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Coralogix Acquires AI Monitoring Platform Aporia to Strengthen ML Observability Solutions

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

Aporia

Aporia Team (Company pic)

Aporia, an Israeli startup that offers an artificial intelligence AI observability platform that lets developers monitor their AI tech and keep it safe, has been acquired by Israeli data analytics company Coralogix.

Liran Hason, CEO of Aporia, and Alon Gubkin, Aporia’s CTO, will be leading Coralogix AI. The entire Aporia team will move to Coralogix’s offices, where the technology they developed will be integrated, and the number of employees will be doubled in the next two years.

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.

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Founded in 2019, Aporia has become a trusted platform for safeguarding AI systems, including generative AI (GenAI) and classic machine learning. Its customer base spans startups and Fortune 500 companies alike, including Lemonade, DoorDash, MunichRe, Bosch, Sixt, and more. Aporia’s Guardrails and observability solutions help organizations detect and resolve AI errors in real time, ensuring reliable and secure AI deployment.

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.”

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.

“This acquisition is a significant step for us. Using Aporia’s technology and expertise, hundreds of AI teams already using Coralogix today will be able to enjoy high-quality visibility, protection, and control over their AI systems.” said Coralogix CEO Ariel Assaraf. CTO Yoni Perin added, “This expansion strengthens Coralogix’s commitment to taking our AI strategy and delivering the best tech to our customers. Our new research center will foster AI innovation and collaboration, providing our clients with the tools and environment needed to drive the future of AI systems.”

Founded in 2014, Coralogix helps software companies avoid getting lost in their log data by automatically figuring out their production problems. The company says that they machine learning powered platform turns “your cluttered log data into a meaningful set of templates and flows. View patterns and trends, and gain valuable insights to stay one step ahead at all times!”

“Aporia has always been dedicated to helping organizations trust and safeguard their AI systems,” said Liran Hason. “Joining Coralogix as Coralogix AI allows us to accelerate our mission of delivering security, reliability, and transparency to AI deployments globally.”

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