PLATFORM

Semantyx is an AI-powered Business Service Reliability platform, ensuring end-to-end operational resilience, predictive risk intelligence, and regulatory compliance. Backed by ISO 27001 & SOC 2 Type 2 certifications, we provide secure, proactive, and intelligent monitoring—transforming business service health beyond traditional observability.

AI-Driven Business Service Resilience

Ensuring continuous, high-performing business services with intelligent risk detection and mitigation

End-to-End Business Service Discovery – Automatically maps business services, uncovering dependencies and hidden risks.

AI-Powered Operational Resilience – Uses predictive risk modeling to identify potential disruptions before they impact critical services.

Real-Time & Historical Risk Insights – Monitors resilience factors over time to provide proactive risk mitigation.

Critical Business Service Segmentation – Helps organizations prioritize and safeguard their most business-critical services.

Dynamic SLA & KPI Monitoring – Tracks key business service health metrics, ensuring adherence to performance expectations.

Predictive Value Chain Intelligence

Enabling proactive risk assessment and impact analysis across interconnected services

Automated Value Chain Mapping – Identifies and visualizes complex dependencies between business services and IT infrastructure.

Risk-Based Service Chain Profiling – Uses AI-driven rules and scorecards to assess operational risks across the service ecosystem.

Anomaly Detection Across Business Flows – Identifies processing deviations, delays, and failures before they escalate.

Predictive Service Performance Monitoring – Forecasts potential disruptions to timelines, completeness, accuracy, and availability.

Business Impact Analytics – Assesses how deep-system anomalies affect end-user experience and business outcomes.

Intelligent Process Predictability

Leveraging AI to forecast service outcomes and optimize operational efficiency

AI-Driven State Prediction – Predicts intermediate and final process states based on real-time patterns.

Proprietary Analytical Models – Leverages advanced algorithms to enhance process reliability and efficiency.

Pattern-Based Anomaly Detection – Identifies deviations from expected service behaviors, ensuring accuracy and stability.

Processing Time Predictions – Estimates time-to-completion for key processes, optimizing workflow efficiency.

Eliminating Blind Spots in Distributed Architectures – Ensures complete visibility into service transactions and underlying components.

Digital Operational Resilience & Regulatory Intelligence

Ensuring compliance and governance while strengthening business service stability

Regulatory Compliance Automation – Aligns with PSD2, DORA, and other financial regulations, ensuring resilience compliance.

IT Risk Management & Tolerance Assessment – Evaluates operational risks and third-party dependencies.

Incident Impact & Root Cause Analysis – Provides AI-driven insights into the origin and effects of IT incidents.

Compliance-Ready Reporting & Audit Trails – Generates automated compliance reports, reducing manual effort.

Business Service Health Monitoring – Tracks resilience metrics, alerting teams to performance degradations.

AI-Powered Operational Insights & Collaboration

Enhancing service intelligence, alerting, and cross-team collaboration

Real-Time Business Service Performance Insights – Monitors key health indicators in an intuitive dashboard.

Intelligent Alerts & Automated Response Triggers – Provides real-time notifications for critical service issues.

3rd-Party Integration for Incident Management – Connects with external monitoring and alerting systems.

Collaborative Investigation Workflows – Enables cross-functional teams to analyze and resolve issues efficiently.

AI-Enhanced Root Cause Detection – Accelerates troubleshooting by automatically identifying contributing factors.