Temporal, the open-source platform powering agentic AI applications, has raised $300 million in a Series D financing round at a $5 billion valuation as companies accelerate efforts to move AI systems from pilot projects into production environments. The round was led by Andreessen Horowitz, with participation from Lightspeed Venture Partners and Sapphire Ventures. Existing investors, including Sequoia Capital, Index Ventures, Tiger Global Management, GIC, Madrona Venture Group, and Amplify Partners, also participated.
As companies adopt agentic AI systems that can operate autonomously over extended periods, many have encountered challenges transitioning from experimentation to full-scale deployment. Temporal positions itself as a durable execution layer for long-running, stateful AI systems, designed to ensure reliability even in the face of infrastructure failures.
Over the past year, the company reported more than 380% year-over-year revenue growth, a 350% increase in weekly active usage, and a 500% increase in installations. Installations now exceed 20 million per month, and its cloud product has processed 9.1 trillion lifetime action executions, including 1.86 trillion for AI-native companies.
Temporal’s platform is used across industries to support long-running agents that maintain state, manage infrastructure costs, increase developer productivity, and provide detailed observability into complex AI workflows. Customers span AI labs, startups, and global enterprises.
Organizations using the platform include OpenAI, Replit and Lovable for building large-scale AI agents; Nordstrom for orchestrating streaming infrastructure migrations; ADP for human-in-the-loop HR processes; Abridge for ambient AI deployments across more than 200 healthcare systems; The Washington Post for AI-driven video scene detection; and Block for building agentic development frameworks.
Temporal said its architecture has enabled customers to continue operating during major cloud outages without data loss or manual intervention. In another instance, the platform handled sudden traffic spikes exceeding 150,000 actions per second without advance notice, keeping agentic systems uninterrupted.
The company has also built integrations and partnerships with organizations, including OpenAI, Pydantic, and Vercel. Ongoing research and development initiatives include Large Payload Storage, Task Queue Priority and Fairness, Execution History Branching, Durable Application Communication (Temporal Nexus), and Serverless Execution, all aimed at reducing operational complexity and improving developer productivity.
With the new funding, Temporal plans to expand its cloud platform, invest further in open source, and help enterprises move agentic AI systems into real-world production environments.
KEY QUOTES
“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,”
Venkat Venkataramani, VP App Infrastructure, OpenAI
“Agentic AI doesn’t fail because the models aren’t good enough. 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.”
Samar Abbas, CEO And Co-Founder, Temporal
“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,”
Matt McDole, CTO, Yum! Brands (Taco Bell, KFC)
