Data Privacy Vault Skyflow Secures $30 Million in New Funding

Data Privacy Vault Skyflow Secures $30 Million in New Funding
  • Data privacy vault Skyflow has raised $30 million in an extension Series B round led by Khosla Ventures.
  • The investment comes amid growth in the market for sensitive data protection for Large Language Models (LLMs).
  • Founded in 2019, Skyflow made its Finovate debut at FinovateSpring 2022.

Data privacy vault Skyflow raised $30 million in an extension of its Series B funding round. The round was led by Khosla Ventures, and featured participation from existing investors Mouro Capital, Foundation Capital, and Canvas Ventures. The investment takes the company’s total equity capital to $100 million, according to Crunchbase. Valuation information was not immediately available.

The investment in Skyflow arrives as the proliferation of Large Language Models (LLMs) raises the stakes when it comes to protecting sensitive data. Skyflow’s global network of data privacy vaults enables businesses to isolate, protect, and manage sensitive customer data across any app, data cloud, or LLM. Skyflow supports nearly a billion records of user data for its customers and processes more than two billion API calls a quarter.

“We see an urgent need for companies to make privacy a core part of their technology stack as LLMs and AI hurdle forward, ingesting more and more personal data,” Skyflow Co-founder and CEO Anshu Sharma said. “Skyflow is the only solution that allows companies to build privacy by design into their technological infrastructure without overhauling anything – anywhere in the world.”

Skyflow credits a proprietary technology – polymorphic encryption – for its ability to protect data without inhibiting its usability for critical business tasks. Skyflow’s technology serves as a “privacy trust layer,” blocking sensitive information from entering AI models, and making adoption of AI technology safer. Companies can personalize their own definition of “sensitive data” as needed, providing additional protection beyond PII, intellectual property, or other categories of critical information.

“With the advent of enterprise applications powered by AI, the need for trust and privacy infrastructure is key to protecting sensitive data,” Khosla Ventures founder Vinod Khosla said. “Skyflow is rethinking how data can be managed and protected across any app, cloud, or LLM, making it a company that will be vital for every enterprise business.”

Founded in 2019, Skyflow made its Finovate debut at FinovateSpring 2022. At the conference, the company showed how its technology helps financial services companies securely orchestrate sensitive data and exchange it with third party providers without having to directly handle the data itself.

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Photo by Gotta Be Worth It

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A look at the companies demoing at FinovateSpring in San Francisco on May 21 and 22. Register today using this link and save 20%.

Deeployalty

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Who’s it for?

Banks and retailers.

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Features

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Who’s it for?

Banks, remittance companies, mobile apps, e-commerce marketplaces, payment service providers, and enterprise businesses with offshore employees, gig workers, suppliers, and vendors.

QuickFi

QuickFi is the first and only embedded finance platform in the market for secured commercial equipment lending.

Features

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Who’s it for?

Banks, equipment manufacturers, and equipment distributors.

Sherpas

Sherpas is a generative finance platform for wealth management that optimizes operations, personalizes advice at scale, and puts client engagement on autopilot through their AI model, Nima.

Features

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Skyflow

Skyflow recently released the Skyflow LLM Data Privacy Vault, which allows financial service organizations to leverage the power of LLMs, such as GPT, while maintaining privacy and security.

Features

  • Utilizes LLM while maintaining privacy and security
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  • Improves customer experience through new technologies while protecting sensitive data

Who’s it for?

Anyone who collects sensitive data such as PII, PCI, and PHI.