87% of enterprises are adopting AI — but 60% of their applications can't participate. CHAI transforms legacy monoliths into AI-native, self-optimizing agentic systems.
A step-by-step autonomous pipeline that transforms decades-old systems into AI-native platforms — with human oversight at every critical junction.
Binary-level analysis — no source code needed. Maps every module, entity, service, and dependency into a comprehensive semantic knowledge graph of your application.
Reinforcement learning models score every component's AI-readiness, identify transformation pathways, and create detailed migration blueprints.
Multi-agent orchestration decomposes monoliths into microservices, generates REST/GraphQL APIs, refactors data layers, and builds AI-native interfaces.
Post-deployment monitoring detects drift and triggers self-healing workflows. Your applications never become legacy again — they continuously evolve.
Purpose-built for the agentic AI era. Not another migration tool.
Analyzes compiled binaries, runtime behavior, and network patterns. No source code, no documentation, no tribal knowledge needed. Works with any language, any framework, any age.
Runs entirely on-premise. Zero data exfiltration. Purpose-built models trained on enterprise modernization patterns.
14-18 months of manual modernization compressed to 7-14 days. Higher accuracy. Lower risk. Repeatable.
Ongoing monitoring and optimization ensures your apps evolve with AI capabilities continuously.
Every critical decision requires human approval. Full audit trails and rollback capability built in.
Airline Ticket Reservation System — a real-world transformation story.
A decades-old airline ticketing system was transformed into a fully agentic platform with AI-powered pricing, dynamic routing, and autonomous customer service capabilities.
Join the enterprises transforming legacy systems into AI-native, self-optimizing platforms. Start with a free AI-Readiness assessment.