AI Modernization Companies
A neutral market map of companies delivering ai modernization, plotted by modernization approach and supplier layer. Alphabetical, never ranked or scored.
Compare ai modernization companies
Filter by what a company migrates from, its modernization approach, supplier type, team size, or region. Listed alphabetically, never ranked, scored, or rated. We currently have no sponsors. Vendor inclusion, recommendations, and highlights are editorial decisions based on documented evidence.
The lists show recorded source and target technologies. They do not prove delivery of every combination. Follow the public evidence links to the checked claims below. “Public sources not reviewed here” means we have not checked those claims; it is not a judgment of the supplier’s performance.
| Company | Recorded source → target coverage | Approach | Type | Team size | Region | Public evidence kind | |
|---|---|---|---|---|---|---|---|
| Amazon Q Developer | From: Java, .NET | Replatform | Product or platform | — | — | Public sources not reviewed here | 0 internal relationship records |
| GitHub Copilot | Java, .NET, C++ to Azure | Replatform | Product or platform | — | — | Public sources not reviewed here | 0 internal relationship records |
| IBM watsonx Code Assistant for Z | From: COBOL, PL/I | Refactor | Product or platform | — | — | Public sources not reviewed here | 0 internal relationship records |
The count covers this site’s migration and service links for each company, listed under its entry. It does not count verified case studies or successful projects.
The checked public sources, scoped claims and limits for suppliers across hubs are published as an open vendor evidence dataset with CSV and JSON downloads.
Approach matrix
How AI Modernization companies map to modernization approach
Rows group ai modernization companies by modernization approach, defined in our 7 Rs of application modernization framework; columns separate product vendors from delivery firms.
| Approach | Product | Delivery firm |
|---|---|---|
| Rehostsame code, new infrastructure or emulator | ProductNone documented | Delivery firmNone documented |
| Replatformsame core code, swapped runtime or managed services | Product | Delivery firmNone documented |
| Refactorthe existing code is converted or restructured in place | Product | Delivery firmNone documented |
| Rewriterebuilt from scratch on a new architecture | ProductNone documented | Delivery firmNone documented |
| Replaceswapped for a commercial or SaaS product | ProductNone documented | Delivery firmNone documented |
| Retain & optimizekept in place and improved | ProductNone documented | Delivery firmNone documented |
What each company delivers in ai modernization
One entry per company, carrying only attributes we can point at a source for. Where a company has no published evidence for an attribute, nothing is shown rather than a placeholder.
Amazon Q Developer
PlatformAmazon Q Developer's Code Transformation agent upgrades Java applications from version 8 or 11 to 17 and ports .NET Framework applications to cross-platform .NET, but AWS stopped new Q Developer signups on May 15, 2026 and ends all support on April 30, 2027, shifting these capabilities to the separately branded AWS Transform.
Replatform- Modernizes from
- Java, .NET
GitHub Copilot
PlatformGitHub Copilot's modernization agents, built on Microsoft's Azure tooling, upgrade Java across versions 8, 11, 17, 21, and 25, port .NET Framework and C++ projects to current runtimes, and migrate the result to Azure with generated containers and infrastructure-as-code, with every recommended change left for human review before it ships.
Replatform- Modernizes
- Java, .NET, C++ to Azure
IBM watsonx Code Assistant for Z
PlatformIBM documents COBOL and PL/I application analysis and refactoring, COBOL-to-Java transformation, and generated unit tests comparing Java services with original COBOL code.
Refactor- Modernizes from
- COBOL, PL/I
Market map
Companies to evaluate for AI Modernization
Scope: published ai modernization companies with documented category, migration-path, or service evidence in this research domain.
Last evaluated
208
Published modernization companies reviewed
3
Companies shown for ai modernization
Inclusion criteria: A company must have a published profile and documented category, migration-path, or service evidence in this domain. See the evidence threshold in our research methodology.
How to choose: Start with documented buyer fit (0 profiles) and specialty evidence (3), then narrow by team size (0) and location (0). Open a profile to verify the underlying experience before shortlisting.
This is an alphabetical market map, not an ordinal ranking. Inclusion is based on documented evidence and editorial review.
AI modernization suppliers include model and data platforms, infrastructure and governance tools, and consultancies that redesign applications and operating models around AI capabilities. Platforms should be evaluated by deployment control, model choice, data integration, observability, security, and lifecycle cost. Delivery partners should be evaluated by production AI evidence, modernization depth, data-engineering capability, governance practice, industry constraints, team scale, and location. The alphabetical roster is a set of companies to evaluate by use-case fit, not a claim that one provider is best for every program.