Sable Raises $45 Million To Build AI Employee For Customer Interactions

By Amit Chowdhry ● Today at 12:01 AM

Sable has raised $45 million to expand Aidan, an artificial intelligence employee designed to conduct customer interactions by navigating software, responding to questions and demonstrating products in real time.

Sequoia Capital and 8VC led the financing, with participation from BoxGroup, SV Angel, Valor Atreides AI Fund, Sabrina Hahn and Evan Hahn.

Sequoia Capital Partner Shaun Maguire and 8VC co-founder Joe Lonsdale led their firms’ investments and will join Sable’s board of directors.

Founded less than a year ago, Sable is already deploying Aidan with customers including Notion, Decagon and several large publicly traded companies.

Aidan is designed to guide prospective customers through software products rather than limiting interactions to text-based explanations. The system can lead live demonstrations, answer detailed questions and navigate directly through a product while speaking with the user.

Sable describes the underlying technology as Interactive Intelligence, which combines real-time browser navigation, computer vision, voice and video.

The system can recognize what is displayed on a screen, select interface elements, move through workflows and explain what it is doing. This allows a prospective buyer to experience a product in a shared digital environment rather than relying only on a chatbot, recorded demonstration or conventional sales presentation.

Aidan is intended to provide an experience resembling a session with a sales representative or solutions engineer. It can respond to questions while simultaneously showing users the relevant features inside the product.

The platform is designed to support interactions at any time and in multiple languages, potentially allowing businesses to serve customers without requiring a human employee to participate in every conversation.

Sable said recent improvements in computer-use and vision models made it possible to create an AI system capable of continuously observing a screen and completing browser actions while maintaining a natural conversation.

Delivering this type of experience requires the system to perform actions with low latency and maintain enough accuracy to avoid interrupting the conversation or navigating to the wrong area of a product.

Aidan operates within a dedicated virtual workspace called a LiveBox. The environment allows the AI employee and customer to interact with the same product experience simultaneously.

Through a LiveBox, Aidan can demonstrate a product’s functionality, adapt the session to the customer’s questions and help the user understand how the software could address specific business requirements.

Sable is initially positioning the technology around customer-facing workflows such as qualification, product demonstrations, onboarding and account expansion.

Software purchasing processes can involve several meetings and handoffs among sales development representatives, solutions engineers, account executives and customer success teams. Information collected during one conversation may not always transfer completely to the next employee.

Sable aims to create a continuous experience in which Aidan maintains context across each stage of the relationship.

The AI employee can measure engagement, gather feedback and identify insights from customer interactions. Those findings can help businesses understand which product capabilities generate interest, where buyers experience confusion and which questions appear most frequently.

Companies can train Aidan using sales call recordings, product documentation, marketing materials and interviews with experienced employees.

Sable processes this information into an enterprise knowledge system called the Brain. The system organizes a company’s product expertise, positioning, customer information and preferred interaction practices into a structured context graph.

Aidan can use the Brain to determine how to explain a product, answer customer questions and conduct conversations in a manner consistent with the company’s established practices.

The platform is also designed to improve over time by identifying missing information, recognizing successful interaction patterns and refining the accuracy and quality of future conversations.

Sable said the deployment process does not require a traditional software integration. Within several weeks, the Brain can begin converting an organization’s institutional knowledge into a continuously updated library available to Aidan.

The company believes this approach can help businesses extend the expertise of their strongest salespeople and product specialists to a much larger number of prospective customers.

Human sales and solutions engineering teams often reserve highly personalized demonstrations for the largest or most promising opportunities because providing that level of attention to every buyer would require significant staffing.

Sable is seeking to make those interactive experiences available more broadly by allowing Aidan to conduct multiple customer conversations without the scheduling and capacity limitations of human teams.

The platform is not limited to summarizing documents or generating written responses. Its ability to manipulate software interfaces allows it to demonstrate how a product works and collaborate directly with the user.

This distinction could be particularly relevant for complex enterprise software, where buyers may need to see workflows in action before understanding the product’s value.

Sable plans to use the funding to advance Aidan’s real-time computer-use capabilities, improve the platform’s accuracy and expand its work with enterprise customers.

The company was founded by CEO Nim Ravid, Leon Chen, Linda He and Itamar Rocha, who met at Harvard University and conducted AI research involving post-training, reinforcement learning and multimodal systems.

Members of the founding team previously worked at SpaceX, Google, Meta and Together AI. Sable’s broader team includes AI researchers, former quantitative traders and International Mathematical Olympiad winners.

The company believes customer-facing work will become a major use case for autonomous AI as computer-use systems become capable of understanding and operating increasingly complex software.

By combining visual perception, browser control, voice interaction and company-specific knowledge, Sable aims to create an AI employee that can guide customers through the complete buying and onboarding journey.

KEY QUOTES:

“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. 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.”

Nim Ravid, Co-Founder and CEO of Sable

“The defining commercial opportunity in AI comes down to how fast companies can adopt what the frontier has already built. 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.”

Shaun Maguire, Partner at Sequoia Capital

“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.”

Joe Lonsdale, Co-Founder of 8VC

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