Is there a line connecting machine learning observability to explainability, leading to responsible AI? Aporia, an observability platform for machine learning, thinks so. After launching its platform in 2021, and seeing good traction, Aporia today announced a $25 million Series A funding round. Aporia CEO and co-founder Liran Hason met with VentureBeat to discuss Aporia's vision, its inner workings and its growth. Hason, who founded Aporia in 2019, has a background in software engineering. After a five-year stint in the elite technological unit of the Israeli intelligence forces, he joined Adallom, a cloud security startup that was later acquired by Microsoft.

Machine learning (ML) models are only as good as the data you feed them. That's true during training, but also once a model is put in production. In the real world, the data itself can change as new events occur and even small changes to how databases and APIs report and store data could have implications on how the models react. Since ML models will simply give you wrong predictions and not throw an error, it's imperative that businesses monitor their data pipelines for these systems. That's where tools like Aporia come in.