Why AI Bridge is the smarter path to Modernization

• Seamless integration: connects legacy systems to modern AI without complex, costly migrations or disruptions
• Data security: keeps original data in place, streaming only the necessary metadata
• Faster modernization: auto-discovers, maps and contextualizes legacy data locked in old databases
• AI-ready data: transforms legacy data into actionable insights, giving instant visibility into system readiness
• Future-proof growth: turns legacy systems into dynamic engines of insight, enabling faster, smarter innovation

Key Features

• Seamless Integration: Connects directly with legacy systems like AS/400, mainframes, and old databases without the need for complex migrations or re-engineering.
• Auto-Discovery Mode: Scans enterprise networks to detect operational legacy systems, automatically catalogs data attributes, and maps interconnections — no manual database expertise required.
• Data Contextualization: Transforms and structures legacy data into a format that modern AI applications can understand, making it instantly AI-ready.
• Metadata Streaming for Security: Keeps original data safely in place within legacy infrastructure while only streaming metadata and relevant information for AI analysis.
• System & Data Overview: Presents a clear, visual snapshot of discovered systems, mapped attributes, and system connections, helping stakeholders understand data readiness.
• Actionable Insights: Provides real-time clarity into the feasibility, accessibility, and compatibility of AI models, enabling smarter decision-making.
• Accelerated Modernization: Reduces the time, cost, and disruption usually involved in modernization projects by automating data discovery, mapping, and preparation.
• Future-Proof Scalability: Evolves with enterprise needs, turning legacy systems into dynamic engines of insight that fuel ongoing AI and cloud innovation.

Business Benefits

• 50% cost savings compared to full-scale migrations
• 80% faster modernization with auto-discovery
• Zero downtime during transformation