Security for the Enterprise. Software for the Future.

A mid-size manufacturing plant relied on manual monitoring of 200+ production line variables, causing slow defect detection and high wastage.

Deployed an AI inference layer on top of existing PLC data streams, with a real-time dashboard flagging anomalies and predicting equipment failures before they occur.

Reduced defect rate by 28%, cut unplanned downtime by 40%, and saved significant operational costs through predictive maintenance scheduling.

A global retailer needed a unified agent interface with predictive customer insights to reduce churn and improve conversion.

Built a custom CRM platform leveraging LLMs for automated sentiment analysis, lead scoring, and response generation.

Reduced response times by 60% and increased sales conversion through predictive lead routing.

Manual execution of complex trading strategies led to execution slippage, human errors, and missed market windows.

Built Ginny AI — an automation engine that orchestrates algo-trading strategies with real-time risk controls and multi-broker API integration.

Significant reduction in execution errors and scalable strategy management for high-frequency equity market operations.

Legal teams spent hundreds of hours manually reviewing thousands of contract pages for risk clauses.

Developed a secure RAG pipeline that extracts key clauses, highlights risk factors, and generates plain-English summaries instantly.

Contract review time reduced from days to minutes, with improved accuracy and full compliance tracking.

A retail brand needed a high-conversion online store with intelligent product discovery and fraud prevention built in.

Built a custom storefront with AI-powered product recommendations, semantic search, dynamic pricing, and LLM-generated product copy.

30% increase in average order value and significant reduction in fraudulent transactions within 90 days of launch.

A precision components manufacturer depended on manual visual inspection, leading to inconsistent quality checks and late rejection of defective batches.

Built a camera-based computer vision system with AI defect classification, production-line alerts, and a review console integrated with shift-wise reporting.

Inspection accuracy improved significantly, scrap rates dropped by 22%, and supervisors gained real-time visibility into defect patterns by line and shift.