Sold by: Karsun Solutions
Deployed on AWS
The ReDuX platform revolutionizes application modernization by applying AI and Machine Learning, powered by Amazon Bedrock, to transform legacy and mainframe systems. It provides a robust toolkit for automated code conversion, architecture mapping, and DevSecOps enablement, significantly accelerating the journey to the cloud. Designed to deliver secure, scalable, and compliant modernization solutions on AWS, ReDuX helps organizations overcome the limitations of outdated systems, fostering innovation and business transformation. By leveraging ReDuX, enterprises can achieve enhanced agility, improved customer experience, and reduced operational costs.
Overview
ReDuX is an AI-powered modernization platform designed for every step of your journey, from deep discovery to accelerated delivery. It's built by an experienced government technology partner with 15+ years solving complex challenges for large-scale enterprise modernization efforts. ReDuX leverages Amazon Bedrock to fully automate system analysis, blueprinting, and code transformation, dramatically reducing modernization timelines compared to traditional manual refactoring or semi-automated pipelines.
The ReDuX platform accelerates your legacy system modernization with AI solutions, allowing you to modernize your system not in years, but in months. ReDuX goes beyond self-service options by providing the capabilities to use AI to assess your domain, mobilize AI agents, and scale your modernization practice. Its robust toolkit supports your team as you pilot, configure, and tune your AI modernization efforts.
ReDuX is a testament to quality, developed by an AWS Well-Architected Partner with AWS Government, Migration and Modernization, and DevOps Competencies, and a software development practice appraised at CMMI v2.0 Level 5.
Highlights
- Understanding Legacy with AI-Powered Insights: The ReDuX Blueprint Agent leverages Amazon Bedrock, Amazon EKS, and Claude 3.5 Sonnet to deliver deep system insights through automated analysis, reducing the risks of legacy modernization. By eliminating costly, manual discovery, ReDuX enables precise, efficient design of cloud-native architectures on AWS.
- Accelerated Modernization with Generative AI: Powered by Amazon Bedrock, ReDuX AI-driven modernization agents perform rapid, in-depth analysis of legacy systems, providing early visibility into complex architectures. This accelerates modernization timelines and ensures a seamless, efficient transition to scalable AWS cloud-native solutions.
- AI-Enabled Transformation Management: The ReDuX Verifier Agent organizes legacy system data into actionable user stories, automated test scripts, and data migration workflows. This ensures functional equivalence between legacy and modernized systems, enabling risk-free, incremental modernization while maintaining business continuity.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Self Hosted | ReDuX Platform (Self-Hosted) | $1,500.00 |
Tenant | ReDuX Platform (Cloud Tenant) | $4,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Input Units | Karsun ReDuX Blueprint Input Unit | $0.09 |
Output Units | Karsun ReDuX Agent Output Unit | $0.05 |
Dimensions summary
ReDuX pricing combines usage-based and platform dimensions under a contract. You pay for Input Units, measured as Blueprint Input Units, and Output Units, measured as Agent Output Units. These usage dimensions scale with how much you process through the AI-driven transformation workflows. Two platform options set how you deploy: Self-Hosted, which runs ReDuX in your own environment, and Cloud Tenant, a hosted instance. You can combine the usage units with the deployment option that fits your setup. Each dimension is billed on its own quantity, so costs track your actual consumption and chosen deployment.
Top-of-mind questions for buyers
An Input Unit is a Blueprint Input Unit, measuring what you feed into the transformation workflows. An Output Unit is an Agent Output Unit, measuring what the AI agents produce. Each is counted and billed on its own quantity, so both meters run separately.
Self-Hosted runs the ReDuX Platform in your own environment. Cloud Tenant provides a hosted instance managed for you. Each is a separate platform dimension billed by its own quantity. You choose one deployment and pair it with your Input and Output Unit usage.
The platform dimension (Self-Hosted or Cloud Tenant) sets how you deploy and is billed on its quantity. Input Units and Output Units scale with how much you process through the transformation workflows. All applicable dimensions bill independently and appear together, so heavy processing raises the usage portion.
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Karsun’s ReDuX Professional Services empower federal and commercial organizations to modernize their legacy and mainframe applications using AI and Machine Learning powered by Amazon Bedrock. With extensive modernization expertise and a proven toolkit, ReDuX accelerates cloud adoption through automated code conversion, architecture mapping, and DevSecOps enablement. We help customers unlock the full value of AWS with secure, scalable, and compliant modernization solutions, addressing the challenges of outdated legacy systems that hinder innovation and business transformation. Modernizing with ReDuX enhances agility, improves customer experience, and lowers costs. Trusted by leading agencies and enterprises, Karsun delivers a seamless path to the cloud.
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