Cloudfactory Usa LLC

CloudFactory Limited specializes in providing AI-centric data solutions, transforming unstructured data into actionable intelligence for businesses across various sectors, including healthcare, finance, and logistics. Founded in 2010 in Durham, US, CloudFactory Limited focuses on bridging the gap between raw data and business insight. The company has secured a total of USD 65 mn across five funding rounds, with the latest funding of USD 65 mn raised in November 2019 led by FTV Capital, which participated alongside Weatherford Partners LLC. Mark Sears, a notable entrepreneur, is the founder, and Bishal Khanal currently serves as CEO.

CloudFactory offers a comprehensive suite of AI-centric products designed to facilitate the development and deployment of AI solutions. Their core offerings include an AI Platform, a Data Engine, a Training Engine, and an AI Engine, all tailored to convert unstructured and incomplete data into structured, high-value datasets. These products cater to a diverse clientele across North America, Europe, and Asia, addressing critical use cases such as diagnostics in healthcare, fraud detection in finance, and operational efficiency in logistics. The revenue model of CloudFactory is primarily based on B2B partnerships and subscription services.

They generate revenue through long-term service agreements for data collection and labeling, as well as project-based contracts for consulting and deployment. Specific pricing structures are not disclosed, but their flagship AI offerings are likely engaged under tiered pricing models that align with the scope of client needs. CloudFactory plans to leverage the recent funding raised in November 2019 to enhance its product offerings and expand into new markets. They are actively developing new features for their AI Platform aimed at improving user experience and scalability, with a targeted release date set for late 2021.

The company is also looking to penetrate additional markets in Europe and Asia to increase its global footprint by 2022, ensuring that they meet the growing demand for AI-driven solutions.