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Eightfold’s founders secure $35 million in funding for Viven, an AI digital twin company designed to help you interact with unavailable colleagues

Eightfold’s founders secure $35 million in funding for Viven, an AI digital twin company designed to help you interact with unavailable colleagues

Bitget-RWA2025/10/15 22:09
By:Bitget-RWA

Although employees dedicate a significant portion of their workday to collaborating and communicating on projects, these efforts are frequently hampered by the availability of key team members. If a colleague who holds essential information is unavailable—perhaps due to being on leave or working in another time zone—the rest of the group often has to pause progress until that person can reply.

Ashutosh Garg and Varun Kacholia, who co-founded Eightfold, an AI-driven recruitment company most recently valued at $2.1 billion, are convinced that recent developments in large language models and privacy technology could address parts of this expensive challenge. Earlier this year, they introduced Viven, a digital twin startup designed to let employees access important knowledge from coworkers even when those individuals are not reachable.

On Wednesday, Viven officially exited stealth mode, announcing $35 million in seed investment from Khosla Ventures, Foundation Capital, FPV Ventures, and additional backers.

Viven creates a unique large language model for every employee, essentially building a digital replica by drawing from their internal digital records like emails, Slack messages, and Google Docs. Other team members can then interact with this digital twin to quickly obtain answers about shared projects or collective knowledge.

“When everyone has their own digital twin, you can simply communicate with the twin as though you’re speaking to the actual person and receive a response,” Ashutosh Garg explained to TechCrunch.

A significant challenge is that not all information should be accessible to everyone. Employees often deal with confidential data or have personal files they wish to keep private from colleagues.

Ashutosh Garg says Viven addresses this tricky issue using a method called pairwise context and privacy. This approach allows the company’s language models to accurately decide what information can be shared and with which individuals inside the organization.

Viven’s models are sophisticated enough to understand personal boundaries and recognize which details must remain confidential—such as inquiries about someone’s private life. Perhaps most importantly, every user can review the query history of their digital twin, which discourages inappropriate requests.

“It’s an extremely difficult issue, and until not long ago, it was considered unsolvable,” Ashu Garg, a general partner at Foundation Capital, told TechCrunch.

Viven is already being utilized by several large companies, including Genpact and Eightfold. (The founders, Ashutosh Garg and Varun Kacholia, continue to lead Eightfold while also managing Viven.)

Regarding rivals, Ashutosh Garg asserts that no other business is currently focusing on digital twins for enterprise use.

Initially, he wasn’t certain if competitors existed, so he reached out to Vinod Khosla for advice. The renowned investor confirmed that no one else is pursuing this idea and decided to invest.

Ashu Garg from Foundation Capital was also enthusiastic about Viven’s potential.

“When Ashutosh approached me to describe the product, what struck me was that there’s a universal challenge of coordination and communication across all roles, and no one has automated it yet,” Ashu Garg shared with TechCrunch.

However, the absence of direct competitors now doesn’t guarantee that others won’t enter the space. Ashu Garg mentioned that Anthropic, Google’s Gemini, Microsoft Copilot, and OpenAI’s enterprise search tools all offer some degree of personalization. Still, if they do move into this area, Viven is betting that its “pairwise” context technology will provide a competitive edge.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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