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Rhino Agentic Mainframe Modernization

Rhino.ai · Operations & Productivity

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 3 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownContainer
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

rhino.ai is the system of record for enterprise business logic. Its platform turns legacy environments into structured, governed logic for both human teams and agentic AI, reducing the time and cost of modernization while improving delivery consistency, security and transparency across custom-built, packaged, SaaS and low-code applications. ## Comprehensive Discovery and Documentation

Enterprises have spent years trying to modernize COBOL. The harder problem is everything connected to it. The business logic that actually runs an enterprise is spread across Java services, .NET applications, SaaS platforms, workflow engines and integrations built over decades, and no reverse-engineering tool that reads only the mainframe can see it. Rhino's mainframe modernization connects the entire estate into one governed system of record for business logic that both human teams and AI agents can build from. ## Intelligent Documentation and Traceability

Show the rest of the publisher’s description (4 more lines)

Rhino explores and reads the mainframe core, COBOL on CICS, VSAM and DB2 data, batch and JCL, read natively at the source. It also reads custom code, packaged software, low-code, integration fabric, and green-screen access - all read into the same graph. Rhino traces a single business action end to end, making the risk that lives where these layers meet visible. ## Human and AI-Ready Deliverables

Native to AWS, Rhino integrates with AWS Transform through MCP and integrates with AWS Kiro as an agentic development environment. Agents run on Amazon Bedrock and modernized services run on AWS-native infrastructure including AWS Lambda, Amazon ECS and Amazon EKS. ## Getting started

To begin your modernization journey, subscribe through AWS Marketplace and deploy the Rhino.ai container in your AWS environment.

rhino.ai is an AWS AI Competency Partner, AWS Global Startup Partner, a Validated ISV Accelerate partner, and an AWS Pattern Partner.

Highlights

Highlighted by the publisher on AWS Marketplace.

Rhino reads, extracts and documents decades of undocumented logic: Business rules embedded across COBOL, JCL, and data over thirty or forty years, with no source of truth for what they do.

Rhino creates a knowledge graph as the knowledge has left: The people who understood the system have retired, What remained is code no one fully understands. Rhino creates a knowledge graph of the mainframe and connected systems : a single source of truth that grounds developers and the agents.

Rhino generates implementation-ready deliverables - user stories, test cases, ERDs, flow diagrams, and architecture documentation - consumable by both human teams and AI coding agents (AWS Kiro, Cursor, Windsurf) as well as low-code platform agents (Appian Composer, ServiceNow Now Creator). Supports the widest variety of legacy inputs: COBOL, RPG, PL/SQL, Java, .NET, SaaS platforms, and natural-language process documents.

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Plans and pricing as listed

3 listed
Mainframe Small
  • Units
$100,000.00
P12M
Mainframe Medium
  • Units
$200,000.00
P12M
Mainframe Large
  • Units
$500,000.00
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

No refunds, but it does come with a 30-day warranty.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Publisher resources

5 links
Publisher linkaws.amazon.comSource
Publisher linkaws.amazon.comSource
EnterpriseLogicCrisis Whitepaperwww.rhino.aiSource
RhinoOnAWS Architecturewww.rhino.aiSource
Rhino Integration with Amazon Quickwww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
3 plans listed
Delivery
Container
## Rhino.ai Support Rhino.ai provides technical support for all AWS Marketplace customers to help with platform deployment, configuration, usage, and troubleshooting. **Support Channels:** - Email: support@rhino.ai - Support Portal: https://support.rhino.ai **Getting Help:** For deployment assistance, configuration questions, or issues with legacy code analysis and output generation, contact the support team via email or the support portal. Include your AWS account ID and a description of the issue for fastest resolution. **Refunds and Billing:** For questions about billing, subscription management, or refund requests, contact support@rhino.ai with your AWS Marketplace order details. For guided onboarding, discovery sessions, or enterprise deployment planning, reach out to the support team to schedule a consultation.
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