Preface

The modern workplace often faces delays in project progress due to the unavailability of key personnel. Whether it’s someone taking a break or differences in time zones, the absence of specific colleagues can halt critical tasks. The co-founders of Eightfold, Ashutosh Garg and Varun Kacholia, recognized this challenge and aim to resolve it using advancements in AI. They introduced Viven, a startup dedicated to creating digital twins to ensure seamless project execution even when essential team members are not present.

Lazy bag

Recent advances in LLMs and data privacy have paved the way for Viven, a digital twin startup. It effortlessly allows employees to access vital information even when colleagues are absent, thanks to specialized technologies ensuring both privacy and efficiency.

Main Body

In a digital era, businesses are perpetually looking for ways to enhance interaction and coordination among employees. The truth is that even with multiple communication channels, the absence of a colleague can create significant disruptions. Whether they’re taking a vacation or simply located in a distant time zone, the lack of real-time input from key individuals can pose a major hurdle. Ashutosh Garg and Varun Kacholia, known for their successful venture Eightfold, found a potential solution in recent AI breakthroughs.

The launch of Viven, with a substantial seed funding of $35 million from prominent investors such as Khosla Ventures, marks an innovation in workplace efficiency. At its heart, Viven employs state-of-the-art language models to develop individualized digital twins for every employee. These digital twins aggregate resources from emails, Slack channels, and Google Docs to replicate the knowledge and insights of unavailable team members. When colleagues need critical information, these digital twins act as proxies, ensuring seamless continuance of work.

However, the introduction of digital twins is not without complications. A major concern revolves around privacy. Employees often possess sensitive materials and private communications that ought to remain confidential. Herein lies Viven’s standout feature—its unique pairwise context and privacy technology. This technique allows the AI to discern what information can be shared and with whom, ensuring sensitive data remains secure.

An additional layer of security is introduced through transparency. Every query made to a digital twin is logged and accessible, discouraging potential abuse of the system. This innovation means that while the digital twin is a powerful tool for productivity, it does not compromise personal privacy.

Already, renowned enterprises like Genpact are leveraging this technology, suggesting a promising roadmap for Viven. Despite the absence of direct competitors, the landscape is dotted with giants like Google and Microsoft who possess the potential to enter this market. Nonetheless, Viven's unique approach, particularly its advanced privacy safeguards, provides a strategic advantage that could cement its leadership in this nascent field.

Key Insights Table