Tweezr on the IBM Z and LinuxONE Ecosystem Podcast
Ohad Kotler joins IBM's z/Action! series: agentic root-cause analysis, tested fixes, and why AI transformed software everywhere except the banking core.
System-Intelligence for financial core systems.
You can't replace 40 years of business logic -
and you shouldn't have to.
Trusted by
Working alongside the platforms banks already rely on.




The IBM Technology Partner mark is a trademark of International Business Machines Corporation, registered in many jurisdictions worldwide.
Trusted by
Working alongside the platforms banks already rely on.


The IBM Technology Partner mark is a trademark of International Business Machines Corporation, registered in many jurisdictions worldwide.
Why Tweezr
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.
Three steps from raw code to grounded answers: map the estate, layer on business meaning, ask anything - every answer traced to the code behind it.
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.
We layer business meaning over the map: rules, flows, and decision tables your engineers and your AI can read, traverse, and edit.
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.
Every answer is re-runnable and audit-ready.
Your code and data never leave the perimeter.
Business logic you can read, traverse, and edit.
Why not just Copilot or Claude Code?
On a 40-year-old core, AI agents guess. Tweezr is the verified, system-level map they stand on - the ground truth Copilot and Claude Code consume.
One verified map - fed to every agent you already use
AI agents alone
Confident, fluent - and wrong, with nothing underneath to catch it.
AI agents on Tweezr
The same agent, reading from one verified map - answers it can prove.
Three roads, every one starting blind - and the one capability underneath them all.
The roads you’re told to choose between
Locked in. Delivery slows, risk compounds, and the know-how walks out the door.
New layers on top - complexity compounds over a core that never leaves.
A clean slate, sold as a multi-year, big-bang gamble.
Tweezr isn't a third road - it's the ground beneath all of them. Decode the core first, then evolve it your way. Predictable, evidence-backed, low-risk.
<30 minutes
to onboard a developer via natural language interface
Zero
customer data/PII exposure - nothing leaves the bank's landing zone
<45 min vs. weeks
for process archeology that used to take weeks
<10 minutes
to identify root cause of incidents
1 - 4 weeks
On-prem deployment
100%
of answers cited to the exact program, paragraph, and field
What clients say
Minimal red-tape, going deeper only on your terms
Use our hosted environment with our sample code. Sign in and try the deterministic engine end-to-end with zero setup or data sharing.
What will I get?Share your code into our environment. No infrastructure to stand up - see Tweezr work on your real systems and assess fit on your terms.
Does it actually work?Deploy Tweezr on a single machine using your existing AI licenses, or run it inside your own cloud - your code never leaves your perimeter.
Will my team speed up?Run Tweezr as a container on Linux on IBM Z or IBM LinuxONE - co-located with the core it maps, inside your own perimeter.
Can it run on my mainframe?Ohad Kotler joins IBM's z/Action! series: agentic root-cause analysis, tested fixes, and why AI transformed software everywhere except the banking core.
Tweezr recognized for innovation in legacy system modernization at the premier fintech conference in London.
Selected for the ABN AMRO-sponsored accelerator program, validating our approach to legacy system evolution.
Secure your system's future with the system-intelligence platform for safe legacy change.