Machine learning software maker Deepchecks has landed a healthy $14 million seed round. Company executives also took the opportunity to announce that they are adopting an open source model of monitoring.
Alpha Wave Ventures led the funding, with participation from Hetz Ventures and Grove Ventures.
Of the two announcements, the closing of the seed round and the start of community monitoring, Deepchecks is clearly more excited to talk about the software. In fact, it’s hard to find detailed information about seed rounds.
However, the decision to open source has taken a detailed page and GIFs from the old TV show Friends.
Deepchecks software that validates and monitors errors, biases and unintended harm in artificial intelligence and machine learning models is intended to guide projects from development to operation.
The company says its primary focus is to “transform how machine learning (ML) models are validated.”
Deepchecks plans to make its machine learning monitoring software generally available later this month.
Company executives admit they were surprised at how quickly large-scale language-model-based software was embraced by those who still feel they know enough about AI, especially those who aren’t data scientists.
Article topics
Deep Check | Fundraising | Machine Learning | Open Source
