamlined with optimized picking strategies and storage allocation. Order fulfillment was faster, labor costs decreased, and inventory accuracy improved.

Predictive maintenance reduced unplanned downtime, optimized scheduling, and lowered costs. Equipment lifespan improved, ensuring stable operations and higher efficiency.

Stock levels were optimized, reducing both excess inventory and stock shortages. Improved forecasting led to better demand management, higher turnover, and more efficient capital use.

Material handling and flow were optimized, reducing congestion and improving production cycles. The streamlined process enhanced resource utilization and overall plant efficiency.

The optimized scheduling system reduced idle time, improved on-time deliveries, and minimized setup costs. Production became more efficient, enhancing responsiveness to demand fluctuations.

It helped the client to take decision on setting manufacturing plants, number of trucks and transportation vans and retailers to partner with.