Partnering with Sable: Closing the Diffusion Gap
Nim, Leon, Linda and Itamar are building an AI employee powered by real-time computer use and vision.

The frontier of AI is moving at a pace most of the economy can’t match. Labs ship new capabilities every month, while the Fortune 500 scrambles to absorb what came out last year. Watching this gap widen, it’s clear that the bottleneck isn’t only intelligence, it’s helping customers understand what AI can actually do for them. It’s the reason we’re thrilled to partner with Sable.
Imagine your business wanted every buyer to fully understand your product or service, without the realities of time and scale. What would you do? You’d put your best product expert in every conversation. They’d learn each customer’s goals and deeply empathize. They’d demonstrate the product instead of describing it. They’d answer every question, adapt to every level of experience, and stay until the customer understood not just what your product is, but what it could do for them. And they wouldn’t do this for your largest accounts alone. They’d do it for every prospect.
Sable makes this possible. It created “Aidan,” the first AI employee, who leads its own customer calls with vision, voice, video and real-time browser interaction. Sable is less than one year old, but frontier companies are already using it to explain their products, including Notion’s custom agents and Decagon’s agent-building platform, alongside large public enterprises. There is a staggering range of applications and organizations eager to deploy AI employees, from the world’s fastest-growing companies looking to keep pace with demand, to large enterprises seeking to accelerate growth with AI. We’ve been blown away by the market pull for this new capability, with +150 companies already on Sable’s waitlist.
Enterprise deployments of multimodal AI employees require a combination of customer obsession and technological breakthroughs at the frontier of the field: low-latency browser use, real-time vision and simultaneous human-agent interaction. Problems like these are ultimately won by people. Sable is exceptionally well-positioned to solve them.
The four founding team members are friends from Harvard, where they studied post-training, reinforcement learning and multimodality. They worked at SpaceX, Google, Meta and Together AI. Nim, co-founder and CEO, is a rare combination of a leader and visionary. He has an innate talent, and impressive experience recruiting the highest-caliber people to work together and achieve the unlikely. That philosophy has shaped Sable from the beginning: the company is obsessed with hiring exceptional talent. Among their first hires is a unique mix of applied AI researchers and customer-obsessed engineers, including ten Harvard alums, former quantitative traders and International Math Olympiad winners.
The combination of an all-star team, undeniable market demand and bold vision is why we were thrilled to lead Sable’s seed round and co-lead its Series A. We believe Nim, Leon, Linda and Itamar are building foundational infrastructure for companies to manage their AI employees, and we couldn’t be more excited to be on this journey with them.