Engineers Nilo and Jen Rahmani found themselves consistently facing network reliability frustrations in their work, specifically concerning costs associated with cloud usage. As the industry began highlighting the significance of cloud costs, they seized the opportunity to fill the gap, launching Thoras – a platform aimed at establishing cloud reliability whilst curbing overspending.
Thoras, a Washington, D.C based startup, leverages AI to assist engineers in quickly identifying and resolving software disruptions. Furthermore, it aids enterprises in uncovering optimization possibilities within reliability, subsequently reducing cloud expenses. The company claims that it can accelerate issue detection and resolution by 70% compared to conventional methods, as well as save companies up to 60% on cloud costs.
Unlike the competition, Thoras’ approach to AI is unique. It utilizes smaller models, offering clearer ROI, while it’s competitors are leveraging larger language models (LLMs), which may result in companies overconsuming resources.
Since unveiling in January 2024 and bagging $1.5 million in a pre-seed round that March, Thoras’ revenue has grown 360% over nine months. To keep up with increasing demand, the company recently raised $5 million in a seed round.
While currently focused on Kubernetes environments, Thoras plans to extend its reach to other types of cloud software in future product expansions. Despite initial parental concerns, the Rahmani twins’ innovative platform has proven to be a gamechanger in the tech industry, revolutionizing cost-efficiency and reliability in cloud services.
Original source: Read the full article on TechCrunch
