About WeTransform

Where it began

Make data import accessible to any business

We saw this pattern at Amazon, at Sellermania, at every marketplace we touched. The same data, arriving in slightly different shapes, again and again. It was not an edge case. It was the default state of the business.

Today we have a name for it. We call it format multiplication.

Why building your own importer no longer makes sense

For the last thirty years, the default response to this problem has been the same. A company receives data from clients, so it builds a file importer in-house. A developer spends a few weeks on the first version. Engineering maintains it as new formats appear. Support handles the edge cases. The client adapts to the company's format, or does not, and the cycle repeats.

This was a reasonable choice when no real alternative existed. Parsing variable data structures required hand-coded rules. Automated mapping was unreliable. Building in-house was cheaper than any external option, because no external option actually worked.

That is no longer true. AI has made it possible to understand unfamiliar data structures without writing rules, to map fields by context rather than exact match, to transform data at scale without a developer in the loop. What used to justify building your own importer, because you had no choice, now just means carrying engineering work that your product does not need to do.

The question to ask in 2026 is not "can we build this ourselves". You probably can. The question is whether you should, and whether the engineering time you spend on it delivers more value than it would elsewhere. For most products, the answer is no.

What we are building

WeTransform is a dedicated layer that sits between incoming data and your system. It understands variation, maps fields automatically, transforms data into your expected format, and scales across clients and partners without manual work.

We think of this as a new category of software, purpose-built for the boundary between your system and the outside world. We call it AI import management, and we think it will become as standard as CRM or ETL over the next decade.

The team

We are a small team with deep operational experience in the problems we are solving.