Case Studies That Speak for Themselves
Real problems. Intelligent solutions. Measurable outcomes. Explore how we've transformed businesses across industries with AI-powered software.
Projects Completed
Industries Covered
On-Time Delivery
Client Rating
Adaptive Learning Management System
Client: EdTech Startup (10,000+ Students)
Problem
One-size-fits-all course delivery led to a 45% dropout rate and poor learning outcomes. Students with different learning paces were consistently disengaged and underperforming.
Our Solution
- Adaptive learning engine that adjusts content difficulty in real-time based on performance
- AI-powered doubt resolution chatbot handling 5,000+ student queries per day
- Automated assignment grading system using NLP for written response evaluation
- Engagement analytics dashboard giving instructors real-time student insights
Measured Outcomes
Drop in dropout rate
Student satisfaction
Improvement in scores
Active students served
AI-Powered Radiology Diagnosis Assistant
Client: Leading Multi-Specialty Hospital Chain
Problem
Radiologists were overwhelmed with 500+ scan reviews daily, creating 72-hour review backlogs and diagnostic delays that directly impacted patient care quality.
Our Solution
- CNN-based deep learning model trained on 100,000+ annotated medical images
- Integrated DICOM file processing pipeline for real-time scan ingestion
- Radiologist dashboard with AI-generated diagnostic suggestions and confidence scores
- Federated learning for privacy-preserving model improvements across hospital branches
Measured Outcomes
Reduction in review time
Diagnostic accuracy
Backlog eliminated
Radiologist productivity
Real-Time Fraud Detection Engine
Client: Digital Payments Platform (Series B Startup)
Problem
The existing rule-based fraud system was missing 20% of fraudulent transactions while generating 15% false positives, causing major revenue loss and customer frustration.
Our Solution
- Graph neural network model analyzing transaction networks and behavioral patterns
- Streaming data pipeline on Apache Kafka processing 50,000 TPS in real time
- Explainable AI (XAI) layer for compliance reporting and dispute resolution
- Automated model retraining pipeline triggered by drift detection alerts
Measured Outcomes
Fraud detection rate
False positive rate
Annual fraud savings
Decision latency
AI Personalized Recommendation Engine
Client: Mid-Market Fashion E-commerce Platform
Problem
Generic product listings resulted in 78% bounce rates on product pages. The platform was losing customers to competitors offering personalized discovery experiences.
Our Solution
- Hybrid recommendation system combining collaborative filtering and content-based models
- Real-time user behavior tracking pipeline with Redis caching layer
- A/B testing framework to continuously optimize recommendation algorithms
- Multi-armed bandit algorithm for dynamic merchandising slot optimization
Measured Outcomes
Average order value
Higher recommended CTR
Bounce rate reduction
More repeat purchases