Once known as a grammar checker trusted by students and professionals alike, Grammarly is now staking its claim as a core player in the future of work. The Ukrainian-founded unicorn has secured a $1 billion non-dilutive financing deal from longtime backer General Catalyst, marking a significant pivot in its evolution from a writing assistant to a full-scale AI productivity platform.

Unlike traditional funding rounds, this capital injection doesn’t dilute Grammarly’s ownership structure. Instead, it comes from General Catalyst’s Customer Value Fund (CVF), a financing model that ties repayment to revenue generated from new customers. If those gains fail to materialize, Grammarly owes nothing—General Catalyst takes the loss.

The deal comes at a pivotal moment for Grammarly, which began as a writing enhancement tool and now offers a growing ecosystem of AI-powered agents embedded across emails, documents, enterprise software, and websites. With this expansion, the San Francisco-based company aims to become an intelligent backbone for how people work, rather than just how they write.

Founded in 2009 by Ukrainian entrepreneurs Alex Shevchenko, Max Lytvyn, and Dmytro Lider, Grammarly initially focused on education, offering grammar and style suggestions to help users write more clearly. Its real breakout came when it adopted a freemium model and integrated its service across browsers, mobile apps, and desktops, allowing it to reach millions beyond the academic sphere.

Today, Grammarly supports more than 40 million users and 50,000 organizations. Its AI now assists with brainstorming, tone adjustments, and content reviews—including the detection of AI-generated material, working seamlessly across over 500,000 platforms and tools.

The recent acquisition of Coda, a document and collaboration platform, has further broadened Grammarly’s reach. Coda’s former CEO, Shishir Mehrotra, stepped into the CEO role at Grammarly in December 2024, ushering in a new phase of leadership and strategy. With this merger, Grammarly now combines its communication intelligence with Coda’s enterprise-grade document system, transforming static documents into live, data-connected workspaces.

That transformation has put Grammarly at the heart of a new class of AI-native platforms—not just tools, but intelligent systems that understand context and deliver proactive assistance. Coda Brain, the AI engine at the center of Coda Docs, integrates with internal company data while preserving access permissions. In combination with Grammarly’s own AI agents, the platform now helps teams organize knowledge, surface insights, and execute tasks with minimal manual effort.

Grammarly’s role is no longer confined to proofreading. Its technology is now embedded into the daily workflows of major companies like Atlassian, Databricks, and Zoom. With more than $700 million in annual revenue, 80 percent gross margins, and a 97 percent annual retention rate among paying users, the company remains profitable while continuing to scale.

General Catalyst, which raised an $8 billion fund in October 2024, has identified Grammarly as a strategic pillar in its broader AI push. The firm’s investment strategy spans sectors like defense, fintech, climate, and healthcare, but Grammarly’s evolution into an AI productivity engine has become central to its AI thesis.

With the new funding, Grammarly plans to ramp up its global marketing and sales efforts, targeting new sectors and regions. It is also eyeing additional acquisitions to strengthen product capabilities, deepen integrations, and expand its reach. Internally, the company continues to invest in AI innovation, refining its agents to work across every layer of enterprise software—from wikis and CRMs to slides and messaging apps.

Grammarly’s raise mirrors a broader trend in the venture capital landscape, where artificial intelligence continues to dominate funding. In the first quarter of 2025 alone, AI startups attracted $59.6 billion in venture funding—more than half of the total capital deployed during the period. Late-stage deals like Grammarly’s represented 61 percent of that activity.

This funding surge comes even as competition intensifies from generative AI giants such as ChatGPT and Microsoft Copilot. These rivals have slowed Grammarly’s growth pace but haven’t knocked it off its pedestal as a market leader.

By deepening its capabilities and infrastructure, Grammarly is preparing for a future where AI not only assists but fundamentally shapes how teams collaborate and get work done. The company is also building an open ecosystem that will allow third-party developers to plug into its platform, further embedding it into the enterprise fabric.

Shishir Mehrotra, now leading Grammarly’s next chapter, said the combined force of Grammarly and Coda has unlocked new possibilities for how people work and communicate.

“I’m energized by the innovation happening across our teams,” he said. “Grammarly has become a productivity platform serving everyone from individual students to growing businesses to large enterprises. The breadth of what we can now offer is truly compelling.”

Nvidia Corp. CEO Jensen Huang has warned that U.S. export controls on high-end chips have failed to blunt China’s tech progress, with the country’s artificial intelligence ecosystem rapidly advancing to a point where it could no longer be taken for granted.

Instead of slowing China’s rise, Huang argued, the sanctions are strengthening domestic alternatives and eroding the technological gap once enjoyed by American firms.

“The Chinese competitors have evolved,” Huang said in an interview with Bloomberg Television on Wednesday. “Huawei has become quite formidable.” He added that major Chinese firms like Tencent are “doubling, quadrupling capabilities every year,” warning that the volume and sophistication of their systems are rising sharply.

Huang’s remarks underscore a growing concern in the U.S. semiconductor industry that Washington’s restrictive measures are not only ineffective but counterproductive—shutting out American companies from one of the most lucrative global markets while pushing China toward technological self-reliance.

Huawei’s Success As Evidence of Defiance

Huang’s assessment is backed by mounting evidence that Chinese companies are defying U.S. restrictions and accelerating their development of domestic AI chips, particularly as U.S. suppliers like Nvidia are blocked from shipping high-performance processors to China.

Huawei, a central target of American sanctions, has emerged as a leading example of China’s defiance. The tech giant, long blacklisted by Washington, recently unveiled an AI chip comparable in performance to Nvidia’s H200, a GPU that until recently was among the most powerful available. This represents a dramatic leap in capability for a firm once seen as hobbled by U.S. restrictions.

Under updated U.S. export rules, even Nvidia’s downgraded chip, the H20, cannot be shipped to China.

Huang said that the company currently has no substitute chips for the Chinese market. Any future alternatives would require U.S. government approval, further complicating Nvidia’s position.

Backing Huang’s warning is a report by the Financial Times on Thursday, which revealed that China’s largest technology companies—Alibaba, Tencent, and Baidu—have already begun the process of switching to homegrown semiconductors. According to industry executives cited by the FT, these firms are testing domestic alternatives in response to dwindling stockpiles of Nvidia chips and increasingly stringent U.S. export rules.

The move marks a significant pivot in China’s tech industry, driven not only by necessity but also by a broader state-led push for semiconductor independence. The companies are actively sourcing chips from domestic suppliers such as Huawei and other emerging players, hoping to meet the growing demand for generative AI applications across the Chinese market.

A Market of Lost Billions

The stakes for Nvidia are enormous. Huang said the company expects to lose up to $8 billion in sales this quarter alone due to its inability to supply chips to China—the world’s largest market for AI infrastructure.

“You cannot underestimate the importance of the China market,” he stressed. “This is the home of the world’s largest population of AI researchers.”

Nvidia’s GPUs have long been the gold standard for training advanced AI models, but with U.S. policy now locking them out of China, the company risks ceding market share to domestic players who were once reliant on American hardware.

Risks to America’s AI Leadership

Huang’s concern goes beyond Nvidia’s bottom line. He warned that American export policy is threatening the broader ecosystem of U.S. technology leadership.

“We want all of the world’s AI researchers and developers to be using American technology,” he said. But that ambition is at odds with Washington’s current stance, which has effectively alienated a large swath of global talent and enterprise.

In his interview, Huang also responded to recent reports that the U.S. is revoking visas for Chinese students involved in sensitive research areas. He noted the importance of immigration to innovation, recalling his own journey as an immigrant from Taiwan to the United States.

“Look, I’m an immigrant. I know many immigrants that came to the U.S. to build a great life, and many of us have contributed greatly to the technology industry in the U.S.,” he said. “We would like the brightest to come here.”

Currently, Washington’s export policy has created an unintended consequence: instead of freezing China out of the AI race, it has sparked a faster-than-expected maturation of China’s own capabilities. Huang’s comments reflect a growing realization in the industry that while the geopolitical battle over technology continues, China is quietly narrowing the gap—and American firms are left watching from the sidelines.