AI Modernization Companies

A neutral market map of companies delivering ai modernization, plotted by modernization approach and supplier layer. Alphabetical, never ranked or scored; paid Featured placements are labeled and do not change the ordering.

Updated ·Peter Korpak·Methodology

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. “Featured” is a labeled paid slot and does not change the ordering.

Migrates from:
Approach:
Supplier type:
Team size:
Region:
AI Modernization company comparison: source stack, approach, supplier type, team size, region, and documented evidence
CompanyApproachTypeTeam sizeRegion
Amazon Q Developer
Replatform
Platform0 documented sources
GitHub Copilot
Replatform
Platform0 documented sources
IBM watsonx Code Assistant for Z
Refactor
Platform0 documented sources

“Documented evidence” counts the migration paths and services in this domain where we hold a relationship record for that company — each one links to the page it came from, under the company’s entry below.

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.

Replatform is the most common approach here, documented by 2 of 3 companies in ai modernization.
ApproachProductDelivery firm
Rehostsame code, new infrastructure or emulatorProductNone documentedDelivery firmNone documented
Replatformsame core code, swapped runtime or managed servicesProductDelivery firmNone documented
Refactorthe existing code is converted or restructured in placeProductDelivery firmNone documented
Rewriterebuilt from scratch on a new architectureProductNone documentedDelivery firmNone documented
Replaceswapped for a commercial or SaaS productProductNone documentedDelivery firmNone documented
Retain & optimizekept in place and improvedProductNone documentedDelivery 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'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'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's watsonx Code Assistant for Z auto-refactors COBOL and PL/I into Java and auto-generates unit tests that check semantic equivalence against the original COBOL, but it works only inside an IBM Z development environment and every converted program still needs a developer's review before release.

    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

Platforms 3

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. Paid Featured placements are labeled and do not imply a recommendation.

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.