AppIQ – AWS-Native AI Platform for Legacy Modernization
LTM · Software Development
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AppIQ accelerates legacy application modernization by combining an AWS native, event driven architecture with generative AI–driven intelligence. Built entirely on AWS, AppIQ establishes a validated structural context using CAST (industry-recognized software platform for performing structural analysis on static code) analysis, providing a deterministic foundation that constrains agent reasoning, improves accuracy, and optimizes token usage. The platform orchestrates agent based workflows as a first class engineering discipline, powered by a Bedrock AgentCore–based architecture, to extract business rules, process flows, and functional specifications at a deep, code bundle level. These outputs are tailored to the decision needs of key personas across the modernization value stream from architects and analysts to developers and delivery teams.
By exposing this curated legacy knowledge through MCP and integrating seamlessly with developer tools such as VS Code and AI pair programmers (for example, Kiro), AppIQ enables forward engineering without disrupting existing development ecosystems, reducing risk while accelerating modernization from legacy stacks to cloud native architectures.
Highlights
Highlighted by the publisher on AWS Marketplace.
Accelerated modernization of COBOL, RPG, legacy Java, and .NET applications into cloud native architectures. Persona aligned insights and artifacts tailored to the decision needs of legacy developers, BAs, architects, and modernization stakeholders across the value stream.
Validated structural context powered by CAST (industry‑recognized platform for structural analysis of static code), providing a deterministic foundation that constrains agent reasoning and optimizes token usage. Agent engineering as a first class discipline, enabled through a Bedrock AgentCore–based architecture.
Improved coverage and accuracy of technical baseline and functional specifications through a bundle level code analysis combining breadth and depth. Optimized developer flow via seamless integration with the existing development ecosystem using MCP and VS Code extensions.
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.
Vendor
External enrichment · as of 2026-08-28
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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