San Francisco, March 26, 2024–(BUSINESS WIRE)–Thoras.ai today announced the successful completion of a $1.5 million pre-seed funding round. The investment round was co-led by Storytime Capital and Focal VC, with participation from Hustle Fund, Precursor Ventures, Pitch Fund, and strategic angel investors. The funding will facilitate rapid product development of the Thoras.ai platform to optimize and power enterprise cloud computing.
Thoras.ai was founded on a need recognized by its founders, who brought together diverse backgrounds in reliability engineering and machine learning, to address the challenges enterprises face in effectively scaling cloud workloads and monitoring services. Born from sex. Nilo Rahmani, who has experience in software engineering at Slack and Goldman Sachs, and Jen Rahmani, a former software engineer for the Department of Defense’s largest AI surveillance program, discuss how to maintain cloud services, which are critical and expensive assets for enterprises. , I realized that relying only on intuition is not enough. management.
Thoras.ai aims to enhance the reliability and efficiency of cloud services through predictive algorithms and provide continuous optimization at scale. Thoras.ai leverages machine learning to autonomously predict the needs of cloud workloads and provide users with recommendations on how to optimize services and prevent system failures. Thoras’ approach to proactively scaling and monitoring workloads has demonstrated significant system uptime benefits while reducing cloud costs by up to 50% compared to static policies.
“We believe that site reliability engineering is an art, and every artist needs a high-quality toolkit. With the support of our investors, we believe that site reliability engineering is an art and that every artist needs a high-quality toolkit. We are excited to embark on our mission to transform infrastructure management by reducing dependencies,” said Nilo Rahmani, CEO of Thoras.ai. “This funding will enable us to accelerate the development of our platform and bring predictive insights and optimization to container-based environments, ultimately saving our customers both time and money.”
Thoras.ai’s innovative approach to cloud workload management has garnered attention from both industry leaders and investors. said Neil Grunberg, his partner in managing Storytime Capital. “Niro and Jennifer’s combination of first-class expertise and cutting-edge technology will have a significant impact on the computing business he operates in.”
Pascal Unger, Managing Partner at Focal VC, said: “Our vision is to fundamentally transform the way enterprises approach cloud reliability and scaling, from manual-heavy autoscaling to intelligent, machine-driven autonomous scaling. , we are thrilled to be a part of Nilo and Jennifer’s journey.”
With this new round of funding, Thoras.ai solidifies its position as a leader in cloud workload optimization and predictive scaling, poised to provide enterprises with the tools they need to succeed in an increasingly digital world. I’m arranging it.
About Thoras.ai
Thoras.ai provides AI-driven scaling and anomaly detection for cloud workloads. Thoras.ai intelligently minimizes unpredictability and increases reliability for cloud enterprise customers through demand-predicted autonomous scaling and proactive monitoring and alerting. For more information, please visit https://thoras.ai/.
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