Rhino Agentic Legacy Modernization
Rhino.ai · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 3 captures on record
What the publisher says
As described on AWS Marketplace.
Rhino.ai is an AI-powered modernization platform that turns legacy black boxes into fully understood, agent-ready applications. It accelerates transformation, reduces costs, cuts technical debt, and improves application quality by automating discovery, documentation, and requirements generation with full traceability and flexibility.
## Comprehensive Discovery and Documentation
Show the rest of the publisher’s description (17 more lines)
Rhino.ai rapidly analyzes and documents complex legacy enterprise applications - including SaaS, low-code, and traditional codebases - to build complete visibility across your technology landscape. Its agentic AI extracts business logic automatically from existing code, documentation, databases, and workflows, capturing hidden dependencies and inefficiencies. The platform supports legacy code bases (COBOL, RPG, PL/SQL, Java, .NET), SaaS platforms, natural-language documentation, and process manuals, giving you multi-perspective clarity. It tracks code structures, database schemas, and APIs across your portfolio.
## Intelligent Documentation and Traceability
Discovery results are organized into comprehensive deliverables that support multiple personas. Rhino.ai generates universal application documentation, user stories, test cases, and process flowcharts, along with functional documentation, technical architecture mappings, business-rule extractions, modernization roadmaps, and implementation-ready specifications. These artifacts are available in structured, machine-readable formats so both human teams and AI agents can consume them. Fine-grained extraction control and coverage statistics provide audit-level evidence that nothing was missed, and source-to-requirement linking delivers unparalleled trust and traceability.
## Platform Architecture and Universal Application Notation (UAN)
At the heart of Rhino.ai is a patented three-phase platform architecture:
- **Understand and Extract** - AI scans code, documents, SaaS applications, and rules to analyze existing systems and identify hidden logic, dependencies, and inefficiencies.
- **Organize and Structure** - Extracted insights are captured in Universal Application Notation (UAN), a platform-agnostic structured repository that standardizes business logic. UAN gives users the power to refine existing logic before moving forward - so they modernize instead of merely migrating.
- **Generate and Transform** - Legacy workflows are converted into scalable applications, supporting SaaS platforms like ServiceNow and Appian, open-source microservices, and external agents.
UAN is the core differentiator: it creates a single source of truth for your application logic that is independent of any target platform, enabling you to evaluate and improve business rules before committing to a new architecture.
## Container Deployment and Control
Rhino.ai supports flexible deployment models on AWS. Deploy as a self-managed container in your own environment using Amazon ECS, EKS, or Fargate, or choose the enterprise-grade SaaS offering. When self-hosted, Rhino.ai does not access your databases or any data in your environment - your data stays entirely under your control. You maintain control over security policies, compliance requirements, and access controls. Bring your own language model (OpenAI, Azure OpenAI, Anthropic, or your own fine-tuned models), and Rhino.ai provides full audit trails, citations, and traceability for trust and transparency.
## Human and AI-Ready Deliverables
With Rhino.ai, you can update requirements or create new ones, produce user stories, test cases, ERDs, and flow diagrams to accelerate implementation. Development teams receive clear, implementation-ready documentation and detailed architecture diagrams. AI agents like AWS Kiro, Windsurf, and Cursor, as well as low-code platform agents like Appian Composer, ServiceNow Now Creator, and OutSystems Mentor, can immediately consume Rhino.ai output to power generation of modernized applications.
## Example Use Case
Consider a financial services firm with a multi-million-line COBOL claims-processing system. Rhino.ai ingests the legacy codebase, extracts business rules and dependencies into UAN, and generates agent-ready specifications. The firm can then refine business logic within UAN before generating microservices-based implementations or deploying to ServiceNow - ensuring they modernize rather than replicate legacy debt.
## Getting Started
To begin your modernization journey, subscribe through AWS Marketplace and deploy the Rhino.ai container in your AWS environment. Visit https://support.rhino.ai for deployment documentation, or request a guided discovery session to assess your legacy portfolio.
Highlights
Highlighted by the publisher on AWS Marketplace.
Rhino.ai's patented Universal Application Notation (UAN) captures legacy business logic in a platform-agnostic representation, letting you refine and improve rules before re-engineering to any target. This means you modernize instead of merely migrating, eliminating the risk of replicating legacy debt in your new system. No other tool provides this structured intermediate layer with full source-to-requirement traceability, leading to 50% reduction in time to value
Deploy as a self-managed container on Amazon ECS, EKS, or Fargate with bring-your-own-LLM flexibility (OpenAI, Azure OpenAI, Anthropic, or custom models). Your source code and data never leave your environment. Full audit trails, citations, and fine-grained extraction controls give security and compliance teams the evidence they need, while coverage statistics confirm nothing was missed during analysis.
Generate 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
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Compliance
- 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- Units
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Refund terms
As stated by the publisher on AWS Marketplace.
No refunds, but it does come with a 30-day warranty.
Sources
Publisher resources
5 linksLinked repositories
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