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Viven:用AI数字孪生解决团队协作信息孤岛问题
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Viven是一家初创公司,旨在利用大型语言模型(LLM)和数据隐私技术解决团队协作中的信息可用性问题。当关键信息持有者缺席时,团队工作会因此停滞。Viven通过为每位员工创建专属的数字孪生,访问其内部电子文档(如邮件、Slack、Google Docs),使得其他同事即使在对方不在场时也能立即获得所需信息。该公司近日宣布获得3500万美元种子轮融资,并已推出其服务。Viven的独特之处在于其“成对上下文与隐私”技术,能够精确控制信息的分享范围,并识别需要保密的敏感信息,同时查询历史记录也增加了透明度。

💡 **信息孤岛与协作效率低下**:在团队协作中,当掌握关键信息的同事因休假或时区差异而无法联系时,项目的进展往往会因此受阻。这种“信息孤岛”现象普遍存在,影响了整体工作效率。

🤖 **AI数字孪生解决方案**:Viven公司开发了一种创新的解决方案,通过为每位员工构建一个专属的“数字孪生”。该数字孪生能够访问员工的内部电子文档,如电子邮件、Slack消息和Google Docs,从而使其他团队成员在需要时能够快速获取信息,无需等待本人回复。

🔒 **隐私保护与成对上下文技术**:Viven的核心技术之一是“成对上下文与隐私”,它解决了信息共享中的关键隐私问题。该技术能够智能地判断哪些信息可以被分享,以及与谁分享,确保敏感信息和个人文件得到妥善保护,同时防止不当查询。

🚀 **市场前景与竞争优势**:Viven已获得3500万美元的种子轮融资,并已获得Genpact和Eightfold等企业客户的采用。尽管目前市场上尚无直接竞争对手,但Viven认为其独特的“成对”上下文技术将是其重要的护城河,以应对未来可能出现的竞争。

While employees spend much of their day communicating and coordinating amongst themselves on projects, this effort is often undermined by the availability of specific individuals. When a colleague with vital information is away — whether on vacation or in a different time zone — the rest of the team must delay progress until that person responds.

Ashutosh Garg and Varun Kacholia, the co-founders of Eightfold — an AI recruiting startup last valued at $2.1 billion — believe that advances in LLMs and data privacy technologies can help solve some aspects of this costly problem. Earlier this year, they launched Viven, a digital twin startup with a mission to grant employees access to crucial information from teammates even when those colleagues are unavailable.

On Wednesday, Viven emerged out of stealth mode with $35 million in seed funding from Khosla Ventures, Foundation Capital, FPV Ventures, and others.

Viven develops a specialized LLM for each employee, effectively creating a digital twin by accessing their internal electronic documents such as email, Slack, and Google Docs. Other employees in the organization can then query that person’s digital twin to get immediate answers related to common projects and shared knowledge.

“When each and every person has a digital twin, you can just talk to their twin as if you’re talking to that person and get the response,” Ashutosh Garg told TechCrunch.

One major hurdle is that people just can’t share everything with anyone who asks. Employees often handle sensitive information or have personal files they want to keep private from the rest of the team.

According to Ashutosh Garg, Viven’s technology solves that complex problem through a concept known as pairwise context and privacy. This enables the startup’s LLMs to precisely determine what information can be shared and with whom across the organization.

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Viven’s LLMs are smart enough to recognize personal context and know what information needs to stay private — like questions related to an employee’s personal life. But perhaps the most important safeguard is that everyone can see the query history of their digital twin, which acts as a deterrent against people asking inappropriate questions.

“It’s a very hard problem to solve, and until recently, it was unsolvable,” Ashu Garg, a general partner at Foundation Capital told TechCrunch.

Viven is already in use by several enterprise clients, including Genpact and Eightfold. (Co-founders Ashutosh Garg and Varun Kacholia continue to lead Eightfold, splitting their time between that company and running Viven.)

As for competition, Ashutosh Garg claims that no other company is tackling digital twins for the enterprise yet.

He wasn’t sure that there were no competitors when he first started thinking about the idea. So he called Vinod Khosla to ask about it. The legendary investor assured Ashutosh Garg that nobody is doing this and agreed to invest.

Ashu Garg of Foundation Capital was equally excited about Viven.

“When Ashutosh came to me and described the product, the big aha for me was: there’s this horizontal problem across all jobs of coordination and communication, which no one is automating,” Ashu Garg told TechCrunch.

But just because there are no direct competitors now doesn’t mean that other companies won’t build digital twins for companies in the future. Ashu Garg said that Anthropic, Google’s Gemini, Microsoft Copilot, and OpenAI’s enterprise search products have a personalization component. But, if they do enter this market, Viven hopes its “pairwise” context technology will be its moat.

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Viven AI数字孪生 LLM 数据隐私 团队协作 信息孤岛 Eightfold Viven Digital Twins AI Collaboration Data Privacy Information Silos
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