Our Solution
Reclaim your core.
Understand it, own it, evolve it.
Tweezr turns your legacy core into a deterministic, queryable map, so your team and your AI know exactly what breaks before you change a thing. No guessing, no archaeology, no surprises.
Business impact, fast.
Concrete jobs your team can do this week, on a system no one fully remembers.
Place any change with confidence
Scope a feature and see exactly where it lands across programs, data, and flows, even in a system you have never seen before.
Resolve incidents in minutes
Trace root cause precisely by evidence, not tribal memory, and fix it fast without waiting on the one person who remembers.
Optimize flows, cut run-cost
Surface redundant and dead logic in existing flows, and streamline what you actually run.
Move only what is worth moving
When a specific workflow genuinely belongs elsewhere, evolve it fit-for-purpose, and only after the change is proven low-risk.
Everyone's selling you a way off the mainframe.
We deliver business impact tomorrow.
The market offers you three boxes, and pressures you to pick one before you understand what you actually have. Every one of them starts by acting on a system nobody fully understands.
A multi-year, big-bang bet: expensive, high-risk, and rarely a better outcome for your customers.
You move the logic, and all of its risk, without ever understanding it first.
Ungrounded answers: uncited, inventing dependencies that don't exist, and your code leaves the perimeter.
Tweezr is the step before any of those choices. We make your core readable, queryable, and trusted, so you decide from evidence, not from a vendor's roadmap. And most of the time, the smartest, lowest-risk move is to evolve it right where it is.
AI you can trust, on truth you can prove.
A deterministic system map, built on-prem, then AI grounded in it. Cited, re-runnable, and your code never leaves.
Map
We ingest your estate on-premise and build a deterministic map: every program, job, field, dependency, and business rule. No model required, and nothing leaves your perimeter.
Understand
We layer business meaning over the map: rules, flows, and decision tables your engineers and your AI can read, traverse, and edit.
Answer
Your AI answers grounded in that map, cited to the exact program, paragraph, and field, and re-runnable. No invented dependencies, no confidently-wrong refactors.
The Billing Engine is one program inside the Billing System. It reads from Customer Data each cycle and runs as part of the Bill Payment Flow, so any change to its outputs ripples through the flow and every downstream consumer of that data.
Every answer is re-runnable and audit-ready.
Your code and data never leave the perimeter.
Business logic you can read, traverse, and edit.
The mainframe - and everything legacy around it.
From COBOL to modern Java - one platform that maps your full estate, end to end.
Legacy platforms
Mainframe · z/OS
The mainframe, fully mapped
IBM z-Series - the heart of most banking back-offices. Full coverage across TP monitors, batch languages, data and screen layers. Every program, copybook, and queue resolved into one navigable graph.
TP / online monitors
Batch languages
Data
Schema / screens
Example lineage trace
From a CICS green screen, follow a payment through a COBOL transaction, into DB2 z/OS, and out via MQ to a Java microservice - every hop with attested provenance.
Generic LLMs guess at COBOL because they've never seen the calling graph. Tweezr reads it.
Where the legacy lands →
Cross-platform
The understanding layer the rest of your stack is missing.
Swipe to see the full chart
| Generic AI copilots | Static code analysis | Consultancies | Tweezr | |
|---|---|---|---|---|
| Deterministic, cited & re-runnable answers | ○ | ◐ | ○ | ● |
| Explainable impact analysis ("what breaks if…") | ◐ | ◐ | ◐ | ● |
| Business rules & flows as editable models | ○ | ◐ | ○ | ● |
| Built to evolve the core, in place | ◐ | ◐ | ◐ | ● |
| Runs on-prem, code never leaves | ◐ | ● | ◐ | ● |
| Productized & self-serve, not services-heavy | ● | ◐ | ○ | ● |
More grounded than AI-only, more scalable than consulting, more change-ready than static discovery. ● full · ◐ partial · ○ none
See Tweezr turn a system like yours into a model you can trust, then decide your path from there.