Mainframe modernization, delivered as software.

Application inventoryWhat you have and how it connects, in weeks.

Dependency mappingWhat breaks, answered before it moves.

PipelinesGenerated, then reviewed by engineers.

Under change controlThe rigor does not change. The clock does.

The mainframe is not the bottleneck. The process around it is.

Your z/OS applications work. What does not work is waiting a quarter for a release, testing manually, and finding out what broke in production.

Fixing that has always been possible. It has just been priced as a two year program with a large team, because the discovery, the dependency analysis, and the boilerplate had to be done by people. That part no longer does.

The program still happens. Same rigor, same change control, less of your team's time.

Software handles the scale. Engineers handle the decisions.

Capability Software handles Engineers handle

Application inventory

SoftwareCatalogs every program, job and copybook, builds the call graphs, and finds what is dead.

EngineersDecide what is in scope, and what gets left exactly where it is.

Dependency mapping

SoftwareTraces what depends on what, across languages and across decades.

EngineersJudge which of those dependencies are a real risk to the release.

Source control migration

SoftwareMoves history, branches and the access model into Git without losing the trail.

EngineersDesign the branching model your teams will actually live with.

CI/CD pipelines

SoftwareGenerates the build, deploy and rollback pipelines for z/OS.

EngineersSet the approval gates with your change board before anything runs.

Code analysis and refactoring

SoftwareSurfaces duplication, dead code and the hot spots that keep breaking.

EngineersDecide what is worth refactoring, and what earns nothing but risk.

Observability

SoftwareInstruments the systems and correlates signals across the mainframe and around it.

EngineersChoose the thresholds your on-call team will act on at three in the morning.

The first six months, compressed.

The discovery, the dependency analysis and the boilerplate used to fill the first six months of a program. Argo for Z does that work in a couple of weeks, and every change is reviewed and approved before it lands, by our engineers and by yours.

That is what makes this a product rather than a staffing plan.

Priced per outcomeAgainst a defined result and a date.

Vendor neutralWe work alongside the major mainframe vendors and name no one's SCM.

A documented methodBuilt across programs in production. Our engineers walk you through it in the first call.

Book a session

We start with one release train and prove it end to end.

/01

Take inventory

What you have, what depends on what, and what nobody has touched in a decade.

/02

Prove one train

We migrate a single application and run it end to end before anything else moves.

/03

Scale the pattern

The proven pattern rolls across teams, with your engineers doing more of it each time.

/04

Hand it over

Your people run it. We stay only as long as we are useful.

What CIOs ask us first.

Do we have to rewrite in Java?

Usually not, and most applications need far less rewriting than the last vendor told you. We refactor where it earns its cost and leave the rest alone.

How does this pass audit?

Every generated artifact is reviewed and approved by a named engineer before it lands, and the trail is complete. In practice the resulting evidence is better than a manual process produces.

What about our existing SCM vendor?

We work alongside the major mainframe vendors and we do not name the tools we migrate from. Your incumbent is not our target.

What if nobody knows how it all fits together?

Nobody ever does. That is what the inventory step is for, and it is the part where software beats people by the widest margin.

Start with a
conversation.

One conversation with our engineers, not a discovery phase. If we are not the right firm for the work, we will say so in the first meeting.