Aporia, an Israeli startup that offers an artificial intelligence AI observability platform that lets developers monitor their AI tech and keep it safe, raised $25 in a million Series A round of funding led by Tiger Global. Just last April Aporia raised $5 million in a seed round from Vertex Ventures and TLV Partners, giving it $30 million in total funding to date.
The future is in artificial intelligence. People fear this because they see examples of AI run amok in science fiction like the Terminator movies and the Matrix films. But in reality AI just means letting computers figure things out for themselves. This means that they can be more helpful whether for making medical diagnoses or determining a proper course of action in engineering or software design.
Aporia declares that it empowers data scientists to take control of their machine learning models’ performance in production. “With a robust, friendly monitor builder,” says the company, “the Aporia platform allows them to quickly create, update and maintain ML monitors that track and detect various types of performance issues and data drift. When an issue occurs, Aporia reports it on various channels and provides context for further investigation.”
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A machine learning model, as explained by Microsoft, is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data. Once the model has been trained a user can use it to reason over data that it hasn’t seen before, and make predictions about that data.
Aporia boasts that it is the first company to offer deep customization capabilities for model monitoring with full support for public cloud and managed-on-prem, allowing data science teams to build the exact monitors they need for their use cases. Aporia is used by multi-billion dollar companies for monitoring billions of daily predictions and maintaining data integrity. Founded in 2020, Aporia is backed by TLV Partners and Vertex Ventures.
“When I’m looking at our solution right now, it includes four main pillars,” Aporia co-founder and CEO Liran Hason explained. “The first one would be visibility — like dashboarding, being able to see the predictions and so on. The second one, which is pretty new, is explainability. We have some users using that already. Then the monitoring and finally automation, which is also new.”