Temporal, the open-source platform powering the world’s most reliable agentic applications, today announced a $300 million Series D financing at a $5 billion valuation. The round was led by Andreessen Horowitz (a16z), and joined by Lightspeed Venture Partners and Sapphire Ventures, with strong participation from insiders Sequoia Capital, Index, Tiger, GIC, Madrona, and Amplify.

As companies race to adopt agentic AI, most efforts stall at the pilot stage. Temporal is changing that. By providing a durable execution layer for long-running, stateful AI systems, Temporal enables companies across every sector to turn agentic AI from a promising idea into a production reality by addressing the gap between experimentation and adoption.

"Durable execution is a core requirement for modern AI systems, and Temporal offers a compelling platform to help build it in from the start. As AI systems become more complex and long-running, durability is as important as performance. Temporal plays a role in how we think about reliable execution at scale, supporting teams in focusing on product development," said Venkat Venkataramani, VP App Infrastructure, OpenAI.

Over the past year, demand for Temporal’s open-source platform and cloud service has surged as companies move beyond AI prototypes toward mission-critical deployments. Temporal reported >380% year-over-year revenue growth, a 350% increase in weekly active usage, and a 500% increase in installations, now exceeding 20 million installs per month and 9.1 trillion lifetime action executions on their Cloud product alone, 1.86 trillion for AI-native companies.

“Agentic AI doesn’t fail because the models aren’t good enough,” said Samar Abbas, CEO and co-founder of Temporal. “It fails because the systems around them can’t handle real-world execution. And rather than create new problems, agentic AI tends to expose old ones such as managing state and failures. We’ve been solving these same problems for years. Temporal exists to make agentic AI work in production as well as any other class of application, reliably, predictably, and at scale.”

Temporal customers use the platform to:

• Run agents that execute for days or weeks without losing state, because they safely recover from failures
• Control GPU, LLM, and other infrastructure costs as AI workloads scale
• Increase product delivery velocity and quality by simplifying developer experiences and infrastructure management
• Improve observability in agentic loops by tracing steps and failures at every step in the workflow

Here is how Temporal powers some of the world’s most advanced agentic applications, spanning AI labs, startups, and global enterprises across industries:

• OpenAI, Replit, and Lovable build reliable agents at mass scale
• Nordstrom orchestrates migrations for streaming infrastructure
• ADP powers human-in-the-loop agentic processes to improve HR practices
• Healthcare disruptors like Abridge use Temporal to provide Ambient AI to over 200 health care systems
• Media companies like the Washington Post: Power their AI pipeline that powers video scene detection
• Financial Services companies like Block create agentic frameworks that accelerate developer productivity

“Building for speed or reliability in agentic applications are often at odds with each other, but building with Temporal’s SDKs make it so they don't have to be. Building with Temporal’s programming model dramatically increases our dev’s productivity and the Cloud platform ensures our systems are running reliably at scale. Our devs spend all their time on innovation instead of messy and undifferentiated infrastructure problems," said Matt McDole, CTO Yum! Brands (Taco Bell, KFC).

In one instance, customers relying on Temporal’s high-availability architecture continued operating through major cloud outages without data loss or manual intervention. In another, Temporal handled sudden traffic spikes exceeding 150,000 actions per second with no advance notice—enabling agentic systems to continue operating uninterrupted.

Temporal’s growing ecosystem of partnerships and framework integrations—including OpenAI, Pydantic, and Vercel—makes it easy for teams to move from experimentation to production without re-architecting their systems. Important R&D initiatives such as Large Payload Storage, Task Queue Priority and Fairness, Execution History Branching, Durable Application Communication (A.K.A Temporal Nexus) and Serverless Execution further reduce the operational burden of running AI at scale and meaningfully enhance developer productivity for all classes of developer—from vibe coders to backend distributed systems engineers.

With the new funding, Temporal will continue investing in open source, expanding its cloud platform, and enabling companies everywhere to move agentic AI out of the lab and into the real world.

About Temporal Technologies:

Temporal is changing how modern software is built through its open-source Durable Execution platform. By guaranteeing the execution of workflows even in the face of system failures, Temporal allows developers to focus entirely on business logic instead of developer plumbing for process crashes, infrastructure, and dependency failures—increasing developer velocity. Its polyglot capabilities allow seamless orchestration across multiple programming languages, making it ideal for both traditional enterprise applications and next-generation AI workloads. Temporal Cloud, the company's managed service backed by the originators of the project, has been adopted by thousands of leading enterprises. Learn more at www.temporal.io.

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"Durable execution is a core requirement for modern AI systems, and Temporal offers a compelling platform to help build it in from the start."