The $2.1 billion "worst idea ever": How Gamma created a successful empire with just 50 employees.

      Grant Lee vividly recalls the investor's judgment. “Yes, the investor labeled it the worst idea he had ever encountered.” This conversation took place in 2020, when Grant Lee and co-founders Jon Noronha and James Fox launched Gamma in San Francisco.

      Fast forward six years, that “worst idea” has evolved into a $2.1 billion enterprise, a profitable AI-driven visual communication platform utilized by over 100 million individuals, which has spent recent years establishing itself as a competitor to PowerPoint and Google Slides.

      Amid a landscape where AI startups burn through hundreds of millions in pursuit of growth, Gamma has surpassed $100 million in annual recurring revenue with around 50 employees and has maintained profitability for over 15 consecutive months.

      This summer, while rivals are cutting staff and seeking financing, Gamma is opening a new office in London, expanding into the Asia-Pacific region, and launching its most ambitious product to date.

      Addressing a neglected problem

      Grant Lee's intention was not to create an AI company; rather, he aimed to solve an issue that had troubled him for many years.

      “We chose to build Gamma because we genuinely believe in transforming how individuals communicate their ideas. PowerPoint has been around for many years, but many of us have lost countless nights trying to format or design a presentation instead of concentrating on the idea or content itself. We firmly believe that Gamma can serve as a visual language that facilitates better expression of ideas. It’s a mission we are very eager to continue advancing,” he stated.

      Grant Lee and his co-founders, Jon Noronha and James Fox, began developing Gamma in late 2020, prior to the emergence of ChatGPT and the subsequent generative AI surge. Their initial product was centered on what Grant Lee describes as “the foundational elements, where you can quickly draft something and Gamma would assist you in trying out various designs and layouts.”

      Then came 2023: “We integrated AI to significantly expedite that process. We could generate a first draft almost instantly because AI could pre-assemble those foundational elements in a manner that would take a human much longer, so we existed prior to AI, and it just accelerated everything we were already working on,” Grant Lee explains.

      The team incorporated large language models, enabling users who previously stared at blank pages to type an idea and watch it transform into a designed presentation in mere seconds.

      The Anti-Blitzscale Strategy

      What transpired next contradicts typical Silicon Valley growth stories.

      While competitors like Tome raised $81 million and increased their personnel to 60 only to pivot, Gamma cautiously secured around $90 million in total while keeping its workforce streamlined.

      The outcome: around $2 million in revenue per employee, roughly four times more efficient than Salesforce. “We maintained a lean team for a long period,” Grant Lee clarifies. “This allowed us to move swiftly and adapt.”

      “Many companies rush to expand their teams rapidly, which can ultimately hinder progress as they become distracted by numerous issues,” he points out. “We concentrated on what we aimed to excel in and ensured that we remained focused, avoiding distractions from competing products or categories.”

      By late 2025, Gamma had successfully exceeded $100 million in annual recurring revenue with profitability, raised a $68 million Series B round led by Andreessen Horowitz at a $2.1 billion valuation, and facilitated a $20 million secondary liquidity event for early employees, all without a traditional sales team for the majority of its existence.

      Why Gamma is not concerned about ChatGPT

      A pivotal question in 2026 is why anyone would need Gamma when tools like ChatGPT, Claude, and Gemini can create slides.

      Grant Lee offers a straightforward response: LLMs provide a framework; Gamma delivers the finished result.

      “Within those platforms, you can often generate an acceptable first draft, right? It enables you to glimpse the framework of what that presentation might consist of,” he explains.

      “However, if you truly wish to do extensive editing and refine that initial draft into a final version, you still require a tool like Gamma to effectively shape the ideas, ensuring that the design aligns with your expectations, adheres to branding, and is something you would genuinely share and present to others.”

      This “last mile” concept is why Gamma flourishes in the era of LLMs. The company orchestrates over 20 AI models in the background. “We are undoubtedly a multi-model business,” Grant Lee asserts.

      “We synchronize a wide array of models in the background, including over 20 models across images and large language models, as well as video. We are also developing our own models.”

      The business strategy is also evolving. Gamma initially focused on product-led growth for individual users and small teams. Now, enterprise accounts are on the rise.

      “We began targeting large enterprises, and currently, we have customers with tens of thousands of users within a single organization. We