# Hypercubic — full content export

Agentic AI for mainframe operations and modernization. This file contains every
published FAQ answer and glossary definition from https://www.hypercubic.ai/ in one
place, for retrieval and citation. Content is English; other locales are
available via the hreflang alternates on each page.

Last generated at build time. Canonical source: https://www.hypercubic.ai/

## FAQ: home

Source: https://www.hypercubic.ai/

### What is Hypercubic?

Hypercubic is an agentic AI platform for mainframe operations and modernization, serving enterprises and governments that run the world's most critical mainframe infrastructure. Hypercubic helps organizations understand, operate and transform that infrastructure at a fraction of the timeline and cost compared to traditional modernization methods.

### Who uses Hypercubic?

Today's top enterprises and governments trust Hypercubic to transform their critical mainframe infrastructure. Hypercubic serves organizations across financial services, insurance, government, manufacturing, defense, airlines, telecommunications, healthcare, oil and gas, logistics, retail and utilities.

### What does the Hypercubic platform include?

The Hypercubic platform is an end-to-end ecosystem for industrial-scale mainframe operations and modernization, covering four stages: discover, preserve, operate and transform. HyperDocs turns COBOL codebases into living, searchable documentation, HyperTwin captures tribal knowledge to debug and operate legacy systems, Hopper provides an agentic mainframe terminal for the TN3270 and HyperLoop architects legacy systems into modern architectures.

### Why can't standard AI tools modernize mainframes?

Standard AI tools can generate code, but mainframe modernization requires much more than translation. Legacy systems often contain decades of undocumented business rules, tightly coupled batch jobs, data dependencies, terminal workflows, and edge cases that must continue to behave exactly as before.

Hypercubic is built for that environment. It combines code and system understanding, expert knowledge capture, mainframe operations support, and verification-driven transformation so teams can modernize critical systems with traceability and confidence, not just generate code translations.

### How does Hypercubic handle data security and sovereignty?

Hypercubic runs entirely inside a customer's VPC or on-premise environment. Hypercubic operates with zero data egress, immutable audit trails and no model training on customer data, using the customer's own model and keys.

### Which cloud platforms does Hypercubic support?

Hypercubic deploys to AWS, Azure, Google Cloud, Oracle and IBM cloud platforms. Hypercubic can be deployed in customer-controlled VPC or on-premise environments.

### What mainframe use cases does Hypercubic address?

Hypercubic addresses six mainframe use cases across enterprises and governments: tribal knowledge preservation, verified mainframe transformation, legacy system understanding, business logic extraction, mainframe operations continuity and expert knowledge capture.

### How does Hypercubic approach institutional knowledge preservation?

Hypercubic preserves institutional knowledge by combining what exists in the codebase with what only experienced operators know.

HyperDocs analyzes COBOL and related mainframe assets to create searchable documentation of programs, data flows, dependencies, and business logic. HyperTwin captures subject-matter expert knowledge through guided interviews and operational workflows, including how teams diagnose failures, run critical processes, and handle exceptions.

Together, they turn undocumented code and retiring-expert knowledge into a durable, searchable system of record that can support operations, onboarding, and modernization.

## FAQ: hyperloop

Source: https://www.hypercubic.ai/hyperloop

### What is HyperLoop?

HyperLoop is Hypercubic's verification-driven mainframe modernization engine. It analyzes legacy applications, extracts their business logic and dependencies, translates them into modern architectures, and continuously validates the new system against the original behavior.

Rather than relying on large modernization teams and scarce mainframe specialists, HyperLoop automates the analysis, transformation, and verification work required to modernize legacy applications safely. This can reduce the headcount needed for a program, compress timelines from multi-year efforts to months, and provide continuous verification throughout the process rather than relying on manual testing at the end.

### What mainframe workloads does HyperLoop support?

HyperLoop supports COBOL and JCL workloads across CICS, batch, IMS and assembler programs. HyperLoop models, safety-checks and tracks every program in scope, surfacing status, coverage and estimated completion time in a single portfolio view. HyperLoop skips no modules and uses no statistical sampling.

### Which cloud platforms does HyperLoop target?

HyperLoop modernizes legacy mainframe applications to AWS, Azure, GCP, Oracle and IBM cloud platforms. HyperLoop targets the cloud your organization already uses.

### How does HyperLoop ensure correctness during modernization?

HyperLoop ensures correctness by modeling each program with a formally verified language and machine-checking it for memory safety, type correctness and runtime errors. Coverage tracks at the decision-branch level, including branches proven unreachable, so HyperLoop carries no dead logic forward into the modern build.

### How does HyperLoop preserve business rules during modernization?

HyperLoop captures every business rule explicitly, classifies it by type and ties it to the COBOL paragraphs that produced it. Each rule traces back to specific COBOL paragraphs and decision branches, and each rule lands on specific behavior in the modern build with notes on what HyperLoop preserved, simplified or rebuilt.

### How does HyperLoop validate the modern build before production cutover?

HyperLoop requires two gates before production cutover. The modern build first runs against an isomorphic mainframe simulation, a deterministic reference known to be correct, then against live mainframe traffic. No production cutover proceeds until both gates hold, and HyperLoop tracks every divergence through open, investigating, patched and verified stages.

### How much does HyperLoop compress modernization timelines?

HyperLoop is designed to reduce modernization timelines by automating code understanding, business-rule extraction, transformation, and validation. The exact impact depends on the application portfolio, target architecture, data dependencies, and testing requirements.

By replaying large numbers of behavioral comparisons automatically and surfacing divergences with reproducible inputs, HyperLoop can substantially reduce the manual analysis and validation work that typically makes modernization programs take years into months.

## FAQ: hyperdocs

Source: https://www.hypercubic.ai/hyperdocs

### What is HyperDocs?

HyperDocs is an auto-updating knowledge engine for mainframe codebases. HyperDocs ingests COBOL, PL/I, JCL and Assembler source, reconstructs business logic and data lineage and turns legacy code into structured, searchable knowledge. HyperDocs acts as a single source of truth for developers, business analysts and auditors.

### What mainframe source languages does HyperDocs support?

HyperDocs provides native support for the full mainframe stack: COBOL, PL/I, JCL and Assembler. HyperDocs parses code into hierarchical units, tracking relationships, entities and objects.

### How does HyperDocs process legacy source code?

HyperDocs processes legacy source code through a multi-stage orchestration pipeline with real-time progress tracking and automated MDX validation. Beyond simple reasoning, HyperDocs' orchestrator performs multi-stage analysis to reconstruct complex system logic, systematically understanding and reconstructing institutional logic.

### How does HyperDocs keep documentation current?

HyperDocs updates documentation automatically as changes are committed to the codebase, synthesizing with existing information. Docs become searchable and queryable across the entire organization.

### How does HyperDocs serve developers, business analysts and auditors differently?

HyperDocs simultaneously generates technical documentation for developers and plain-English business rules for analysts, acting as a single source of truth. HyperDocs tailors documentation depth and language for developers, business analysts or auditors automatically.

### How does HyperDocs handle business rule traceability?

HyperDocs establishes provable connections between requirements and implementation with line-level code proofs and automated data lineage. Business requirements link directly to specific code snippets with line-level highlighting, and HyperDocs tracks, attributes and stores every documentation update within secure infrastructure.

### How does HyperDocs protect source code and data?

HyperDocs deploys entirely within a VPC or on-premise perimeter for total data sovereignty. HyperDocs generates no telemetry, performs no model training on client data and requires no outbound connections. HyperDocs tracks, attributes and stores every update within secure infrastructure.

### How does HyperDocs make mainframe codebases searchable?

HyperDocs provides a real-time browsable interface with semantic search across all extracted code units. Docs become searchable and queryable across the entire organization, and HyperDocs parses source code into hierarchical units, tracking relationships, entities and objects.

## FAQ: hopper

Source: https://www.hypercubic.ai/hopper

### What is Hopper?

Hopper is a desktop application for z/OS engineers that bundles a TN3270 terminal, a datasets browser, a jobs browser and an AI agent into a single interface. In natural language, you can ask the AI Agent to read COBOL source, submit and monitor batch jobs, decode VSAM records and write changes under your supervision. Hopper runs on macOS, Windows and Linux.

### What operating systems does Hopper run on?

Hopper runs on macOS, Windows and Linux. Hopper provides separate builds for Apple Silicon and Intel processors on macOS. On Windows, Hopper provides an x64 installer. On Linux, Hopper supports Debian and Ubuntu via a .deb package and any Linux distribution via an AppImage.

### Does Hopper require anything to be installed on the mainframe?

No. Hopper runs entirely on your laptop and requires no mainframe-side installation. Nothing runs on z/OS, so your sysprog does not need to deploy anything. Hopper connects to your mainframe over standard TN3270 and optional FTP protocols using your existing network connection.

### How does Hopper connect to z/OS?

Hopper connects to z/OS using two standard mainframe protocols: TN3270 for the live terminal session and FTP for datasets and the JES queue. TN3270 is required. FTP is optional but recommended; without FTP credentials, the datasets browser, jobs browser, builds and most agent tools stay disabled.

### What can Hopper's AI agent do on the mainframe?

Hopper's AI agent reads COBOL and JCL source, submits and monitors jobs, decodes VSAM records and drives ISPF using plain English prompts. The agent operates across six tool categories spanning datasets, jobs, terminal, CICS, COBOL and data taps, and can chain work across subsystems in a single conversation turn.

Hopper's datasets tools list, read, write and allocate sequential datasets, PDSes and members.

Hopper's jobs tools submit JCL, wait for completion, read spool output and classify failures.

Hopper's terminal tools drive the TN3270 session, read screens and send keystrokes and attention keys.

CICS operations in Hopper include sign-on, transaction execution, resource installation and CEDA defines.

COBOL support in Hopper covers compilation, copybook parsing and VSAM record decoding.

Hopper's data tap tools snapshot VSAM data into a queryable local copy and run SQL against it.

### What mainframe languages does Hopper understand?

Hopper's AI agent handles COBOL, JCL, REXX and CLIST. The agent traces how programs and datasets connect and works out what to edit for the task you describe. The agent reads the source directly from your PDSes and uses it within the current conversation.

### How does Hopper's approval model protect against unintended mainframe changes?

Hopper's approval model separates read-only actions from mutating actions. Read-only actions such as listing members, reading source or querying spool run instantly without confirmation. Mutating actions such as writing a member, submitting a job or installing a CICS resource pause in chat for your explicit approval before anything on the mainframe changes.

### How does Hopper handle mainframe credentials and sensitive data?

Hopper stores FTP and CICS credentials in your operating system keychain, not in the application itself. Hopper replaces hidden fields on TN3270 screens, including passwords, with placeholders before screen content reaches the AI agent. The agent never sees raw credentials, and no credentials appear in chat history or exported conversation files.

### What is Hopper used for in mainframe modernization?

Hopper is an AI-powered mainframe workspace that helps teams work faster in the systems they already operate. It supports day-to-day mainframe operations as well as modernization work by making it easier to navigate terminal screens, find and inspect applications, understand programs and job flows, and retrieve the information needed to take the next action.

Instead of manually moving through TN3270 screens, commands, and legacy workflows, teams can use agents to navigate the environment and surface relevant context. Hopper does not replace the mainframe or perform the modernization itself. It helps operators, developers, and modernization teams move through familiar and unfamiliar systems much faster while maintaining control over the underlying environment.

### Is Hopper free to use?

Hopper offers a free Hobby tier that requires no credit card and includes all core features. Hypercubic offers an Enterprise tier with custom pricing for organizations that need SAML SSO, MCP Server Access, admin and model controls, org-wide privacy controls, no model training, priority support, on-premises or VPC deployment and a SOC 2 Type II report available under NDA.

## FAQ: hypertwin

Source: https://www.hypercubic.ai/hypertwin

### What is HyperTwin?

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.

### How does HyperTwin capture tribal knowledge from mainframe subject matter experts?

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.

### What is a HyperTwin digital twin?

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.

### How does HyperTwin make captured knowledge queryable?

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.

### How does HyperTwin ensure accuracy and auditability of captured knowledge?

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.

### How does HyperTwin capture operational and visual workflows?

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.

### Where does HyperTwin deploy?

HyperTwin deploys entirely on-premise or in a VPC.

## FAQ: financial-services

Source: https://www.hypercubic.ai/industries/financial-services

### What does Hypercubic do for banks and financial institutions?

Hypercubic helps banks and financial institutions preserve critical mainframe knowledge, accelerate regulatory compliance and modernize core banking systems built on COBOL, JCL, CICS and DB2. Ninety-two percent of the world's top 100 banks still rely on mainframes for core processing, $8.6 trillion in daily transactions are processed on COBOL-based banking systems globally and 43% of banking systems are built on code older than 20 years.

### How does Hypercubic handle sensitive financial data?

Hypercubic keeps financial institution source code and data entirely within the institution's own environment. Hypercubic deploys within existing infrastructure, processes data under strict contractual terms and never uses customer data to train models. Hypercubic supports on-premises or VPC deployment with zero data egress and no outbound connections required.

### How does Hypercubic support core banking modernization?

Hypercubic supports core banking modernization through HyperLoop, which maps every conditional path, copybook dependency and cross-program call across the entire COBOL codebase. HyperLoop captures every business rule explicitly, classifies each by type and ties each to its source paragraphs. Modernization teams get a complete specification before any replacement code is written. HyperLoop compresses transformation timelines by 80%+ and machine-checks every program for memory safety, type correctness and runtime errors before cutover.

### Which core banking platforms does Hypercubic support?

Hypercubic supports core banking platforms including Hogan, FIS Profile, Finastra Fusion, Fiserv DNA, Jack Henry and Temenos, as well as in-house systems. Hypercubic is built for mainframe environments running COBOL, PL/I, JCL, CICS, IMS, DB2, VSAM, NATURAL and z/OS. HyperLoop produces a complete business logic inventory across each supported platform before any replacement code is written.

### How does Hypercubic support COBOL to cloud banking migrations?

Hypercubic supports COBOL to cloud banking migrations through HyperLoop, which produces line-level correctness proofs that every code path in the modernized system behaves identically to the original COBOL. In core banking re-platforms, teams discover missing rules only after migration, causing production incidents and rollbacks. HyperLoop runs two verification gates before cutover and machine-checks every program for memory safety, type correctness and runtime errors. Banks reduce modernization discovery costs by 60%.

### How does Hypercubic help banks prepare for SOX, Basel III, AML, CCAR/DFAST and GLBA audits?

Hypercubic helps banks prepare for regulatory audits including SOX, Basel III, AML, CCAR/DFAST and GLBA through HyperDocs, which generates audit-ready documentation for every COBOL program, copybook and batch job in the regulatory processing chain. Compliance teams get complete data lineage and business rule documentation without diverting engineers from production. Banks reduce audit preparation time by 40%.

### How does Hypercubic reduce mainframe MIPS consumption?

Hypercubic reduces mainframe MIPS consumption through HyperDocs, which maps the complete mainframe workload topology across batch job chains, CICS transaction flows, DB2 access patterns and IMS segment calls. Capacity planning teams get the visibility to identify and eliminate inefficiencies. Without clear understanding of which batch jobs, CICS transactions and DB2 queries drive cost, optimization efforts are guesswork.

### What happens when senior mainframe engineers retire?

Hypercubic addresses the retiring mainframe workforce through HyperTwin, a living knowledge capture system that runs AI-driven interviews to extract tribal knowledge from subject matter experts. HyperTwin synthesizes each SME's operational expertise and procedural workflows into a digital twin. New team members ask HyperTwin about COBOL programs, JCL jobs and CICS transactions instead of waiting days for overloaded veterans. Banks onboard new mainframe developers 3x faster.

### Can Hypercubic work with an existing mainframe without disruption?

Yes. Hypercubic operates as a read-only intelligence layer. Hypercubic connects to source code repositories and runtime logs without modifying production systems. There is zero impact on mainframe performance or availability.

### How long does it take to complete a core banking system replacement with Hypercubic?

Hypercubic delivers a complete knowledge inventory of a critical application within 4 to 6 weeks, including dependency maps, business rule catalogs and risk assessments delivered as queryable, living documentation. Core banking re-platform initiatives eliminate months of manual reverse-engineering by starting with this automated inventory of business logic, data flows and system dependencies across the entire COBOL estate.

## FAQ: oil-and-gas

Source: https://www.hypercubic.ai/industries/oil-and-gas

### What does Hypercubic do for oil and gas operators?

Hypercubic moves oil and gas operators from COBOL to cloud in quarters, with line-level proofs every production, trading and accounting path behaves identically, continuously audit-ready documentation for regulatory and safety reporting, and the expertise of senior engineers captured before they retire. SCADA and process control codebases in major refineries average more than 40 years of age and 50% of the energy sector IT workforce is eligible for retirement within 5 years.

### Can Hypercubic work with SCADA and process control systems?

Yes. Hypercubic analyzes the code and configuration behind SCADA, DCS and custom process control systems. Hypercubic works at the code layer, not the operational layer, so there is zero risk to production operations. Hypercubic generates fully traceable documentation that maps every safety interlock, alarm and emergency procedure to its code-level implementation. This supports both operational safety and regulatory compliance audits.

### What is hydrocarbon accounting and how does Hypercubic support its modernization?

Hypercubic helps oil and gas operators modernize hydrocarbon accounting systems, the COBOL-based platforms that track production volumes, allocations, custody transfer and royalty calculations. Decades of this logic, including product-control nuance, volume-accounting edge cases and trade-settlement rules, is understood only by senior engineers approaching retirement. HyperDocs continuously generates audit-ready documentation of every production accounting pipeline, custody transfer calculation and emissions reporting flow, with traceability to source COBOL and configuration data. Hydrocarbon accounting modernization discovery is 60% faster with Hypercubic.

### Which oil and gas platforms does Hypercubic support?

Hypercubic supports upstream and operations platforms including SAP IS-Oil, P2 Merrick, Quorum, Halliburton Landmark and IHS Markit, as well as in-house systems. Hypercubic is built for mainframe environments running COBOL, JCL, CICS, IMS, DB2, VSAM, Assembler and z/OS. HyperLoop produces a complete business logic inventory across each supported platform before any replacement code is written.

### How does Hypercubic help oil and gas operators meet API, EPA, PHMSA, BSEE and OSHA requirements?

Hypercubic helps oil and gas operators meet API, EPA, PHMSA, BSEE and OSHA requirements through HyperDocs, which documents embedded regulatory logic, HSE compliance rules and royalty calculation methodologies with full traceability from code to jurisdictional requirements. API standards, EPA reporting, royalty audits and safety incident investigations all require traceable documentation of how production, custody transfer and emissions are calculated across legacy systems. Regulatory reporting impact analysis is 90% faster with Hypercubic.

### How does Hypercubic reduce the risk of oil and gas legacy modernization?

Hypercubic reduces the risk of oil and gas legacy modernization through HyperLoop, which produces line-level correctness proofs that every volume allocation, royalty calculation and custody transfer path in the modernized code behaves identically to the original. A migration error in allocation or volume accounting surfaces as a royalty dispute or regulatory filing error months later. That's why replatforms stall. HyperLoop's two verification gates before cutover mean oil and gas operators migrate with evidence that margins and filings remain intact.

### What happens when senior petroleum engineers and control system specialists retire?

Hypercubic captures the expertise of retiring petroleum engineers, land analysts and control system specialists through HyperTwin, a living knowledge capture system that observes how senior production and trading engineers actually work. HyperTwin turns each session into a queryable expert model covering allocation logic, volume accounting and trade settlement. Decades of accumulated expertise in well operations, pipeline management and regulatory compliance remains accessible to the organization. Production-systems engineer onboarding is 3x faster with Hypercubic.

### How does Hypercubic support overnight production and settlement operations?

Hypercubic supports overnight production and settlement operations through Hopper, an AI agent that works on z/OS, navigating ISPF, submitting JCL, monitoring JES and triaging incidents with SMF and RACF data. Nightly production allocations, trading settlements and regulatory extracts run on z/OS schedules operated by senior engineers whose knowledge is not being replaced. Hopper resolves overnight failures before they affect morning allocations or trading desks.

### What about offshore and remote facility systems?

Hypercubic works with source code repositories, which can be accessed from any location. Hypercubic does not require physical access to remote facilities, only access to the code and documentation that defines their operation.

### How does Hypercubic support oil and gas IT modernization and digital transformation?

Hypercubic supports oil and gas IT modernization and digital transformation by providing the system understanding that makes cloud migration, IoT integration and AI/ML initiatives possible without losing decades of operational intelligence. Every digital transformation in energy starts with understanding what you have. Hypercubic delivers that understanding through automated documentation of production accounting, SCADA integration and joint venture billing logic before migration begins.

## FAQ: insurance

Source: https://www.hypercubic.ai/industries/insurance

### What does Hypercubic do for insurers?

Hypercubic helps insurers preserve critical knowledge of policy administration, claims adjudication and actuarial systems built on COBOL, JCL and mainframe platforms before senior engineers retire. More than 80% of top global insurers still run core policy admin on mainframes, the insurance industry spends $15 billion annually on legacy system maintenance and 45% of insurance IT professionals will retire within the next decade.

### How does Hypercubic handle multi-state regulatory complexity?

Hypercubic identifies and catalogs state-specific rules, rate tables and compliance logic embedded in your codebase. This makes it straightforward to understand which business rules apply in which jurisdictions and how they differ. Statutory reporting updates that previously required weeks of manual code tracing are scoped in hours, with complete visibility into every JCL job, COBOL program and hardcoded jurisdictional rule affected.

### What is PAS modernization and how does Hypercubic support it?

Hypercubic supports PAS modernization by capturing the 30 or more years of product rules, endorsement workflows and lifecycle logic that senior engineers carry before they retire. HyperTwin observes how senior PAS engineers actually work and turns every session into a searchable expert model. New engineers query HyperTwin for endorsement logic, product configurations and edge-case handling instead of hunting through copybooks. PAS modernization discovery is 60% faster with Hypercubic.

### Which policy and claims platforms does Hypercubic support?

Hypercubic supports policy and claims platforms including Guidewire, Duck Creek, Majesco, Sapiens, EIS, INSTEC and Oracle Insurance, as well as in-house systems. Hypercubic is built for mainframe environments running COBOL, PL/I, JCL, CICS, IMS, DB2, VSAM, Assembler and z/OS. HyperLoop produces a complete business logic inventory across each supported platform before any replacement code is written.

### How does Hypercubic support insurance mainframe migration to Guidewire, Duck Creek and modern claims platforms?

Hypercubic supports insurance mainframe migration to Guidewire, Duck Creek and other modern claims platforms through HyperLoop, which produces line-level correctness proofs that every premium calculation, adjudication path and policy state transition in the modernized code behaves identically to the original. PAS re-platforms routinely stall when critical product logic is discovered mid-migration, causing multi-year overruns, broken rate filings and halted policy issuance. Insurers migrate with evidence, not faith.

### How does Hypercubic help insurers meet NAIC, Solvency II, IFRS 17, SOX, ACORD and HIPAA requirements?

Hypercubic helps insurers meet NAIC, Solvency II, IFRS 17, SOX, ACORD and HIPAA requirements through HyperDocs, which continuously generates audit-ready documentation of every statutory report pipeline, including batch chains, extract queries, jurisdictional branches and output formats, that updates with every code change. Every regulatory update triggers weeks of JCL and COBOL tracing to find which hardcoded jurisdictional rules need to change. Errors mean filing rejections, DOI scrutiny and missed deadlines. Regulatory reporting impact analysis is 90% faster with Hypercubic.

### What happens when senior policy and claims engineers retire?

Hypercubic preserves the expertise of retiring insurance engineers through HyperTwin, which turns every session into a searchable expert model. New engineers become productive on claims adjudication systems using HyperTwin for on-demand answers about FNOL processing, reserve logic and state-specific rules instead of waiting for senior SME availability. Claims platform engineer onboarding is 3x faster with Hypercubic.

### How does Hypercubic support overnight claims and settlement batch operations?

Hypercubic supports overnight claims and settlement batch operations through Hopper, an AI agent that works on z/OS, navigating ISPF, submitting JCL, monitoring JES and triaging incidents with SMF and RACF data. Claims adjudication pipelines, premium billing runs and reinsurance settlements depend on z/OS operators who read SMF logs, triage JCL failures and restart job chains before morning cutoffs. Hopper resolves overnight incidents before they escalate to senior operators.

### How does Hypercubic reduce the risk of a core system replacement?

Hypercubic provides a complete inventory of every business rule, calculation and integration in the current system, the foundation implementation teams need to ensure nothing is missed. Core system replacements are the highest-risk IT projects in insurance. The automated inventory cuts months of manual reverse-engineering down to weeks. Understanding existing product configurations also accelerates new product development: when teams can quickly see how similar products are built, what rules apply and where configurations differ, they can design and deploy new products faster.

### Does Hypercubic work with proprietary rating engine table structures?

Hypercubic analyzes proprietary data structures, table-driven rating logic and custom calculation engines. Hypercubic extracts business rules regardless of how they are encoded, whether in code, configuration tables or hybrid structures. This includes hardcoded rate tables, jurisdictional rules and endorsement logic embedded in your codebase.

## FAQ: government

Source: https://www.hypercubic.ai/industries/government

### What does Hypercubic do for government agencies?

Hypercubic moves agencies from COBOL to cloud in quarters, with line-level proofs every eligibility determination, benefit calculation and payment path behaves identically, continuously audit-ready documentation for FedRAMP and FISMA compliance, and the expertise of senior engineers captured before they retire. Eighty percent of federal IT spending goes to operating and maintaining legacy systems, more than 10 billion transactions are processed annually on government mainframe systems and 240 million or more Americans depend on legacy systems for tax, benefits and public services. Thirty percent of federal IT workers are retirement-eligible within the next 3 years.

### Does Hypercubic meet government security and FedRAMP requirements?

Hypercubic is designed for secure government deployment. Hypercubic deploys within your infrastructure and your source code and data never leave your environment. Hypercubic can be deployed in air-gapped environments and works with your security team to meet FedRAMP, FISMA and agency-specific requirements. Security and compliance teams generate system boundary documentation, data flow diagrams and security control evidence in weeks instead of months, with automatically updated artifacts that keep pace with system changes between authorization cycles. Benefits-system modernization discovery is 60% faster with Hypercubic.

### Which government agency systems and platforms does Hypercubic support?

Hypercubic supports government agency systems including SSA, IRS, state Medicaid, unemployment and DMV platforms, as well as program platforms including CGI, Deloitte, Accenture, Tyler Technologies and Infor Public Sector. Hypercubic is built for mainframe environments running COBOL, JCL, CICS, IMS, DB2, VSAM, Assembler and z/OS. HyperLoop produces a complete business logic inventory across each agency system before any replacement code is written.

### How does Hypercubic support federal IT modernization mandates?

Hypercubic automates the legacy system inventory and documentation process that federal modernization mandates require. Hypercubic provides the system documentation and risk assessments that support modernization planning and budget justification. TMF-funded and agency modernization programs eliminate months of manual reverse-engineering by starting with an automated specification of every business rule, data flow and system dependency, reducing the discovery gaps that cause cost overruns and schedule slips.

### How does Hypercubic reduce the risk of benefits or eligibility system modernization?

Hypercubic reduces the risk of benefits and eligibility system modernization through HyperLoop, which produces line-level correctness proofs that every eligibility, benefit calculation and payment path in the modernized code behaves identically to the original. A benefits modernization failure makes the front page. When state unemployment, DMV or tax systems fail, the story goes national. Agencies modernize with provable equivalence on every eligibility determination and payment calculation, without denying benefits to eligible citizens or issuing erroneous payments.

### How does Hypercubic help agencies prepare for OIG, GAO and congressional audits?

Hypercubic helps agencies prepare for OIG, GAO and congressional audits through HyperDocs, which continuously generates audit-ready documentation of every eligibility determination, benefit calculation and payment issuance path, with full traceability to source COBOL. OIG investigations, GAO audits, congressional inquiries and Section 508 reviews demand traceable documentation of how benefits are calculated and payments issued, today assembled manually under deadline. Audit and oversight impact analysis is 90% faster with Hypercubic.

### How does Hypercubic handle systems built across multiple decades and administrations?

Hypercubic is built specifically for government legacy environments, which are often the most complex, with code spanning multiple decades, technologies and organizational changes. HyperLoop produces an automated specification of every business rule, data flow and system dependency. Modernization teams get a complete specification before any replacement code is written.

### What happens when retirement-eligible government engineers leave?

Hypercubic captures the expertise of retirement-eligible government engineers through HyperTwin, which observes how senior program engineers actually work, including eligibility determination, benefit calculation and payment processing, and turns each session into a queryable expert model for the next wave of civil servants and contractors. New contractors and agency staff become productive on legacy COBOL systems faster, using HyperTwin for on-demand answers about benefits logic, tax rules and batch processing dependencies instead of competing for scarce SME availability. Program engineer onboarding is 3x faster with Hypercubic.

### How does Hypercubic support overnight eligibility and payment operations?

Hypercubic supports overnight eligibility and payment operations through Hopper, an AI agent that works on z/OS, navigating ISPF, submitting JCL, monitoring JES and triaging incidents with SMF and RACF data. End-of-cycle eligibility runs, payment file generation and agency interface loads run on z/OS schedules operated by a shrinking bench of cleared engineers whose knowledge is not being replaced. Hopper resolves nightly failures before they delay a benefit cycle or regulatory deadline.

### How does Hypercubic support state government IT modernization?

Hypercubic supports state government IT modernization across the unemployment insurance, Medicaid eligibility, DMV and state tax systems that 240 million or more Americans depend on for tax, benefits and public services. State OIG reviews and oversight inquiries demand traceable documentation of how benefits are calculated and payments issued. HyperDocs generates and updates this audit-ready documentation automatically as code changes.

## FAQ: retail

Source: https://www.hypercubic.ai/industries/retail

### What does Hypercubic do for retailers?

Hypercubic moves retailers from COBOL to cloud in quarters, with line-level proofs every pricing, promotion and inventory-update path behaves identically, continuously audit-ready documentation of the rules that run stores, and the expertise of senior engineers captured before they retire. Eighty percent of top retailers still run core merchandising on mainframe systems and 60% of retail IT budgets are spent maintaining legacy infrastructure.

### Does Hypercubic work with IBM i, AS/400 and RPG retail systems?

Yes. Hypercubic supports IBM i and AS/400 retail environments running COBOL and RPG retail applications. Many retail IBM i and AS/400 platforms carry decades of pricing, inventory and supply chain batch processing logic in these languages, with the same modernization challenges as z/OS COBOL. Hypercubic maps the business rules embedded in IBM i and AS/400 codebases before any replacement code is written.

### Which retail platforms does Hypercubic support?

Hypercubic supports retail platforms including SAP Retail, Oracle Retail, JDA/Blue Yonder, Manhattan, Aptos and Epicor, as well as in-house systems. Hypercubic is built for mainframe environments running COBOL, JCL, CICS, IMS, DB2, VSAM, IBM i (AS/400), Assembler and z/OS. Hypercubic focuses on the legacy mainframe layer that often sits beneath or alongside ERP systems and maps the integration points between the mainframe and ERP, ensuring nothing is lost in translation during modernization.

### How does Hypercubic support retail POS modernization?

Hypercubic supports retail POS modernization through HyperLoop, which produces line-level correctness proofs that every pricing, promotion and inventory-update path in the modernized code behaves identically to the original. Holiday freezes leave no forgiving window for migration cutovers. Prior replatform attempts have failed mid-flight when undocumented pricing edge cases surfaced in production. Cutovers land without pricing errors, loyalty surprises or POS downtime.

### How does Hypercubic support retail merchandising modernization?

Hypercubic supports retail merchandising modernization through HyperTwin, which captures decades of pricing rules, promotion stacking, markdowns and planogram logic from retiring merchandising engineers. HyperTwin observes how senior engineers navigate pricing and promotion logic and then turns each session into a queryable expert model. New engineers ask HyperTwin about markdown cascades or promo stacking rules instead of reverse-engineering COBOL. Merchandising system modernization discovery is 60% faster with Hypercubic.

### How does Hypercubic help retailers meet PCI DSS, CCPA and GDPR requirements?

Hypercubic helps retailers meet PCI DSS, CCPA, GDPR and SOX requirements through HyperDocs, which continuously generates audit-ready documentation of every program and data flow touching cardholder data, loyalty records or personal information, with traceability to source COBOL. PCI DSS, CCPA, state privacy laws and internal SOX controls require demonstrable documentation of every code path touching cardholder or customer data. Today it's assembled by hand every audit cycle. PCI compliance impact analysis is 90% faster with Hypercubic.

### Can Hypercubic handle the scale of enterprise retail systems?

Yes. Hypercubic works with retailers processing millions of lines of COBOL across thousands of programs. Hypercubic is designed to handle enterprise-scale codebases and complex inter-system dependencies.

### What about seasonal business logic and holiday pricing?

Hypercubic captures time-dependent logic, including holiday pricing, seasonal promotions and fiscal calendar calculations, that may only execute certain times of the year and is often the hardest to document manually. This logic is captured in HyperTwin's queryable expert model. New engineers ask HyperTwin about markdown cascades or promo stacking rules instead of reverse-engineering COBOL.

### How does Hypercubic support overnight restocking and store closeout operations?

Hypercubic supports overnight restocking and store closeout operations through Hopper, an AI agent that works on z/OS, navigating ISPF, submitting JCL, monitoring JES and triaging incidents with SMF and RACF data. Batch jobs for restocking, end-of-day closeout, DC dispatch and nightly pricing updates depend on z/OS operators who triage JCL failures before stores open. Hopper resolves overnight failures before they delay a morning store open. Documented batch dependencies, captured SME troubleshooting expertise and integration maps enable operations teams to diagnose and resolve mainframe issues without escalation to senior engineers. Store-systems engineer onboarding is 3x faster with Hypercubic.

### How does Hypercubic support retail e-commerce modernization?

Hypercubic helps retailers understand every business rule and integration point in existing merchandising, replenishment, POS and EDI systems before migrating to modern e-commerce platforms, reducing migration risk and accelerating timelines. HyperLoop maps every pricing rule, promotion path and integration point in existing systems before any e-commerce re-platform begins.

## FAQ: telecommunications

Source: https://www.hypercubic.ai/industries/telecommunications

### What does Hypercubic do for telecommunications companies?

Hypercubic moves telecom operators from COBOL to cloud in quarters, with line-level proofs every rating, charging and billing path behaves identically, continuously audit-ready documentation for CPNI and FCC compliance, and the expertise of senior engineers captured before they retire. More than 50 billion call detail records are processed daily on legacy mediation platforms and a typical tier-1 telecom operator runs more than 200 million lines of legacy code.

### What is BSS modernization and how does Hypercubic support it?

Hypercubic supports BSS modernization through HyperTwin, which observes how senior BSS engineers actually work (rate plan configuration, interconnect settlement and discount stacking) and turns each session into a queryable expert model for the next wave of engineers. BSS transformations fail when organizations underestimate the complexity of their current systems. Hypercubic provides a complete inventory of every business rule, calculation and integration point, so transformation teams start from facts, not assumptions. BSS modernization discovery is 60% faster with Hypercubic.

### How does Hypercubic support OSS modernization?

Hypercubic supports OSS modernization through Hopper, which works as an AI agent on z/OS. Hypercubic analyzes both real-time transaction processing and batch systems and maps the interactions between online and batch components, which is critical for understanding telecom operations where both paradigms coexist.

### Which telecom BSS and OSS platforms does Hypercubic support?

Hypercubic supports BSS and OSS platforms including Amdocs, Oracle BRM, Netcracker, Ericsson BSS, CSG, Kenan/ARBOR, Geneva and in-house. Hypercubic is built for mainframe environments running COBOL, JCL, CICS, IMS, DB2, VSAM, Assembler and z/OS.

### What is revenue assurance modernization and how does Hypercubic address revenue leakage risk?

Hypercubic addresses revenue leakage risk through HyperLoop, which produces line-level correctness proofs that every rating, charging and interconnect settlement path in the modernized code behaves identically to the original, so operators migrate without revenue leakage or customer billing surprises. BSS migrations risk underbilling, overbilling and revenue leakage that surface months later. Line-level equivalence is the only acceptable posture.

### How does Hypercubic support telecom billing system modernization?

Hypercubic supports telecom billing system modernization through HyperTwin and HyperLoop. HyperTwin captures the decades of product pricing, discounting and interconnect settlement logic encoded in legacy billing stacks and rating systems including Amdocs, Kenan, CBS, ARBOR and Geneva before any replacement code is written. HyperLoop produces line-level correctness proofs that every rating, charging and interconnect settlement path in the modernized code behaves identically to the original.

### How does Hypercubic help with CPNI, CALEA and FCC compliance documentation?

Hypercubic helps with CPNI, CALEA, FCC, GDPR and SOX compliance documentation through HyperDocs, which continuously generates audit-ready documentation of every rating, charging and billing pipeline with full traceability from usage records to invoice line items. Revenue audits, CPNI reviews and FCC inquiries demand traceable documentation of how every call, message and data session becomes a charge. That documentation is painfully reconstructed today. Audit prep collapses from weeks to hours, and revenue and regulatory audit impact analysis is 90% faster with Hypercubic.

### Can Hypercubic handle the scale of a major telecom's codebase?

Yes. Hypercubic is built for enterprise scale. Hypercubic's platform routinely processes codebases with hundreds of millions of lines across thousands of programs, which is typical of tier-1 telecom operators.

### How does Hypercubic support nightly billing runs and interconnect settlement operations?

Hypercubic supports nightly billing runs and interconnect settlement through Hopper, an AI agent on z/OS that navigates ISPF, submits JCL, monitors JES and triages incidents with SMF and RACF data. End-of-cycle billing, interconnect settlement and regulatory extract jobs run on z/OS schedules operated by senior engineers whose knowledge is not being replaced. Nightly billing failures get resolved before they affect an invoice cycle. BSS engineer onboarding is 3x faster with Hypercubic.

### How does Hypercubic help reduce telecom legacy maintenance costs?

Hypercubic provides documentation and knowledge access that reduces the time developers spend understanding legacy code. Teams report significant reductions in analysis time for change requests and incident resolution. Hypercubic makes legacy billing, provisioning and mediation systems fully documentable before senior engineers leave.

## FAQ: mainframe-modernization

Source: https://www.hypercubic.ai/industries/mainframe-modernization

### What are the four mainframe modernization strategies?

Rehost, replatform, refactor and retain. Rehost moves the workload onto an emulator or cloud instance without changing the code. Replatform swaps the runtime layer — database, transaction manager, scheduler — while leaving application code intact. Refactor rewrites the code into a modern language while preserving the business logic. Retain deliberately keeps the workload on the mainframe. Large institutions normally apply several of them across one portfolio rather than picking one.

### Should I rehost or refactor my COBOL applications?

It depends on how often the code changes and what a mistake costs. Rehosting is faster and lower risk, but it preserves both the legacy code and the skills dependency, so it suits stable workloads under hardware or datacentre pressure. Refactoring removes the COBOL dependency permanently and suits workloads with a live change backlog, but it costs more and fails when the original business rules were never documented. Decide per workload using change history rather than portfolio-wide.

### Why do COBOL to Java migrations fail?

Rarely because of syntax. They fail because the specification was never written down, so nobody can prove the rewritten system is correct; because arithmetic differs between COBOL packed decimal and Java floating point, producing silent rounding drift rather than crashes; because test suites encode current behavior on paths someone thought to test rather than correct behavior across all paths; because regulatory re-certification costs are discovered late; and because the experts who understand the system retire during the programme.

### How long does mainframe modernization take?

It depends far more on how well the existing system is understood than on how much code there is. Portfolios with current documentation and available subject-matter experts move in quarters. Portfolios where the business rules exist only as behavior spend most of the calendar on discovery before any migration work starts. That is why documentation and knowledge capture are prerequisites rather than parallel workstreams.

### Is it ever correct to leave a workload on the mainframe?

Yes. Stable, high-throughput workloads that rarely change and are cheap to operate — batch settlement is the clearest example — are often already fit for purpose, and moving them adds risk without adding capability. Retain is a legitimate strategy when it is chosen deliberately and documented. What is not a strategy is retaining a workload nobody can explain, because the knowledge still disappears when the team retires.

## Glossary

Source: https://www.hypercubic.ai/glossary

### COBOL (Common Business-Oriented Language)

A high-level programming language designed in 1959 for business data processing. Still runs an estimated 220 billion lines of code in banks, insurers, and government systems.

### Mainframe

A high-reliability, high-throughput computer system built for mission-critical transaction processing — typically IBM z Systems running z/OS.

### JCL (Job Control Language)

The scripting language used on IBM z/OS to describe batch jobs — which programs to run, what inputs to read, and where to send outputs.

### PL/I (Programming Language One)

An IBM programming language introduced in 1964 that combined scientific and business computing. Still found in insurance, banking, and airline reservation systems.

### Assembler

Low-level mainframe programming language mapping directly to z/Architecture instructions. Used for performance-critical code and system utilities.

### z/OS

IBM's 64-bit mainframe operating system, descended from OS/360. Runs mission-critical workloads at the world's largest banks, insurers, and governments.

### CICS (Customer Information Control System)

IBM's transaction processing monitor for z/OS. Handles billions of online transactions a day across ATM networks, card processing, and airline systems.

### Db2

IBM's relational database for the mainframe. Powers core banking, claims processing, and government systems worldwide.

### IMS (Information Management System)

IBM's hierarchical database and transaction system, predating relational databases. Still the system of record at many large financial institutions.

### RACF (Resource Access Control Facility)

IBM's mainframe security and authorization system. Every access to z/OS resources is logged and audited through RACF.

### JES (Job Entry Subsystem)

The z/OS component that receives, schedules, and manages batch jobs. Administrators monitor JES2 or JES3 to track every mainframe workload.

### ISPF (Interactive System Productivity Facility)

The full-screen, menu-driven interface mainframe developers and operators use to edit code, submit jobs, and navigate z/OS.

### SMF (System Management Facilities)

z/OS subsystem that records operational data — every job, every access, every transaction — in SMF records for audit and capacity planning.

### VSAM (Virtual Storage Access Method)

IBM's flat-file data access system for z/OS. Many core banking ledgers and insurance policy stores still sit in VSAM files.

### Dataset

The mainframe term for a file. Datasets have dataset names (DSN), record formats (RECFM), and block sizes (BLKSIZE) that must be declared in JCL.

### Copybook

A reusable COBOL record definition included across programs. Copybooks capture the shape of a customer record, a claim, or a transaction.

### Batch

Work that runs overnight or on a schedule — end-of-day reconciliation, billing runs, report generation. Batch still represents most mainframe CPU time.

### OLTP (Online Transaction Processing)

Interactive, per-request workloads — card authorizations, trading, reservations — that mainframes handle at millisecond latencies and 99.999% availability.

### MIPS (Million Instructions Per Second)

The historical unit of mainframe capacity. Still how IBM prices z/OS software: more MIPS used means more license fees due.

### LPAR (Logical Partition)

A logically isolated slice of a mainframe, acting as its own independent machine. Large institutions run dozens of LPARs per physical z-box.

### Rehost

Lift-and-shift: move mainframe workloads to emulators or cloud instances without rewriting code. Fast, but preserves the legacy code and skill gap.

### Refactor

Rewrite mainframe code into a modern language (often Java or Go) while preserving the business logic. Slower, but produces maintainable target code.

### Replatform

Migrate the runtime layer — databases, transaction managers — while keeping application code largely intact. A middle path between rehost and refactor.

### Retain

Deliberately keep some workloads on the mainframe. Not every system needs to move; some are already fit for purpose and cheap to operate.

### Behavioral equivalence

A modernized program is behaviorally equivalent to its legacy counterpart when, for every input, it produces the same output. The strongest correctness guarantee for migration.

### Agentic AI

AI systems that plan multi-step actions, invoke tools, and complete end-to-end tasks with minimal supervision. The class of AI Hypercubic uses for mainframe work.

### Formal verification

Mathematical proof that a program meets a specification — not just passes tests. Essential for modernizing code that processes money, benefits, or safety-critical logic.

### Retrieval

Pulling relevant passages from a large corpus so a language model can ground its answer in specific facts. How HyperTwin surfaces expert knowledge on demand.

### Institutional knowledge

The undocumented expertise a team carries — how production really works, which flags to check, what the last incident taught. The thing that retires with senior engineers.

### HyperTwin

Hypercubic's living knowledge capture product. Records how senior engineers navigate COBOL, JCL, and CICS workflows, turning each session into a searchable, audit-ready expert model.

### HyperDocs

Hypercubic's auto-updating documentation engine. Reads COBOL, PL/I, and JCL sources, reconstructs business logic, and keeps documentation in sync with every code change.

### Hopper

Hypercubic's AI agent for mainframe operations. Navigates ISPF, writes JCL, monitors JES jobs, and triages incidents using RACF and SMF data.

### HyperLoop

Hypercubic's modernization engine with formal verification. Moves mainframe workloads to cloud in months with 1:1 functional equivalence.