AI coding tools are helping software teams create code faster. Blacksmith is building around the next pressure point: making sure that code is tested, checked, and ready before it reaches production.
The startup has raised a new $45 million Series B led by Peak XV Partners. The round values Blacksmith at $550 million, a major increase from the $60 million valuation attached to its $10 million Series A less than a year ago.
A fast valuation jump around software validation
Blacksmith's latest funding round brings its total funding to $58.5 million. Existing investors GV and Y Combinator also participated in the Series B.
The company was founded in 2024 and focuses on helping businesses build, test, and verify software before it goes into production. That places Blacksmith in a part of the software workflow that can become more important when teams are producing more code and need stronger checks before merging or shipping it.
The valuation change is significant. Less than a year ago, Blacksmith raised a $10 million Series A at a $60 million valuation. The new $550 million valuation shows investor interest in tools that sit around AI coding, especially products that can reduce friction in testing and code review workflows.
Why AI coding makes testing harder to ignore
Tools such as Cursor, OpenAI's Codex, and Anthropic's Claude Code have made it easier for software teams to generate code. But the source article makes clear that output alone is not the whole problem: quality still has to be proven.
Blacksmith co-founder and CEO Aditya Jayaprakash described the pressure directly: "Validating code is still a bottleneck, and it's an even bigger bottleneck because people are writing even more," he said.
That is the core bet behind Blacksmith. If developers and AI coding agents can create more code in less time, companies still need systems that can run builds, execute tests, surface failures, and help teams decide what is ready for production.
In that workflow, validation becomes a control point. It is not only about whether code can be written quickly. It is also about whether teams can trust the path from code generation to deployment.
From CI workloads to an AI coding agent
Blacksmith began as a cloud provider for continuous integration (CI) workloads. In practical terms, that meant supporting the builds and tests companies use to validate code before it reaches production.
The company has since expanded its platform with Codesmith, an AI coding agent designed to automatically fix failed code checks. That moves Blacksmith beyond running validation tasks and into the work that follows when those tasks fail.
This shift matters because failed checks can slow down engineering teams. A system that can identify the failed check and help repair the code creates a tighter loop between writing, testing, and merging software.
Blacksmith now serves more than 5,000 customers, according to Jayaprakash. That customer base includes Mercury, Supabase, Clerk, Ashby, and Expensify. Less than a year ago, the company had more than 700 customers.
Revenue growth with a small team
Jayaprakash said Blacksmith reached a $10 million annualized revenue run rate with just 10 employees. The startup has since expanded its workforce to about 30 people.
He also said revenue has grown to "tens of millions of dollars," though he declined to give a specific updated ARR figure. Some of Blacksmith's largest customers now spend more than $1 million a year on the platform.
Those figures help explain why investors are paying attention. Blacksmith is not only positioning itself around AI coding trends; it is also pointing to customer growth, larger contracts, and revenue momentum.
At the same time, the market is not empty. Blacksmith is competing against GitHub Actions, Cursor Automations, validation capabilities built into Codex and Claude Code, other startups, and AI code-testing services from Amazon Web Services, Microsoft Azure, and Google Cloud.
The next step is a broader coding toolset
Jayaprakash said Blacksmith is competing on testing speed and affordability. Those are practical points of differentiation in a market where development teams already have many options for code checks and automation.
The company also plans to expand into a broader suite of coding tools. Its stated goal is to help developers write, validate, and merge software faster.
That ambition puts Blacksmith in the middle of a larger change in software development. AI coding tools may accelerate code creation, but the surrounding workflow still has to handle verification, failed checks, and the final path into production.
For Blacksmith, the opportunity is clear from the source article: as more code gets produced, the demand for testing and validation can rise with it. The company's new $45 million round gives it more capital to pursue that shift in a crowded and fast-moving market.