Sequoia leads $45 million bet on Israeli entrepreneur building the next generation of AI employees
Sable’s Nim Ravid is developing AI agents that can navigate software, demonstrate products and handle customer conversations once reserved for human employees.
Sable, an AI startup founded by four Harvard graduates less than a year ago, has raised $45 million from Sequoia Capital and 8VC to develop what it calls an “AI employee” capable of managing customer interactions from start to finish. The company says its technology can navigate software interfaces, demonstrate products, answer complex questions and guide buyers in real time, moving beyond the limitations of traditional chatbots.
The round was led by Sequoia Capital and 8VC, with participation from BoxGroup, SV Angel, Valor Atreides AI Fund, Sabrina and Evan Hahn, as well as investors including founders from Suno, HubSpot and Cognition. Sequoia partner Shaun Maguire and 8VC co-founder and Palantir co-founder Joe Lonsdale are joining Sable’s board of directors.
Founded in October 2025 by Nim Ravid (CEO), Leon Chen, Linda He and Itamar Rocha, Sable was created by a team that met while studying at Harvard University and previously conducted research in areas including reinforcement learning, post-training and multimodal AI. Members of the team have backgrounds at companies including SpaceX, Google, Meta and Together AI.
The company currently employs around 15 people, all based in the United States, but is beginning to recruit engineers in Israel, where Ravid says the company sees a deep pool of AI talent.
“Israel has leading, experienced and unique technological talent, and we have an opportunity to expose it to the great challenges of the AI field,” Ravid said. “We are working to recruit the best engineers in Israel.”
Before founding Sable, Ravid became known in Israel and abroad for founding the Survived To Tell initiative following the October 7 Hamas attack, with the goal of bringing the personal stories of survivors and families of hostages to an international audience. The initiative reached tens of millions of views, and Ravid later served as the student representative on Harvard University’s Committee to Combat Anti-Semitism.
Sable is entering a market where companies are increasingly experimenting with AI assistants, but where many customer-facing interactions remain dependent on human employees.
The company argues that existing online purchasing experiences, particularly for complex software and AI products, remain fragmented. Customers often move between different stages of the sales process, from initial qualification calls to product demonstrations, sales discussions and onboarding, with different employees handling each step.
The result, according to Sable, is a loss of context, repeated conversations and delays in getting answers.
Traditional AI chatbots have helped automate simple tasks such as drafting text or summarizing information, but they are limited when customers need to understand how a product actually works. They typically operate through text-based conversations and cannot demonstrate products, navigate interfaces or collaborate with users in real time.
Sable’s solution is Aidan, an AI system designed to act as a digital employee that can manage customer interactions end-to-end.
Unlike a chatbot that waits for prompts, Aidan can “see” what appears on a user’s screen, navigate software interfaces, explain features and guide customers through live demonstrations.
The technology is based on what Sable calls “Interactive Intelligence”, a combination of real-time browser navigation, computer vision, voice and video capabilities that allow the AI system to interact with users in a shared environment.
“Aidan interfaces directly with buyers on your behalf, end-to-end, without a human in the loop,” Ravid said. “Achieving the low-latency and high-accuracy interaction required for a natural conversation with an AI employee meant overcoming a set of frontier AI challenges.”
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A key component of Sable’s platform is LiveBox, a virtual workspace that allows Aidan to demonstrate products directly to potential customers.
The company says the system can answer complex questions, measure engagement, collect feedback and surface insights from customer interactions.
Companies provide Aidan with their internal knowledge, including sales call recordings, documentation, marketing materials and interviews with top performers. Sable converts this information into what it calls a “Brain”, a continuously updated knowledge base that allows the AI employee to improve its responses and understand how an organization positions its products.
The company says Aidan is already being used in production by companies including Notion and Decagon, as well as large public companies, although it did not disclose the names of those additional customers.
“For decades, companies have relied on sales teams, solution engineers and forward-deployed engineers to help customers understand what products can actually do for them,” Lonsdale said. “Breakthroughs in real-time computer use and vision now allow for the automation of large parts of customer-facing work.”
