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
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 method
Supported services
Delivery option
Helm Chart
Latest version
Operating system
Linux
Deployed on AWS
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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 and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
Please contact support@rhino.ai
Custom pricing options
Request a private offer to receive a custom quote.
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Delivery details
Helm Chart
Supported services: Learn more
- Amazon EKS
- Amazon EKS Anywhere
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
The 2.0 release introduces domain-driven extraction wizard, streamlines document generation, and improves visibility into asset and extraction states. This update also strengthens benchmarking, workflow generation, and overall platform reliability-empowering users to deliver cleaner, faster, and more accurate extractions across domains.
- Introducing Document Studio - A New Era of Intelligent Documentation We're excited to announce the release of Document Studio, a completely new experience for generating and refining documentation from legacy applications.This powerful upgrade replaces the old Documentation Hub with a modern, interactive workspace designed for flexibility, precision, and creativity.
What's New Smarter, Interactive Documentation Meet the Universal Application Document (UAD) - your new, intelligent documentation format. Unlike static reports, the UAD lets you interact with, edit, and refine your documentation in real time.
Key highlights include:
Refine AI Tool - Inject your own prompts directly into any section to guide the LLM's output. Customize tone, structure, and content with full flexibility.
Depth Control - Adjust the level of detail per section (Concise, Moderate, or Thorough) to match your audience.
Reset Controls - Revert sections to their original AI-generated state with a single click.
Enhanced Formatting - Professionally styled title pages, consistent headings, and clear workflow breakdowns for every domain.
Click-to-Edit Sections - Make manual updates instantly without switching views.
A Streamlined Editing Experience The new Document Studio is built for intuitive navigation and seamless customization:
Interactive Outline - Jump across sections or collapse areas you're not focused on.
Show/Hide Controls - Tailor your story to fit your document's scope and purpose, and export exactly what you need.
Contextual Toolbar - Access powerful editing actions right where you work.
Improved Layout & Typography - A modern, scalable design that enhances legibility and maintains a unified visual theme.
Parity & Enhancements from the Old Hub All the familiar capabilities from the previous Documentation Hub are here - and more:
Upload Existing Docs - Bring in your old documents in any format.
PDF and CSV Export for User Stories - Generate polished PDFs for sharing or review.
CSV Export for Test Cases - Easily extract structured test case data for analysis or reporting.
PDF Export for Appian Composer Stories - Generate polished PDFs for stakeholder review or documentation.
Clearer, Richer Content Every document now feels more cohesive and business-ready:
New "About This Document" section for context and professionalism.
Expanded Domain and Functional Details for better readability.
Workflow Summaries and Detailed Breakdowns for transparency and traceability.
Formatted Tables, Lists, and Bullet Styles for improved clarity.
Why It Matters With Document Studio, teams can:
Bridge the gap between legacy systems and modern documentation.
Collaborate and refine outputs in a living, editable format.
Deliver consistent, client-ready documentation faster than ever before.
- Introducing New Extraction Wizard - A Smarter, More Guided Extraction Experience Rhino 2.0 delivers a streamlined, intelligent, and highly predictable extraction workflow - combining guided steps, domain-driven processing, and smarter asset handling to significantly improve extraction quality and user confidence.
A fully guided, multi-step Extraction Wizard that makes complex extractions easier to manage. Users can start, resume, or review extractions with complete visibility into progress and outcomes.
Improved Quick Summary and Domain Discovery stages, helping users validate extraction inputs before committing time to a full pipeline run.
Refined progress tracking, with clear live updates at each stage of the extraction process to reduce confusion and increase predictability.
Full Domain Management & Domain-Based Extraction Domains are now a core part of the extraction lifecycle, enabling cleaner, more organized UANs at scale.
Complete domain management in the UI-users can create, rename, edit, and delete domains directly from a modern, card-based layout.
Domain-driven extraction, allowing users to refine workflows, expressions, and schemas by functional grouping for better organization of large applications.
Domain filters in the UAN editor that help users focus only on relevant artifacts when working through complex or multi-asset projects.
Smarter Asset Handling & Intelligent File Processing The new asset processing pipeline provides more accurate extraction status and processing of Assets.
A redesigned Assets UI that surfaces metadata, load status, and extraction readiness with enhanced responsiveness.
Asset-level badges and status indicators, offering quick signal on processing state during extraction.
- Improved Extraction - Intelligent Domain & Workflow Enhancements Improved extraction lifecycle with enhanced domain support, significant increase in extracted file coverage, and more descriptive workflows.
Smarter file handling via improved file classification, filtering, and increase in supported filetypes.
Enhanced domain-workflow mapping with deeper analysis, better assertions, and improved accuracy.
- What's Fixed (Bugs & Issues Resolved) Extraction Fixes SQL Server column extraction issues, deterministic failures, UAN stage errors, domain-title wrapping bugs, and missing workflows.
Fixed extraction script issues, stale domain mapping logic, and broken parallel tool calls.
Additional details
Usage instructions
- Obtain license file and license keys from Rhino.
- Run the generate-license-secret script provided by Rhino. Provide the file path, key value, and signature key value to the script.
- The script will output a Kubernetes manifest, you must deploy the generated manifest to your desired namespace: kubectl apply -f path/to/manifest.yaml -n [namespace]
- If you wish, deploy a DB password secret to your namespace and set global.postgresql.auth.existingSecret and related keys
- Set the "licenseSecret" to your secret name in Helm values
- Configure the proxy.service parameters as desired (node port, load balancer) to expose the web application outside the cluster
- Configure additional Helm values/secrets for AI services, worker replicas, etc.
- Deploy: helm install rhino -n [namespace] ...
Support
Vendor support
Email: support@rhino.ai Web:
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.
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