AI models detect equipment issues before failure by analyzing vibration, heat, audio, and historical downtime logs. Manufacturers can reduce unplanned outages, cut maintenance costs, and improve asset lifetime. Works across IoT-connected devices, PLCs, and SCADA systems with real-time alerts and visual dashboards for plant operators and maintenance teams.

We build ML-based scoring models to detect fraudulent payments, claims, insurance workflows, and abnormal patterns in transactions, credit applications, or investments. Our real-time decision engines integrate into core systems and improve risk visibility while reducing false positives.

Multilingual chatbots handle support queries, billing, tracking, knowledge lookup, and lead qualification. Fine-tuned for industry vocabulary and workflows, these agents deflect tickets, improve first-response resolution, and escalate intelligently to humans with full context.

AI-driven planners manage staffing, inventory, pricing, routing, and campaign timing based on forecasts, events, and real-time signals. Models adapt to seasonality, channel behavior, and demand spikes while improving gross margin and reducing stock issues.

AI models extract forms, IDs, invoices, disputes, land records, and case documents with adaptive templates and OCR, enabling faster approvals, reduced manual entry, and traceable record systems.

ML systems analyze patient data, scans, reports, vitals, and medical histories to assist diagnosis, triage, and proactive care. HIPAA-safe workflows and model explainability support hospital adoption.