Data teams looking to wield the most advanced AI technologies for getting value from their data, especially if some of it is unstructured. Engineers love Graft because they can focus on business outcomes instead of costly infrastructural plumbing; leadership loves Graft because they’ll see results in a fraction of the time using a fraction of the resources; everyone else will love Graft because they can contribute to, and benefit from, AI.

Data. That’s it! Graft includes everything else you need to go from idea to production success.

Graft is named, in part, because you can graft it onto the side of any organization and use it in tandem with your existing data or machine learning stack. Over time, you may find that Graft is sufficient and you can decommission the old tools, but you can do so at your leisure.

We’re not aware of another company making modern AI accessible to every organization. Most vendors are focused on classical AI, characterized by being limited to structured data and involving expensive activities like manual feature engineering, model selection, hyperparameter tuning, and all the machinery that workflow requires. Most vendors are also building mere pieces of the infrastructural puzzle, which are only useful if you have the rest of the pieces and the expertise to assemble them. Graft does away with those prerequisites.

Yes, of course. We’re using it in the botanical or medical sense. It’s also English slang for working hard; that one works, too!.