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    Rhino Agentic Legacy Modernization

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    Sold by: Rhino.ai 
    Deployed on AWS
    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.

    Overview

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    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 & 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. Rhino.ai analyzes legacy code bases, SaaS platforms, natural-language documentation and process manuals, giving you multi-perspective clarity. The platform extracts requirements, process flows and knowledge from technical specs, user manuals and process documents, and it tracks code structures, database schema and APIs across your portfolio.

    Intelligent Documentation & 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 & Universal Application Notation At the heart of Rhino.ai is a three-phase platform architecture. In the Understand & Extract phase, AI scans code, documents, SaaS applications and rules to analyze existing systems and identify hidden logic, dependencies and inefficiencies. The Organize & Structure phase captures extracted insights in a structured repository known as Universal Application Notation (UAN). UAN standardizes business logic, giving users the power to refine existing logic before moving forward so they modernize instead of merely migrating. Finally, the Generate & Transform phase converts legacy workflows into scalable applications, supporting SaaS platforms like ServiceNow and Appian, open-source microservices and external agents. UAN outputs can produce both modern applications and comprehensive documentation.

    Deployment & Control The Rhino.ai platform supports flexible deployment models: choose an enterprise-grade SaaS offering or install Rhino.ai in your self-managed environment and bring your own language model. 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. You can also use your preferred AI models (OpenAI, Azure OpenAI, Anthropic or your own fine-tuned models), and Rhino.ai comes with a full set of audit trails, citations, and other capabilities which provide full trust and transparency.

    Human & 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. Rhino.ai's documentation is ready for both human teams and AI agents. Development teams receive clear, implementation-ready documentation and detailed architecture diagrams for informed decision making. AI agents like AWS Kiro, Windsurf, Cursor, as well as low-code platform agents like Appian Composer, ServiceNow Now Creator, and Outsystems Mentor can immediately consume the Rhino.ai output to power the generation of the new, modernized application.

    Flexible Output & Agentic Transformation Beyond documentation, Rhino.ai offers multiple modernization paths. It can transform legacy code and SaaS apps to modern microservices or SaaS architectures with minimal disruption. Its automated code and SaaS analysis modernizes to modern microservices or SaaS architecture and converts applications to be AI-ready. Rhino.ai also supports replacing outdated processes with agents through agentic workflows, process automation and human-agent collaboration. Rhino.ai gives organizations a secure, flexible and comprehensive modernization platform--delivering faster modernization, lower costs, reduced technical debt and higher-quality applications through automated discovery, documentation and requirements generation with full traceability and flexibility.

    Highlights

    • Extracts detailed functional and technical understanding from the widest variety of legacy code and low-code platforms on the market
    • Generate comprehensive documents with flexible options for structure, detail, tone and more so you can tailor your results to executive, analyst, or technical audiences
    • Update requirements or create new ones, produce user stories, test cases, ERDs, and flow diagrams to accelerate implementation of your reimagined application

    Details

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    Delivery option
    Helm Chart

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Pricing

    Rhino Agentic Legacy Modernization

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    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.

    12-month contract (3)

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    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

    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.

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    Usage information

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    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.

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