HomeBlacksmith’s Valuation Surges Nearly Tenfold in Under a Year
As artificial intelligence accelerates coding processes significantly, the subsequent major challenge in software development has become testing and ensuring the accuracy of all generated code. Blacksmith has recently raised another $45 million financing round to capitalize on this evolving landscape.
This Series B funding round, led by Peak XV Partners, assigns a valuation of $550 million to Blacksmith, up from the $60 million valuation it received during its $10 million Series A funding in less than a year ago. Existing investors GV and Y Combinator also joined the round, raising the startup’s cumulative funding to $58.5 million.
Founded in 2024, Blacksmith assists companies in developing, testing, and verifying software prior to deployment. According to co-founder and CEO Aditya Jayaprakash, who spoke in an exclusive interview, the company now serves over 5,000 customers, including Mercury, Supabase, Clerk, Ashby, and Expensify — up from just over 700 customers at that time last year.
The emergence of AI coding tools such as Cursor, OpenAI’s Codex, and Anthropic’s Claude Code has made it much simpler for software teams to create code, but the quality of code produced by these tools is not always reliable.
“Code validation remains a significant bottleneck, and it has become an even greater one as more code is being written each day,” Jayaprakash explained.
Blacksmith initially operated as a cloud-based service for continuous integration workflows, helping organizations run the builds and tests necessary to validate code before it went into production. Since then, the company has expanded its platform with Codesmith, an AI coding agent capable of automatically resolving failed code checks.
Jayaprakash noted that Blacksmith achieved an annualized revenue run rate of $10 million despite having only 10 employees at the time. The team has since grown to around 30 members, and revenue has risen to “tens of millions of dollars.” While he declined to provide a precise updated ARR figure, he did indicate that some of its largest customers now spend more than $1 million per year on the platform.
Although this represents strong and rapid growth, Blacksmith operates in a highly competitive market. Its main rivals include GitHub Actions, Cursor Automations, the built-in validation features in Codex and Claude Code, numerous other startups, as well as AI code-testing services offered by Amazon Web Services, Microsoft Azure, and Google Cloud.
Jayaprakash stated that his company differentiates itself through faster code testing speeds and more competitive pricing.
Looking ahead, Jayaprakash said Blacksmith intends to expand its portfolio of coding tools further, with the goal of helping developers write, validate, and merge software even more efficiently.
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I was totally surprised to read that Blacksmith’s valuation jumped by nearly tenfold in just a year—AI is making coding faster, but testing all that output must be a huge headache for teams. Do you think this kind of rapid growth will keep up with the actual quality control needs?
As artificial intelligence accelerates coding processes significantly, the subsequent major challenge in software development has become testing and ensuring the accuracy of all generated code. Blacksmith has recently raised another $45 million financing round to capitalize on this evolving landscape.
This Series B funding round, led by Peak XV Partners, assigns a valuation of $550 million to Blacksmith, up from the $60 million valuation it received during its $10 million Series A funding in less than a year ago. Existing investors GV and Y Combinator also joined the round, raising the startup’s cumulative funding to $58.5 million.
Founded in 2024, Blacksmith assists companies in developing, testing, and verifying software prior to deployment. According to co-founder and CEO Aditya Jayaprakash, who spoke in an exclusive interview, the company now serves over 5,000 customers, including Mercury, Supabase, Clerk, Ashby, and Expensify — up from just over 700 customers at that time last year.
The emergence of AI coding tools such as Cursor, OpenAI’s Codex, and Anthropic’s Claude Code has made it much simpler for software teams to create code, but the quality of code produced by these tools is not always reliable.
“Code validation remains a significant bottleneck, and it has become an even greater one as more code is being written each day,” Jayaprakash explained.
Blacksmith initially operated as a cloud-based service for continuous integration workflows, helping organizations run the builds and tests necessary to validate code before it went into production. Since then, the company has expanded its platform with Codesmith, an AI coding agent capable of automatically resolving failed code checks.
Jayaprakash noted that Blacksmith achieved an annualized revenue run rate of $10 million despite having only 10 employees at the time. The team has since grown to around 30 members, and revenue has risen to “tens of millions of dollars.” While he declined to provide a precise updated ARR figure, he did indicate that some of its largest customers now spend more than $1 million per year on the platform.
Although this represents strong and rapid growth, Blacksmith operates in a highly competitive market. Its main rivals include GitHub Actions, Cursor Automations, the built-in validation features in Codex and Claude Code, numerous other startups, as well as AI code-testing services offered by Amazon Web Services, Microsoft Azure, and Google Cloud.
Jayaprakash stated that his company differentiates itself through faster code testing speeds and more competitive pricing.
Looking ahead, Jayaprakash said Blacksmith intends to expand its portfolio of coding tools further, with the goal of helping developers write, validate, and merge software even more efficiently.
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I was totally surprised to read that Blacksmith’s valuation jumped by nearly tenfold in just a year—AI is making coding faster, but testing all that output must be a huge headache for teams. Do you think this kind of rapid growth will keep up with the actual quality control needs?
