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- Senser secures $9.5M in funding
Senser secures $9.5M in funding
Introducing Senser, an innovative AIOps platform that utilizes machine learning to combat outages and service degradations. This promising start-up, nestled in the tech-centric city of Tel Aviv, has recently unstealthed with an outstanding seed funding of $9.5M. The round was led by Eclipse, with notable support from Amdocs and private investors.
Senser employs cutting-edge eBPF technology to monitor a company's entire infrastructure. This powerful tech is embedded in the Linux kernel, enabling it to effortlessly scrutinize all application and networking traffic.
Senser's competitive edge lies in its AI capabilities, distinguishing it in a rapidly saturating market.
As Senser's co-founder and CEO, Amir Krayden suggests, gathering data is straightforward, but contextualizing it is where the real battle lies. Senser excels in this aspect - analyzing data and assisting DevOps and site reliability teams in unveiling hidden insights.
Transcending traditional dashboards, Senser provides a panoramic view of a company's infrastructure—whether it's on-premises virtual machines, cloud-based services, Kubernetes clusters, microservices—focusing primarily on production environments.
Senser's origins lie in a friendship between Amir Krayden, Yuval Lev, and Or Sadeh. After serving in the Israel Defense Forces and a stint at DriveNets, a networking company, they decided to venture on their own.
Senser's aim? To reduce alert fatigue and streamline operations teams' workflows. Senser's alerts come with a clear explanation of the issue, its significance, and a trace of how the conclusion was reached.
Lior Susan, founding partner of Eclipse, praises Senser for its unique problem-solving approach, particularly with Industrial 4.0 apps and drone-based mapping applications.
Senser is currently in expansion mode, with a focus on recruitment for marketing roles in the U.S. As per Krayden, a compelling product story and its global projection are as crucial as the product itself.