Today, Blitzy announced a $200M round at a $1.4B valuation, led by Northzone, PSG, and Battery Ventures.
Blitzy is an autonomous software development platform built for the Fortune 500. Where AI coding tools like Cursor help individual developers write code faster, Blitzy delivers entire enterprise software projects, ingesting existing codebases (100M+ lines), orchestrating thousands of AI agents to autonomously write, test, compile, and validate code, and shipping 80%+ of what would otherwise be multi-month engineering projects. (Humans polish the remaining work).
NFX wrote the first check into the company in 2024, when the founders were still MBAs at Harvard Business School. This is why we wrote that first check:
Blitzy is going after the global IT services market, a $1.6 trillion+ category. Custom enterprise software development is one of the largest slices within it, and CIOs have historically outsourced most of that to massive contractor armies.
In 2024, Blitzy recognized that enterprise software was the perfect market to disrupt with autonomy. And so did we. Around the same time, we wrote our AI Workforce thesis, predicting that trillions of dollars in services revenue would become addressable by AI-native companies for the first time.
Blitzy was doing exactly that in one of the largest TAM expressions we’ve seen so far.
Since then, we’ve seen the team solve key execution challenges. They’ve managed to sell into numerous Fortune 500 companies. Convert $250k pilots into 7-figure annual contracts, and transform their customers’ software development lifecycles. They have proven to be an excellent combination of vision and execution.
Selling autonomous software development into the Fortune 500 requires both deep technical credibility (because CIOs will dissect your architecture) and operator polish (because of enterprise procurement cycles). Brian and Sid were the founder pairing we had been looking for since the category emerged.
Brian is a West Point graduate, former US Army Ranger, Harvard MBA, and serial entrepreneur; the credible operator who can walk into a Fortune 500 CIO’s office and close a seven-figure pilot.
Sid is a former NVIDIA Master Inventor with 27+ patents in generative AI and an early adopter of AI models for software development, the rare CTO who saw the next architecture years before the market.
In 2024, the consensus on AI coding for the enterprise was simple: better foundation models would solve the problem. Brian and Sid disagreed. Their thesis was that enterprise software development wasn’t just an intelligence problem; it was a problem of complexity, trust, and systems.
Real enterprise codebases span hundreds of millions to millions of lines of code, with decades of architectural decisions and undocumented dependencies that no model’s context window can capture. To actually make autonomous software work in this context, you need a persistent knowledge graph of the codebase plus a hyperscaled orchestration layer that routes across the best frontier models.
In other words, you need to know how the codebase is designed and connected, and break that logic into manageable tasks for the AI to disentangle and reassemble in your target future state. That’s how you actually design software that works in a real-world context.
They were right. Their system is so good at understanding the context around a company’s codebase that it is now #1 on SWE-Bench Pro at 66.5%. It’s better at solving real-life software development and execution problems in the enterprise than the latest releases from OpenAI, Anthropic, and Google.
That’s the power of contrarian thinking, a strong thesis, and excellent execution.
We were first in with Blitzy because;
Two years later, this is obvious thinking. But back then, they were truly seeing what others could not. We’re proud to have backed them from the very beginning.
Congratulations to Brian, Sid, and the entire Blitzy team.
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