Sable raises $45 million from Sequoia to build AI employee that runs product demos autonomously

Sable raised $45 million from Sequoia to build an AI that runs product demos instead of humans

Sable raised $45 million from Sequoia and 8VC for Aidan, an AI that runs live product demos and replaces sales development workflows. Sable has raised $45 million from Sequoia Capital and 8VC to build an AI system called Aidan that runs live product demonstrations, answers customer questions in real time, and switches between languages mid-conversation. The company, which is less than a year old, calls Aidan an AI employee designed to replace not just chat support but the entire demo-to-onboarding pipeline. Fortune reported the funding exclusively on Wednesday. Unlike the chat widgets that sit in the corner of most websites, Aidan appears in a shared browser window and actively drives the product while the buyer watches and clicks alongside it. Sable trains the system by feeding it recordings of a company's best sales calls, internal documentation, and marketing materials, building what it calls a reusable brain for each customer. CEO Nim Ravid argues that the result feels closer to a human sales engineer than a scripted bot, because the system can see changes on the page and adjust its presentation mid-conversation. Notion and Decagon, the AI customer-service startup, are already using Aidan in production. The approach echoes what BCG has done with its AI sales agent Jamie, which learns from a firm's best and worst sellers, though Sable is targeting the customer-facing side of the funnel rather than internal coaching. Sable's pitch is that Aidan can absorb four human roles at once: sales development, demo specialist, solutions engineer, and customer-success onboarding. Sequoia partner Shaun Maguire said the demo "reminded me of what Stripe did for payments" after watching Aidan switch between English, Mandarin, and Spanish while walking a buyer through a product. Joe Lonsdale, co-founder of Palantir and founder of 8VC, joins Maguire on the board. Angel investors include HubSpot co-founders Brian Halligan and Dharmesh Shah, Valor's Antonio Gracias, and Cognition CEO Scott Wu. The funding arrives as the agentic AI market, software that takes actions rather than just generating text, has grown to roughly $9 billion to $10 billion globally in 2026, with forecasts reaching $57 billion by 2031 according to Mordor Intelligence and Coherent Market Insights. Sequoia raised $7 billion for its largest-ever late-stage fund earlier this year, positioning AI as the firm's central thesis under new leadership. Sable fits that thesis directly, betting that interactive AI can close the gap between what products can do and what buyers understand about them. Whether Aidan can overcome the skepticism that years of mediocre chatbots have created is an open question that Ravid himself acknowledges. Trust, job displacement, and competition from platforms like Notion's own AI agents remain real obstacles for a company asking enterprise buyers to hand their sales process to a machine. Sable is less than a year old, and the distance between a compelling demo and a product that reliably replaces human sales engineers at scale is one that many AI startups have promised to close and few have managed.

Exclusive: Meet the AI employee that convinced Sequoia to invest $45 million in Sable | Fortune

Sequoia partner Shaun Maguire still remembers the demo that changed his mind on Sable. An AI sales rep was walking a buyer through a product in English, then smoothly switching into Mandarin and Spanish mid‑conversation. Maguire says it "reminded me of what Stripe did for payments." Sable is a less‑than‑year‑old startup building an AI "employee" named Aiden that lives on a company's website. Aiden can run live product walk‑throughs, and field detailed questions in real time. The company has raised $45 million from Sequoia Capital and 8VC, Fortune learned exclusively. Valor's Antonio Gracias, HubSpot cofounders Brian Halligan and Dharmesh Shah, and Cognition CEO Scott Wu are among the angels. Sable CEO Nim Ravid is approaching AI tools from a human angle. The Israeli founder lost friends at the Nova music festival on October 7 and later helped build cross‑community dialogue groups at Harvard while working on efforts to reduce polarization on campus. He says he has spent years thinking about "how to make these models more human." Instead of living as a little chat bubble in the corner of the screen, Aiden shows up in a shared online window that looks like a laptop and actually drives the product while the buyer watches and clicks around too. It can see what's changing on the page by itself and jump in mid‑conversation, which Ravid argues feels more like a good human sales engineer walking a customer through a demo than a script‑following bot. Sable feeds Aiden recordings of a customer's best sales calls, internal documentation, and marketing materials to build a reusable "brain" that can power demos, onboarding, and international rollouts instead of starting from scratch each time. That pitch has already landed early customers like workspace platform Notion and AI customer‑service startup Decagon, where Aiden is running in production. The broader backdrop to Sable is that "agentic" AI -- software that doesn't just reply but takes actions on a computer -- has quietly grown into a roughly $9 to $10 billion global market in 2026, with forecasts as high as $57 billion by 2031 as companies automate more of their customer‑facing work. Notion has turned its workspace into an AI agent hub and Decagon is pushing an AI concierge for customer service, while Sequoia partner Julien Bek is arguing that "services are the new software" and that the next trillion‑dollar company will sell results, not tools. Sable wants Aiden to absorb four human roles at once: sales development, demo specialist, solutions engineer, and customer‑success onboarding. Ravid pitches this as a "win‑win" where buyers finally get a patient expert on demand and humans step up to managing fleets of AI teammates instead of running the same explainer calls over and over. Still, trust, job displacement, and competition from giants like Notion's own AI agents remain real obstacles, especially for buyers who, as Ravid puts it, are still scarred by years of "shitty chatbot experiences."

Sable Raises $45M to Build the First AI Employee that can Click, See, and Explain

Backed by Sequoia Capital and 8VC, Sable, founded by a group of Harvard graduates, is less than a year old and is already in production at Notion, Decagon, and large public companies, transforming how businesses interact with customers. San Francisco, CA, July 16, 2026 (Newswire.com) - Sable, the first AI employee built to lead customer interactions end-to-end, today announced a $45 million financing round led by Sequoia Capital and 8VC, with participation from BoxGroup, SV Angel, Valor Atreides AI Fund, Sabrina and Evan Hahn. Sequoia Capital's Shaun Maguire and 8VC's Joe Lonsdale led their firms' investments and are joining Sable's board. Less than a year old, Sable is already live in production with the world's fastest-growing companies like Notion and Decagon, as well as large public companies. Sable created Aidan, an AI employee, who helps businesses show all buyers what a product can do for them, instead of just telling them. Aidan leads live product experiences, answers complex questions, and guides buyers through products in real time while measuring engagement, gathering feedback, and surfacing insights from every interaction. The breakthrough enabling this is what Sable calls Interactive Intelligence, the combination of real-time browser navigation, vision, voice, and video that allows AI to see, click, explain, and collaborate with users in a shared environment. Unlike a chatbot waiting to be prompted, Aidan perceives what's on screen, speaks naturally, and navigates the product directly, so customers can experience the same dynamic, attentive session delivered by a human employee, at any hour, in any language. This was not possible even a few months ago. Improvements in vision and computer-use models, combined with advancements made by Sable's team, now enable Aidan to perform live browser actions on demand and continuously perceive your screen and respond in real time. Aidan also has its own workspace, called a LiveBox, designed for live, simultaneous customer interaction. A LiveBox is a virtual machine that allows Aidan to demonstrate a product's full capabilities to buyers, helping them understand what it can do for them. "By combining computer use, vision, and voice, we've created a full AI employee with a degree of autonomy these systems have never had. While long-horizon agents complete background tasks, Aidan interfaces directly with buyers on your behalf, end-to-end, without a human in the loop," said Nim Ravid, CEO of Sable. "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." While chatbots are effective for tasks like drafting emails or summarizing documents, they are not the ideal interface for evaluating or purchasing products online. They push visual content to the background, constrain interactions to turn-based prompts instead of direct manipulation, and don't allow for simultaneous collaboration. The combination of Sable's Interaction Intelligence and LiveBox introduces a new interaction paradigm that enables businesses to launch an AI employee who is infinitely knowledgeable, patient, and always present, delivering personalized, white-glove buying experiences that were previously reserved for only a small fraction of customers. Today's buying experience is quite the opposite, leaving customers frustrated. Purchasing AI and software products usually means customers schedule a qualification call with one person, sit through a separate demo with another, meet again with an account executive to close, and get handed off once more for onboarding, losing context with every new interaction, having to repeat themselves at every step, and struggling to get immediate answers. Sable replaces that disjointed experience with an always available employee: one AI employee that carries full context across qualification, demos, onboarding, and expansion, so the journey finally feels continuous instead of stitched together. Deploying Aidan is simple and requires no integration. Sable enables companies to teach Aidan their best practices and institutional knowledge for positioning products and leading customer conversations. Sales call recordings, interviews with top performers, documentation, and marketing materials are transformed into a unified enterprise customer context graph, called the Brain. From there, Aidan continuously learns by identifying knowledge gaps, capturing successful interaction patterns, and refining both the accuracy of its responses and the quality of its conversations. Within weeks of deployment, the Brain maps an organization's unique expertise into a structured, continuously evolving knowledge library. "The defining commercial opportunity in AI comes down to how fast companies can adopt what the frontier has already built," said Shaun Maguire, Partner at Sequoia. "Sable has created a direct path from frontier capability to how businesses actually reach their customers: a virtual employee that can see, click, navigate, and explain in real time." Drawing on decades of experience building enterprise software, Palantir co-founder Joe Lonsdale said, "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. Breakthroughs in real-time computer use and vision now allow for the automation of large parts of customer-facing work. Sable AI's employee is enabling companies to scale in ways that were totally impossible even a year ago." Sable was founded by Nim Ravid, Leon Chen, Linda He, and Itamar Rocha, who met at Harvard University and conducted AI research in post-training, reinforcement learning, and multimodality. Prior to founding Sable, members of the team worked at SpaceX, Google, Meta, and Together AI. The broader team today includes AI researchers, former quantitative traders, and International Math Olympiad winners. About Sable Sable creates Aidan, the first AI employee powered by real-time computer use, vision, and voice, allowing businesses to lead customer calls at scale. Its platform allows companies to build, monitor, and continuously improve their AI employee. Sable is backed by $45M from Sequoia Capital and 8VC, and early customers include Notion, Decagon, and large public companies. Learn more at withsable.com.