Tweezr helps financial institutions evolve complex legacy systems - without the risks, cost, or disruption of large-scale modernization. Most banks and insurance companies rely on decades-old codebases (COBOL, Java, C++, PL/SQL) with logic that is poorly documented and extremely difficult to change safely. This slows down innovation, increases operational risk, and makes even small changes expensive.

Tweezr solves this by creating a precise, on-premise model of your existing system logic and transforming it into explainable, navigable, and testable workflows. This enables teams to build new features, refactor logic, or migrate safely - while leveraging, not replacing, their existing core.

Tweezr plugs into your environment without replacing any existing systems. It operates fully on-premise and analyzes codebases to construct a high-fidelity model of your system’s business logic, data flows, dependencies, and hidden rules.

Once the model is created, Tweezr layers agentic AI workflows on top that allow your teams to:

• Understand how logic works across modules

• Map dependencies and identify affected areas before making changes

• Automatically generate documentation, tests, and change-impact analysis

• Design new functionalities using existing system logic as building blocks
  

There is no runtime dependency and no need to rewrite code. Tweezr works alongside your systems, not instead of them.

Most institutions see value within days of deployment. Because Tweezr doesn’t require core changes or data access, onboarding is straightforward: once connected to your codebase, the system model begins to take shape immediately.

Typical timelines:

• Day 1 - 3: Initial system model, dependency mapping, and logic exploration

• Week 1: Agentic workflows for documentation, mapping, and impact analysis

• Weeks 2 - 4: Teams begin using Tweezr to design and deliver real change requests
  

Tweezr is built to deliver measurable outcomes early - whether it’s accelerating change requests, reducing risk, or uncovering hidden logic.

No. Tweezr never sees, copies, or processes customer data. Tweezr operates entirely on-premise and analyzes code, not data. The model it generates is built from your system’s logic, structures, and dependencies - not from any production data.

Additionally:

• No customer data is transmitted outside your environment.

• No external AI services are used.

• Tweezr does not require access to production databases.

• All processing stays within your secured infrastructure.
  

Your data remains fully within your control at all times.