DataMasque have raised US$4m to solve a critical AI problem: how enterprises can safely use their sensitive customer data to train AI models.

Co-founded by Grant de Leeuw and Greg Daniel, DataMasque generates synthetically identical data that removes privacy risks while keeping data valuable for AI training and testing.

Since their seed round in late 2023, they have tripled headcount and achieved 6x ARR growth, winning customers like New York Life, ADP, Best Western, and government agencies across three countries.

"With a lean team based largely in New Zealand, DataMasque has managed to win highly competitive enterprise deals against far better-resourced global competitors. At a time when companies are trying to work out how to deploy AI safely, we think they’re exceptionally well-positioned. Yes, there are major tailwinds behind the space, but tailwinds alone don't win contracts like the ones DataMasque has secured.” - Bex Gidall, Principal at Icehouse Ventures.

Source: https://www.icehouseventures.co.nz/