Platform — how does it work?

We taught modern computers to speak your mainframe's language.

Your programs never needed to change. Only the machine underneath them did.

01 — The trick

Your code was never the problem.

Your programs are written in languages like COBOL. The applications still run the business. The problem is that they remain tied to legacy platforms and environments.

Everyone else attacks the code: rewrite it (years, and it usually fails), auto-translate it (code nobody wrote, nobody trusts), or run a fake mainframe somewhere else (same cage, new address).

We target the machine instead. Our compilers let your existing programs run natively on modern Linux infrastructure — the application source and business logic stay intact, while existing data and application semantics are preserved.

02 — What actually happens

A project, step by step.

1
We look at a copy

Assessment, build and testing run on copies of your applications and data, without modifying the production workload.

2
The compiler builds them

It reads your COBOL, PL/I and JCL as-is and produces programs a modern computer runs natively. Nothing is rewritten.

3
Both run side by side

Old system and new system process the same work. We compare the results until they match — transaction for transaction.

4
You switch — when ready

You move over piece by piece, at your pace. The same code is then open to modern languages, APIs and AI.

03 — Open to what comes next

Your legacy becomes part of the modern technology ecosystem.

Once a legacy workload is running within SHIFT, it is no longer isolated by the mainframe environment. Existing applications, data and development assets can participate in modern architectures without first being rewritten.

Modern applications & APIs

Build new applications and services around existing functionality and data through modern interfaces — while the existing workload continues to operate.

AI access

Give AI tools and agents controlled access to selected application functionality, data and context through defined interfaces.

AI-assisted modernization

Allow AI development tools to work with source, dependencies, tests, APIs and development environments to help understand, document, test and progressively modernize applications.

04 — Does it cover your stack?

Works with what you have.

Languages & environments
COBOLPL/ICA GenNaturalAssemblerJCLREXXCICS, IMS DCBatch
Data & transactions
Sequential / VSAM / GDGDb2IMS DBAdabasOracleCICSIMS DCMQControl-M / CA7
Runs on
LinuxOn-prem
AWSAzureGoogle Cloud
DockerKubernetes
ContainersMicroservices

Something of yours not listed? Contact us — there is more we support.

Contact us →

Want to see your code run?

Bring a slice of your programs and data. We'll run a small proof of concept — real code, real results — then we talk about the rest.