Sold by: Rhino.ai
Deployed on AWS
Rhino.ai automates legacy application discovery, documentation, and requirements generation - turning black-box systems into agent-ready specs (with full traceability) to create modernized applications for enterprise customers on AWS.
Overview
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
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
- 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.
Details
Sold by
Categories
Delivery method
Supported services
Delivery option
Helm Chart
Latest version
Operating system
Linux
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Small | Annual contract for Rhino.ai Discovery and Documentation (RDD) capabilities for up to 200K lines of code (LOC). | $100,000.00 |
Medium | Annual contract for Rhino.ai Discovery and Documentation (RDD) capabilities for up to 600K lines of code (LOC). | $200,000.00 |
Large | Annual contract for Rhino.ai Discovery and Documentation (RDD) capabilities for up to 2M lines of code (LOC). | $500,000.00 |
Dimensions summary
You buy an annual contract for Rhino.ai Discovery and Documentation (RDD) capabilities. The three options are sized by the volume of code you need analyzed, measured in lines of code (LOC). Small covers up to 200K LOC, Medium up to 600K LOC, and Large up to 2M LOC. Pick the tier that matches the size of your estate. Pricing scales with that code capacity, so a bigger codebase moves you to a higher tier. All three tiers deliver the same RDD capabilities within their stated LOC limit.
Top-of-mind questions for buyers
Your LOC limit covers the code Rhino.ai analyzes across your estate. This includes custom code, packaged software, low-code, integration fabric, and mainframe sources like COBOL, JCL, and batch jobs. All source read into the logic graph counts toward the limit for your chosen tier.
Each tier covers analysis up to a fixed LOC ceiling: 200K for Small, 600K for Medium, and 2M for Large. If your estate is larger than a tier allows, you move to the tier that fits your code volume. Contact the vendor to confirm how mid-contract growth is handled.
You get logic extraction that surfaces hidden rules and dependencies, structured documentation, architecture maps, and machine-readable specifications. Every output traces back to source with a confidence score. All three tiers deliver the same capabilities, differing only in the LOC volume they cover.
www.rhino.ai+1
Helpful?
Vendor refund policy
No refunds, but it does come with a 30-day warranty.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Helm Chart
Supported services: Learn more
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Additional details
Usage instructions
Resources
Support
Vendor support
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.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Rhino.ai is an AI-powered platform which delivers faster modernization, lower costs, reduced tech debt, and higher-quality enterprise applications through automated discovery, documentation, and requirements generation with full traceability and flexibility. It automatically extracts code, documents, and workflows, organizes the most important business application context and logic into a patented platform-agnostic representation where the application can be re-engineered, and outputs agent-ready, modern application requirements suitable for microservices-based open-source implementations as well as low-code platforms like ServiceNow, Appian, etc.
The Rhino Federated Computing Platform (Rhino FCP) allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data sovereignty. Rhino FCP is powered by Edge Computing and Federated Learning - innovative techniques that 'bring code to the data', training AI models locally in order to arrive at better outcomes for applications such as drug discovery, disease prediction, fraud detection, supply chain optimization, and more.
RHINO is a high-performance edge caching solution that accelerates HTML delivery by storing final-rendered content in memory at the edge. Designed for blogs, landing pages, static sites, and WordPress websites, RHINO reduces server load, boosts scalability, and delivers blazing-fast performance without the cost of dedicated infrastructure. Perfectly pairs with MERLIN (Utility Server's image CDN module) for complete front-end acceleration.
Transform CAD and PLM data into production-ready digital twins with AWS infrastructure and NVIDIA Omniverse visualization.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.