Enterprise LLM Chatbot with RAG
Custom LLM-based system for company-wide data access. Vector embedding pipelines, retrieval-augmented generation, and real-time inference at enterprise scale.
37 enterprise-scale AI systems across 7 industries. Every project ships with measurable results.
Custom LLM-based system for company-wide data access. Vector embedding pipelines, retrieval-augmented generation, and real-time inference at enterprise scale.
Custom diffusion models and LLM script interpretation for film pre-production. Months of manual storyboarding reduced to minutes.
Real-time personalization for 14 major publishing brands. 9% CTR improvement serving 1M+ daily active users.
Dockerized analytics with Nvidia TensorRT optimization. Deployed across Jetson Nano, Azure, and on-site servers for industrial-scale video processing.
Multi-modal AI for 24/7 perimeter monitoring using YOLO-based detection, audio analysis, and automated drone response. 96% accuracy across 50+ sites.
Multi-factor authentication with facial recognition, gait analysis, and behavioral biometrics integrated with existing security infrastructure.
Real-time crowd density estimation and violence detection using 3D ConvNets and optical flow. Deployed in 15+ venues with 91% accuracy.
Multi-camera tracking, anomaly detection, and weapon recognition. Processing 500+ hours of footage daily at high-security facilities.
ANPR, violation detection, and driver behavior analysis. Reduced traffic violations by 45% and improved emergency response by 30%.
PPE detection, hazardous area monitoring, and predictive maintenance using computer vision and IoT across 25+ facilities.
Shoplifting detection, inventory shrinkage monitoring, and customer journey mapping. Reduced retail theft by 62%.
Real-time box counting using custom YOLO and stereo vision, integrated with WMS. Reduced manual errors by 94% across 12 distribution centers.
Multi-stage computer vision for real-time defect detection and robotic sorting. Reduced defects by 97% for automotive manufacturer.
AI-powered assembly verification, worker efficiency analysis, and predictive maintenance. Reduced downtime by 65%.
Deep learning for real-time product classification and sorting with OCR. 600 products/minute throughput.
AI-powered grading for produce using multi-spectral imaging. Reduced food waste by 23% with supply chain integration.
High-precision pill counting and blister pack inspection with batch tracking and contamination detection. Zero counting errors.
Brewing process monitoring, bottle inspection, and foam quality analysis. Reduced recalls by 89%.
Automated PCB inspection, solder joint quality assessment, and functional testing with robotic probes. Reduced testing time by 75%.
Food safety inspection, portion control, and allergen detection for HACCP compliance. Reduced incidents by 96%.
Automated wire inspection and cable assembly verification for automotive & aerospace. Reduced inspection time by 88%.
Graph neural networks for molecular property prediction, target validation, and ADMET screening. $100M+ savings per drug.
AI for patient recruitment, predictive analytics, and protocol optimization. 30% faster recruitment.
Automated regulatory document generation, compliance gap analysis, and real-time regulatory intelligence. 90% compliance accuracy.
Automated pack integrity, expiry OCR, tamper detection, and real-time quality reporting. 80% less packaging waste.
Real-time process optimization, predictive maintenance, and environmental monitoring. 70% less downtime.
Particle detection, personnel monitoring, and air quality analysis with full GMP compliance.
Temperature excursion prediction, route optimization, and real-time alerting. $10M+ annual savings.
Packaging authentication with computer vision and blockchain, supply chain tracking, and suspicious pattern detection.
AI-powered demand prediction, expiry management, and automated reordering. 95% fewer stockouts.
Automated adverse event detection, signal detection, and patient monitoring for comprehensive drug safety.
Genomic analysis, biomarker identification, and digital twin modeling for personalized drug selection.
Scientific literature monitoring, KOL engagement optimization, and medical inquiry automation.
Health economics modeling, payer engagement, and market access probability prediction.
HCP targeting, detailing effectiveness, territory optimization, and compliance monitoring.
Automated batch record review, validation lifecycle management, and audit preparation. Zero regulatory findings.
Claims data analysis, patient journey mapping, and health outcomes prediction for value-based pricing support.