Intelligent HPLC Result Interpretation

We built a diagnostic platform that automates the interpretation of haemoglobin chromatograms from HPLC analyzers. It uses adaptive algorithms and cloud-based libraries to identify known and unknown peaks, saving doctors time and improving diagnostic accuracy.

Digital Claim Submission

We developed a HIPAA-compliant cloud platform for submitting CMS 1500 and dental insurance claims. It standardizes patient data, validates entries, and generates printable forms, enabling clinics to move toward paperless, traceable insurance workflows.

Population Healthcare

This solution helps clinicians track vaccination performance using a dashboard that compares individual metrics with national benchmarks. It integrates with learning systems and supports educational interventions to improve immunization rates.

Evidence-Based Care Coordination

Designed for antenatal care, this platform uses AI to assess pregnancy risks and manage care. It combines diagnostics kits with real-time monitoring and communication tools to support early detection and prioritization of high-risk cases.

Non-Performing Asset Analytics

We helped a financial institution tackle its NPA challenge by building a predictive analytics model. It used causal matrices and 9 million data points to identify potential defaulters early in the loan approval cycle, improving classification accuracy and reducing risk exposure.

AI Solutions in Financial Services

We delivered a suite of AI-powered solutions across banking, insurance, and exchanges. These included fraud detection, customer churn prediction, arbitrage trading, and claims intelligence, each tailored to improve decision-making and operational efficiency.

Arbitrage Trading

We created a real-time trading model across 530 global exchanges and 1170 digital assets. The system identified profitable arbitrage opportunities and delivered actionable insights, helping the client capitalize on market inefficiencies.

Risk Assessment & Propensity Model

We built a model to assess creditworthiness using both traditional and non-traditional data. It enabled faster loan decisions, improved cross-sell opportunities, and expanded access to credit for a wider borrower base.

Differential Privacy

To address data privacy concerns, we implemented an ETL pipeline with differential privacy. It added controlled noise to sensitive data, ensuring compliance with GDPR and CCPA while preserving analytical value.

Customer Segmentation & Profiling

We helped a large US retailer segment its customers using CHAID, clustering, and classification trees. The solution identified engaged and disengaged segments, enabling targeted retention and upselling strategies. It also supported lifetime value analysis and loyalty program design.

Sales / Demand Forecasting

We built a forecasting model using time series and regression techniques to predict sales and demand. It helped the retailer improve inventory planning, resource allocation, and supply chain efficiency by anticipating demand fluctuations.

Promotion Impact on Sales

We used regression and optimization modeling to analyze how discounts affect sales across product categories. The solution identified minimum, maximum, and optimal discount levels, helping the retailer design more effective promotional campaigns.

Modeling Brand Affinity

We analyzed customer purchase history and profiles to model brand preferences. The insights enabled the retailer to design brand-specific promotions, loyalty programs, and marketing strategies tailored to different customer segments.

Employee Attrition & Retention

We worked with a large US bank to predict employee attrition using AI. The system identified who might quit and why, allowing managers to address risk factors proactively. As a result, the bank reduced attrition by 30% and improved its training and retention strategies.

Employee Productivity

A global software company partnered with us to enhance developer productivity. The solution identified communication gaps and training needs through behavioural analytics. Post-implementation, the company saw fewer bugs and better collaboration across teams.

Smart Mobility Platform

Implemented across three metro cities in India, this platform integrates real-time data from GPS, sensors, and mobile apps to improve public transport planning. It reduces commute time by 15–20 minutes daily and enhances safety and convenience for commuters.

Disaster Management

This mobile and wearable-enabled solution allows real-time incident reporting for road accidents, harassment, and personal safety. Used by law enforcement and field teams, it connects users to control rooms via geo-location alerts.

Logistics Planning

We partnered with one of the largest bulk transport companies in the US to build a planning system that optimizes routes, trailers, and driver schedules. The solution includes GPS tracking, real-time data collection, and role-based access for planners. It helped reduce travel distance, save fuel, and comply with driver regulations.

Freight Flow Analysis

In collaboration with the World Bank Group, we built a model to analyze freight movement in urban cities. The solution identified congestion points, optimized warehouse locations, and proposed alternative transport modes to reduce traffic and improve logistics infrastructure planning.

Order Planning

The system features a drag-and-drop interface that allows logistics managers to assign orders and trailers to drivers seamlessly. It integrates with third-party systems and supports real-time adjustments, improving operational flexibility and reducing planning time.