Thoras.ai: Cloud Workload Scaling And Anomaly Detection Company Raises $1.5 Million

By Amit Chowdhry • Mar 29, 2024

Thoras.ai announced the successful closure of a $1.5 million pre-seed funding round. The funding round was co-led by Storytime Capital and Focal VC, with participation from Hustle Fund, Precursor Ventures, the Pitch Fund, and strategic angel investors.

The funding round will drive the rapid product development of Thoras.ai’s platform to optimize and strengthen enterprise cloud computing.

Thoras.ai was created out of a necessity recognized by its founders, who brought together their diverse backgrounds in reliability engineering and machine learning to address enterprises’ challenges in scaling their cloud workloads and monitoring services effectively.

Nilo Rahmani has software engineering experience at Slack and Goldman Sachs. And Jen Rahmani, a former software engineer for the DoD’s largest AI Surveillance program, realized that relying solely on intuition was insufficient for maintaining cloud services – critical and costly assets for companies to manage.

Thoras.ai aims to enhance cloud service reliability and efficiency through predictive algorithms, providing continuous optimization at scale. Utilizing machine learning, Thoras.ai can autonomously forecast the needs of cloud workloads and offer users recommendations on optimizing services and preventing system failures.

The company’s proactive approach to scaling and monitoring workloads has demonstrated significant benefits for system uptime while reducing cloud costs by up to 50% compared to static policies.

With this funding round, Thoras.ai is prepared to solidify its position as a leader in cloud workload optimization and predictive scaling, providing enterprises with the tools they need to thrive in an increasingly digital world.

KEY QUOTES:

“We believe Site Reliability Engineering is an art, and every artist requires a quality toolkit. With the support of our investors, we’re excited to embark on our mission to transform infrastructure management with proactive decision-making capabilities and reduced dependence on overprovisioning. This funding will enable us to accelerate the development of our platform, bringing predictive insights and optimization to container-based environments, and ultimately helping our customers save both time and money.”

  • Nilo Rahmani, CEO of Thoras.ai

“We are excited to partner with Thoras.ai on their mission to transform cloud workload management. Nilo and Jennifer’s top tier blend of expertise combined with their cutting-edge technology will make a significant impact on business computing.”

  • Neil Grunberg, Managing Partner of Storytime Capital

“We’re thrilled to join Nilo and Jennifer on their journey to fundamentally transform how companies approach cloud reliability and scaling away from heavily manual auto-scaling towards intelligent, machine driven autonomous scaling.”

  • Pascal Unger, Managing Partner of Focal VC