AI modernisation embedded across every XIS solution, secured end to end by enterprise-grade compliance, quantum-ready encryption, and continuous threat monitoring.
ISO Certifications Aligned
Embedded Across Every XIS Solution
Encryption for Critical Infrastructure
Monitoring & Threat Response
Delaplex is AI-engineered and AI-accelerated by design. The same AI engines already at work across the XIS suite, DiAMS's AutoPilot for predictive asset maintenance and Modern Data Management's AI-driven metadata platform with MCP server integration for large language models, are unified under one AI Modernisation practice. It helps enterprises retire legacy systems, automate business processes, and build AI-ready foundations without starting from scratch.
Every deployment carries that innovation forward with security as a first-class requirement, not an afterthought: enterprise information security management, quantum-ready encryption for mission-critical environments, and continuous monitoring built into the platform from day one.
Legacy application modernisation with embedded AI, ML, and automation across the enterprise stack.
ISO 27001-aligned information security management across every XIS deployment.
Post-quantum cryptography and hardware-fingerprint authentication for critical infrastructure.
Automated PII classification and access controls keep AI systems compliant by default.
Legacy system re-platforming with embedded predictive analytics and workflow automation.
Role-based access control and network isolation applied consistently across the XIS suite.
Post-quantum cryptography and SIM-less, hardware-fingerprint device authentication.
Anomaly detection models trained on the same engine that powers predictive maintenance across XIS.
MCP server architecture gives LLMs like OpenAI and Claude a governed, secure API into enterprise data.
Aligned to ISO 9001, 20000, 14001, 22301, 27001, and 27017, with HIPAA-aligned practices.
Request a live demo, read the whitepaper, or talk to our team about your AI and security roadmap.