Blacksmith's Valuation Hits $550M on 10x Revenue Growth

Blacksmith, the CI/CD infrastructure startup purpose-built for GitHub Actions, has seen its valuation jump nearly 10x to $550M in under a year, driven by a tenfold surge in revenue as AI coding agents dramatically increase demand for fast, reliable software validation. The San Francisco company has raised roughly $59M across four rounds since its 2024 founding. Its rise is one of the clearest signals yet that the AI coding boom is creating a massive derivative market in testing and build infrastructure.

The companies building the picks-and-shovels for the AI coding wave are having a moment — and Blacksmith may be the most striking example yet. The San Francisco–based startup, which provides high-performance continuous integration (CI) infrastructure for teams using GitHub Actions, has seen its valuation soar to approximately $550 million, up nearly 10x in less than a year. The driver: revenue that has grown more than tenfold over the same period.

What Blacksmith Actually Does

Blacksmith provides a continuous integration and continuous delivery (CI/CD) service that facilitates code deployment by optimizing GitHub Actions workflows across a fleet of bare-metal gaming CPUs. In plain terms, it replaces the slow, expensive VMs that most engineering teams rent from hyperscalers like AWS to run their test suites.

Its core product enables companies to run their CI workflows up to twice as fast and at half the cost by leveraging a hardware-software stack purpose-built for CI, powered by gaming-grade CPUs and optimized orchestration. The integration pitch is deliberately frictionless: the platform requires only a single-line code change to integrate build caches directly next to CI jobs.

The AI Coding Tailwind

The company's founding thesis has proven remarkably well-timed. With the rise of AI code-generation tools, the founders anticipated an explosion in the volume of tests developers write — and that compute requirements for CI would grow exponentially. That bet has cashed out faster than almost anyone expected.

The boom in AI coding agents has blown the CI market wide open, according to co-founder and CEO Aditya Jayaprakash. When an agent can generate hundreds of pull requests a day, each one triggering a fresh test run, the bottleneck shifts from writing code to validating it — and that's precisely where Blacksmith sits.

A Funding History That Reflects the Momentum

Blacksmith was founded in 2024 by three University of Waterloo graduates — Aayush Shah, Aditya Maru, and Aditya Jayaprakash — who met while studying computer science and later worked at leading tech companies like Cockroach Labs and Faire.

The company's funding rounds have come in rapid succession:

$3.5M seed raised from Google Ventures (GV) and Y Combinator.
$10M Series A, closed in just 14 days, with GV doubling down just four months after the seed.
$45M Series B, bringing total known funding to approximately $59M across four rounds.

The company hit $1M ARR in February — with just four people on the team. Revenue subsequently reached $3.5M ARR with more than 700 customers, supported by a team of eight, before the latest growth surge took hold.

Why the Valuation Multiple Makes Sense (to Investors)

The near-10x valuation expansion in under a year isn't as irrational as it might look in a more cautious market. The revenue growth rate is the justification: a 10x revenue increase compresses the revenue multiple dramatically even as the headline valuation rises. Investors are effectively pricing in continued hypergrowth as AI coding agents become the default for engineering teams at software companies of all sizes.

This dynamic isn't unique to Blacksmith. Across the AI developer tooling market, infrastructure companies are commanding steep multiples. For reference, AI coding assistant Codeium was reported to be raising at a $2.85B valuation — roughly 70 times ARR — reflecting how aggressively investors are pricing growth in this category.

What This Means for Engineering and Product Teams

For startup founders and engineering leaders, Blacksmith's trajectory is a signal worth paying attention to on two levels.

First, practically: if your team is shipping code faster using AI agents — Cursor, GitHub Copilot, or otherwise — your CI pipeline is likely becoming your new chokepoint. Tools like Blacksmith are increasingly worth evaluating not as a cost-center optimization but as a product velocity lever.

Second, strategically: the market is validating that AI-adjacent infrastructure — not just the models themselves — is a venture-scale opportunity. The companies instrumenting the workflows around AI generation are building durable businesses, often with stronger unit economics than pure model providers.

As of mid-2026, Blacksmith employs around 51 people, meaning it is still in the early innings of building out its go-to-market and engineering organizations. At a $550M valuation with roughly $59M raised, it has the runway to do so without dilutive pressure — for now.