HyperTwin: Preserve Institutional Knowledge Before Your COBOL Experts Retire
HyperTwin is a living knowledge capture system for mainframe engineering teams.
It observes how senior engineers navigate COBOL, JCL, CICS, and z/OS workflows, then turns each session into a searchable, audit-ready expert model — so institutional knowledge survives retirements, reorganizations, and handoffs.
Request DemoSubject Matter Expertise Capture
Capture
HyperTwin continuously runs AI-driven interviews to extract tribal knowledge from your subject matter experts.
Create Twin
We synthesize the SME's operational expertise and procedural workflows to build a digital twin.
Query
Ask your HyperTwin SME for instant, cited answers during day-to-day work or during high-stakes issues.
HyperTwin capturing expert knowledge through AI-led interviews.
Codified Institutional Intelligence
Tribal Knowledge Extraction
HyperTwin orchestrates multi-stage AI-drivencode interviews to actively interview experts and fill gaps in institutional memory.
AI-Driven Interviews
Multi-stage pipeline generates context-aware follow-ups to extract deep SME logic.
Concepts Extraction
Every extracted concept links directly to its source interview for total auditability.
Query Digital Twins
Ask the digital twins of your SMEs to resolve complex system issues using their extracted tribal knowledge.
Semantic Knowledge Graph
Moves beyond similarity search to reason over typed entities and hierarchies.
Workflow Extraction
Separates procedural instructions from conceptual facts for high-precision retrieval.
Conflict Resolution
Intelligent deduplication and merging of logic across multiple expert sessions.
Capture SME Workflows
Capture not just what systems are, but how your SMEs operate. Recover complex workflows and operational logic through multimodal capture.
Multimodal Capture
Screen-aware integration to understand visual workflows.
Sovereign Deployment
Deploy entirely on-prem or in VPC with restricted or disabled egress.
HyperTwin is a tribal knowledge capture and extraction system for mainframe engineering teams. HyperTwin observes how senior engineers navigate COBOL, JCL, CICS and z/OS workflows, then turns each session into a searchable, audit-ready expert model so institutional knowledge survives retirements, reorganizations and handoffs. HyperTwin makes that expertise available to the entire team 24/7, before the last SME retires.
HyperTwin continuously runs AI-driven interviews to extract institutional knowledge from subject matter experts. HyperTwin orchestrates multi-stage AI-driven code interviews that generate context-aware follow-ups to extract deep SME logic and fill gaps in institutional memory.
A HyperTwin digital twin synthesizes an SME's operational expertise and procedural workflows into a searchable, audit-ready expert model. Teams query the digital twin to resolve complex system issues using the SME's extracted institutional knowledge.
HyperTwin uses a Semantic Knowledge Graph to reason over typed entities and hierarchies, moving beyond similarity search. HyperTwin separates procedural instructions from conceptual facts for high-precision retrieval and delivers instant, cited answers during day-to-day work or during high-stakes issues.
HyperTwin applies intelligent deduplication and merging of logic across multiple expert sessions. Every concept HyperTwin extracts links directly to its source interview for total auditability, and the digital twin delivers instant, cited answers during day-to-day work or during high-stakes issues.
HyperTwin captures not just what systems are but how SMEs operate, recovering complex workflows and operational logic through multimodal capture. HyperTwin uses screen-aware integration to understand visual workflows.
HyperTwin deploys entirely on-premise or in a VPC.
Make your expertise permanent.
Capture expert workflows before they leave the organization and turn them into operational playbooks your teams can reuse, audit, and scale.