Puppr runs inside a private sandbox in your own cloud tenant, reads your legacy SAP metadata without ever touching a live record, and generates the clean-core code and cutover pipelines your migration actually needs — not a slide deck.
$ zero rows transferred · zero PII in transit · runs where your data already lives
Puppr doesn't ask you to trust a vendor cloud with your landscape. The sandbox deploys inside infrastructure you already control — your legacy system never leaves your perimeter.
Legacy production system. Never modified, never copied.
Knowledge graph, codegen, and cutover engine — deployed and isolated inside your VPC.
Every SAP migration hits the same four walls — usually around month 14.
Decades of Z-programs hold business logic and compliance controls that can't just be dropped — but rewriting blind is how budgets double.
#1 cited cost driverMES, WMS, CRM, banking EDI, BI — most wired directly into ECC. Miss one and a warehouse stops shipping.
avg. 1,000+ / large orgInterface and cutover jobs can show green while quietly writing zeros or malformed records — invisible until someone opens the data.
common in RISE cutover testingAny tool that needs a copy of production data adds a compliance review most security teams won't fast-track.
kills vendor eval cyclesOne sandbox, deployed once, running the full pipeline inside your tenant.
A lightweight, read-only extractor pulls empty schemas and custom object metadata only — never records, never PII.
Puppr's agentic engine maps every custom object, interface, and dependency into an interactive, explorable graph of your real landscape.
Custom logic worth keeping gets rewritten as modern, cloud-native BTP extensions — reviewed by your team, not buried in a PDF.
Puppr writes the Apache Airflow pipelines for your cutover — programmatically, without our platform ever touching live data.
The sandbox extractor cannot write to your production system. It has no permission to.
Empty schemas and object definitions are extracted — not a single row of customer or transactional data.
The knowledge graph and generated code live in infrastructure you control — not a third-party datastore.
Airflow pipelines move your data at cutover — Puppr designs the pipeline, your infrastructure executes it.
What actually leaves your tenant, in real time:
That's a fine incentive for SAP. It's the wrong incentive for you.
| capability | sap-native rise tooling | systems integrator (manual) | puppr |
|---|---|---|---|
| Reads custom Z-code & builds dependency graph | partial | manual, months | automated |
| Runs in an in-tenant private sandbox | no | n/a | yes |
| Works if you're evaluating a non-SAP target | no | yes, slow | yes |
| Data-blind guarantee — zero rows transferred | not guaranteed | depends on team | by architecture |
| Auto-generates clean-core code extensions | limited | fully manual | automated |
| Independent of SAP's commercial incentives | no | yes | yes |
We're taking on a small number of design partners ahead of the 2027 deadline — hands-on engineering access, preferred terms, and a free landscape scan in week one.