Mapt uses AI to translate data between any ERP systems instantly — SAP, Oracle, NetSuite, Dynamics, and beyond. Every field, every object, every row. And it gets smarter with every migration it runs.
Every ERP migration hides the same tax: someone has to translate thousands of fields from one system to another, by hand, in a spreadsheet.
Move the sliders to match a typical engagement. The math speaks for itself.
Built around how migrations actually run — object by object, with every related file that makes up the object.
Drop a CSV or XML from SAP, Datasphere, or any extraction tool. Mapt handles the messy headers, blank rows, and metadata automatically — no cleanup needed.
Claude reads each field, understands it in context, and maps it to the exact equivalent in the target ERP — with confidence scores and transformation notes. Works across any ERP pair.
Review, adjust if needed, and export a clean translated file ready to load into Oracle. Every row translated, keys kept consistent across related objects.
Days of manual field research collapse into minutes. On a fixed-fee engagement, that time goes straight to your bottom line.
AI doesn't get tired at 11pm before go-live. Consistent, validated mappings every time, with referential integrity preserved across objects.
Every hour Mapt saves is margin recovered on fixed-fee work — or capacity to take on the next client without adding headcount.
Legacy tools rely on hardcoded connectors — every new ERP, field, or version means months of engineering. Mapt reasons about what fields mean, so it learns instead.
| Capability | Mapt | Informatica / Boomi | Manual (Excel) |
|---|---|---|---|
| Time to first mapping | ✓Under 5 min | 9–18 months | Days per object |
| Annual cost | ✓Per-project | $80k–$500k+ | Hidden in hours |
| Setup required | ✓None | Data eng team | Senior consultants |
| Built for project work | ✓Yes | ✕IT departments | ✕Not scalable |
| Native SAP knowledge | ✓Yes | Needs config | ✕Manual research |
| Improves with use | ✓Self-learning | ✕Static connectors | ✕Starts over each time |
Migrations aren't just an IT problem. Finance, ops, sales, and procurement all live in this data — and Mapt makes it simple for every one of them, no technical background required.
Move pricing, conditions, payment terms, and customer master data without a spreadsheet marathon. Your finance team validates the data they own — Mapt handles the translation.
No technical background neededMaterials, vendors, purchase orders, BOMs — the objects ops and procurement teams know cold. Mapt maps the fields so they can focus on the data, not the field codes.
Own your objects, skip the mappingOpen sales orders, schedule lines, partner functions — translated cleanly into the new system so your sales operations don't skip a beat through go-live.
Seamless through go-liveThe firms running the implementation. Recover billable hours on fixed-fee work, hit tighter deadlines, and roll up portfolio companies faster.
~$45k saved per implementationMapt was started by Adam Wess, an SAP functional consultant who spent his career on Fortune 500 implementations — migrating tens of thousands of records, configuring order-to-cash, and living through the late nights of manual field mapping firsthand.
The idea is simple: the people who know the data best — finance, operations, sales, and procurement teams — shouldn't need to decode cryptic field names or wait on a data engineer to move their information into a new system. Mapt was built by ERP consultants, but it's made for everyone who touches the data.
The goal is to make ERP data migration seamless and simple — so the experts can focus on their data, and the technology handles the translation.
Mapt is in early access. We're working hands-on with ERP consulting firms, PE ops teams, and the finance, sales, and operations people who live in the data.
Request early access