News

Scaleups

Artificial Intelligence

Americas

Cursor Raises $2.3B Series D at $29.3B Valuation

The AI-powered code editor announced a massive Series D funding round, backed by NVIDIA and Google, as it crosses $1 billion in annualized revenue.

The AI-powered code editor announced a massive Series D funding round, backed by NVIDIA and Google, as it crosses $1 billion in annualized revenue.

The AI-powered code editor announced a massive Series D funding round, backed by NVIDIA and Google, as it crosses $1 billion in annualized revenue.

NewDecoded

Published Nov 14, 2025

Nov 14, 2025

4 min read

Image by Cursor

Series D Brings Tech Giants to the Table

Cursor has closed a $2.3 billion Series D funding round at a $29.3 billion post-money valuation, marking one of the largest venture rounds in developer tools history. The financing includes participation from existing investors Accel, Thrive Capital, Andreessen Horowitz, and DST Global, while bringing aboard strategic partners Coatue, NVIDIA, and Google. The company revealed it has crossed $1 billion in annualized revenue with millions of developers using the platform. The AI code editor has expanded to over 300 team members focused on engineering, research, design, and operations. Cursor's customer base now includes major technology companies like OpenAI, Stripe, and NVIDIA, alongside more than half of the Fortune 500. The company's proprietary AI models generate more code than nearly any other large language models globally, according to their announcement.

From Seed Vision to Market Leader

Nearly two years ago when Cursor raised its seed round, the founders outlined an ambitious vision: building a code editor where bugs become nearly impossible to write and developers could create 2,000-line pull requests with just 50 lines of pseudo code. The company described its goal as creating an interface "where the source code itself starts to melt away." That vision has begun materializing faster than most anticipated. The Series D funding will enable deeper investment in research and product development. Cursor emphasized its focus on creating "magical moments" in AI-assisted programming, noting that despite rapid progress, substantial work remains to reach the full potential of combining software engineering with artificial intelligence.

Ecosystem Expansion Beyond the IDE

Beyond its core editor, Cursor has launched several integrations to expand its ecosystem. Bugbot, an AI-powered code review tool, attracted over 3,000 customers within weeks of launch. The company has rolled out integrations with Slack, Figma, and Linear, with the Linear integration achieving 45% adoption among enterprise customers within one week. These tools allow developers to activate coding agents without switching contexts between platforms. The funding comes as developer productivity tools powered by AI have emerged as some of the most commercially successful applications of large language models. The combination of proprietary models, sophisticated product interfaces, and growing ecosystem partnerships positions Cursor at the forefront of this transformation in how software is created.

Decoded Take

Decoded Take

Decoded Take

Cursor's $29.3 billion valuation represents a watershed moment for AI developer tools, signaling that code generation has become AI's most proven commercial application. The inclusion of NVIDIA and Google as investors is particularly telling: infrastructure providers are betting on application-layer companies that drive compute demand and validate their platforms.

This financing arrives as traditional IDEs face existential pressure, with Cursor demonstrating that developers will pay premium prices for AI-native tools that genuinely accelerate their workflow. The company's rapid path from seed stage to decacorn status in roughly two years suggests we're witnessing a fundamental shift in software development methodology, where natural language increasingly mediates between human intent and executable code.

For the broader tech industry, Cursor's trajectory validates the thesis that AI's near-term economic value concentrates in vertical applications that automate knowledge work, with software engineering representing the highest-value target due to developers' willingness to pay and their role as force multipliers across every industry.

Share this article

Related Articles

Related Articles

Related Articles