Skyflow, a data-privacy startup, recently announced that it has expanded its data residency support to more markets, giving companies the ability to ensure certain data and information remains within certain borders. Skyflow’s API helps businesses handle the difficult privacy, encryption, and data issues associated with storing information such as Personally Identifiable Information (PII) in a secure manner.
Skyflow, which recently closed a hefty $45 million Series B, now allows software and other organizations to offer their services in Japan, India, Indonesia, and Bahrain, amongst other regions. This expansion helps companies avoid the complexity of building their own data storage and security frameworks, allowing them to quickly enter new markets while adhering to local regulations.
The addition of generative AI support also allows companies to securely store and utilize sensitive data such as LLMs (Location Limited Models) in ways that other companies may not be able to manage without dedicated infrastructure. In addition, Skyflow’s reliance on venture funding has allowed it to accept the high fixed costs of data storage in various regions, a cost that many individual companies may not be able to afford.
So far, the startup has seen extensive adoption abroad; with Sharma reporting that his business does more than 40% of its business with customers outside of the US. This level of international growth is expected to continue as tech companies vie for market share in slow markets, and Skyflow’s regional data storage capabilities can provide an important asset in helping them do so.
Skyflow’s CEO Anshu Sharma has led the company through this impressive international expansion. With nearly two decades of experience in product and engineering leadership in Silicon Valley, Sharma has been able to provide top quality products to customers worldwide. By understanding local markets and driving Skyflow’s product development, he has played a large part in organizing the company’s operations and setting them up for success.
