Features
COBOL code understanding and living documentation generation
Expert workflow capture and digital twin creation (HyperTwin)
Natural language mainframe terminal (Hopper) for TN3270, ISPF, JCL, CICS, VSAM
Automated incident triage and production operations
Behavioral equivalence code migration to modern architectures (HyperLoop)
Dependency mapping and system inventory
Auditable provenance with immutable audit trails
Tribal knowledge preservation through AI-driven interviews
Legacy system understanding and business logic extraction
Mainframe operations continuity support
VPC/on-premises deployment with zero data egress
No model training on customer data
Deployable on AWS, Azure, Google Cloud, Oracle, IBM Cloud
Agentic AI for mainframe operations via natural language
Verification-driven transformation with layered testing
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
