Lots of companies trying to build low-code solutions to help business people glue systems together. However, for pretty much all of these solutions, while the end user isn't writing code, they are forced to think like a programmer - if/else, loops etc.
We are taking a very different approach.
We've built a transform engine that can be trained on transforming data from a source structure to a destination structure using a few (10s) of examples of source and destination. We can do this transformation without falling into the trap of figuring out acceptable confidence levels - a trap that most ML systems fall into, and thus have a hard time with enterprise usage.
We couple that with dynamic, configurable integration infrastructure ("connectors" in old school enterprise speak) that can send+receive data to/from lots of systems over many protocols and serialization systems.
End result is that end users can connect systems together with a few clicks and by providing a few lines fo training examples, not unlike what a business person would give a dev and say "extract a CSV from SAP and put it in that FTP folder. the CSV needs to look like this file"
That is the failure of every ORM and visual programming tool I have seen.
(But i happen to think that being forced to think like a programmer is good - on the order of being forced to think like a literate person would have been a few hundred years ago)
