Proof in production.
Selected enterprise programs demonstrating measurable scale, reliability, and business impact powered by Cybelinx product platforms. Identifying details anonymized per client agreements.
Manual patient registration and clinical documentation across 6 hospitals created data silos, 4-hour average admission time, and ABDM non-compliance penalties.
Deployed CybeHealth with AI-powered ABDM health record synchronization, automated OPD registration, and NLP-based SOAP note generation from doctor voice dictation.
Legacy core banking system causing 3-second transaction latency, 14% KYC rejection rate due to document quality issues, and manual AML monitoring with 48-hour investigation cycles.
Migrated to CybeBank with real-time transaction processing, AI-powered KYC document intelligence (Aadhaar/PAN/GSTIN), and automated AML rule engine with ML anomaly scoring.
Fragmented HRMS across subsidiaries with manual statutory compliance across 8 state labour laws, 40% payroll errors, and no visibility into workforce attrition risk.
Unified HRM on CybeHRMS / Synthalyst with multi-entity payroll automation, AI statutory rule engine covering PF/ESI/PT/TDS/gratuity, and ML attrition prediction model.
Manual revenue management, siloed PMS systems per property, and no unified guest intelligence leading to 38% lower RevPAR vs market benchmark.
Deployed CybeHospitality / HostSphere with unified PMS, AI dynamic pricing engine, predictive demand forecasting, and multilingual AI concierge via WhatsApp.
Delivery Pattern Library
Common enterprise problems we've solved — described as reusable patterns, without client-specific detail.
Multi-Entity Payroll Compliance at Scale
Unified statutory rule engine with per-state configuration. Automated PF, ESI, PT, and TDS computation with real-time TRACES reconciliation.
AI-Accelerated KYC & Onboarding
Document intelligence pipeline: OCR → entity extraction → Aadhaar/PAN API cross-verification → risk scoring. Human review only on medium/high-risk cases.
Predictive Demand & Revenue Optimization
Time-series ML model on historical occupancy, seasonality, events, and competitor pricing. Dynamic rate recommendations published to OTA channels every 4 hours.
Full case studies available under NDA
For full client names, detailed architecture diagrams, and ROI documentation — contact our team. We can share references specific to your industry and deal size.
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We can share relevant case studies and delivery references under NDA — matched to your sector and scale.