The round, led by Peak XV Partners with participation from GV and Y Combinator, brings Blacksmith’s total funding to $58.5 million. The valuation leap from $60 million reflects investor conviction that as AI coding tools accelerate software production, the bottleneck has shifted from writing code to validating it.
Why AI Code Testing Is the Next Battleground
The proliferation of AI coding assistants — Cursor, OpenAI’s Codex, Anthropic’s Claude Code — has made generating code dramatically faster. But speed without verification creates risk, and that risk is scaling with output.
“Validating code is still a bottleneck, and it’s an even bigger bottleneck because people are writing even more,” said Aditya Jayaprakash, Blacksmith’s co-founder and CEO, in an exclusive interview.
Blacksmith began as a cloud provider for continuous integration workloads, running the builds and tests companies need before pushing software to production. The platform has since expanded with Codesmith, an AI agent that automatically fixes failed code checks, reducing the manual overhead developers face when pipelines break.
Customer Growth and Revenue Trajectory
Founded in 2024, Blacksmith now serves more than 5,000 customers, up from just over 700 less than a year ago. Its client base includes Mercury, Supabase, Clerk, Ashby, and Expensify — companies across fintech, developer tools, and SaaS that depend on fast, reliable CI pipelines.
Jayaprakash said Blacksmith reached a $10 million annualized revenue run rate with only 10 employees. The headcount has since grown to roughly 30, and revenue has climbed to “tens of millions of dollars.” He declined to share a specific updated ARR figure but noted that some of the startup’s largest customers now spend more than $1 million annually on the platform.
A Crowded Field for Continuous Integration
The growth is real, but so is the competition. Blacksmith faces entrenched players including GitHub Actions, validation features embedded in Codex and Claude Code, Cursor Automations, and AI code-testing services from Amazon Web Services, Microsoft Azure, and Google Cloud.
Jayaprakash positions Blacksmith around two dimensions: speed of testing and affordability. In a market where hyperscalers can bundle CI into broader cloud commitments, a standalone startup must prove its tooling is meaningfully faster or cheaper — or both — to retain customers as they scale.
What Happens Next
Blacksmith plans to broaden its platform beyond testing into a wider suite of coding tools, aiming to help developers write, validate, and merge software faster. That expansion puts it on a collision course with the same AI coding assistants whose output it currently validates — companies that may eventually build or acquire their own testing layers.
The real question for the AI code-testing market is whether validation remains an independent category or gets absorbed into the coding tools themselves. Blacksmith’s $550 million valuation bets that testing stays specialized, complex, and worth paying for separately. Watch whether its largest customers — the ones spending seven figures annually — follow that bet by deepening their spend, or whether the hyperscalers’ bundled offerings erode that commitment over the next 12 months.
— David Kim, technology desk, AXO News