Temporal, a San Francisco, CA-based provider of an open-source platform for reliable agentic applications, has raised $300 million in a Series D funding round led by Andreessen Horowitz and joined by Lightspeed Venture Partners and Sapphire Ventures.
The round also saw participation from Sequoia Capital, Index, Tiger, GIC, Madrona, and Amplify, all of which are insiders.
The company has a $5 billion valuation.
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The company plans to use the funds to support open-source projects, grow its cloud platform, and help businesses move agent-based AI from testing into real-world use.
Temporal is an open-source platform that powers reliable, long-running AI applications. “Durable execution is essential for modern AI systems, and Temporal provides a strong platform to build this from the beginning. As AI systems become more complex and run for longer periods, reliability is just as important as speed. Temporal helps teams focus on building their products while ensuring dependable performance at scale,” said Venkat Venkataramani, VP of App Infrastructure at OpenAI.
As companies rush to adopt agent-based AI, many projects stop at the testing stage—Temporal aims to change that. By offering a reliable execution layer for long-running, stateful AI systems, Temporal helps businesses move agentic AI from early experiments into real production use, closing the gap between testing and full adoption.
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’s how Temporal supports some of the world’s most advanced agent-based AI applications across labs, startups, and global enterprises in multiple industries
- OpenAI, Replit, and Lovable use Temporal to run reliable AI agents at large scale.
- Nordstrom uses it to manage migrations for its streaming infrastructure.
- ADP supports human-in-the-loop AI processes to improve HR operations.
- Healthcare innovators like Abridge use Temporal to deliver Ambient AI to more than 200 healthcare systems.
- Media companies such as The Washington Post rely on it to power AI tools like video scene detection.
- Financial services companies like Block use it to build AI frameworks that boost developer productivity.
In one case, customers using Temporal’s high-availability system kept running during major cloud outages without losing data or needing manual fixes. In another case, Temporal handled sudden traffic spikes of over 150,000 actions per second without warning, ensuring AI systems continued running smoothly.
Over the past year, demand for Temporal’s open-source platform and cloud service has grown rapidly as companies move from AI prototypes to critical production use. The company reported more than 380% year-over-year revenue growth, a 350% rise in weekly active usage, and a 500% increase in installations. It now sees over 20 million installs per month and has processed 9.1 trillion total actions on its Cloud product, including 1.86 trillion from AI-focused companies.
“Durable execution is essential for modern AI systems, and Temporal provides a strong platform to build it in from the beginning.”
“Agentic AI doesn’t fail because the models aren’t strong enough,” said Samar Abbas, CEO and co-founder of Temporal. “It fails because the surrounding systems can’t handle real-world use. Instead of creating new issues, agentic AI often exposes existing ones, such as state management and failure handling. We’ve been solving these problems for years. Temporal’s goal is to make agentic AI run in production as reliably and predictably as any other application, even at scale.”
About Temporal
Founded by CEO Samar Abbas, Temporal is transforming how modern software is built with its open-source Durable Execution platform. It ensures workflows continue running even during system failures, allowing developers to focus on business logic instead of handling crashes or infrastructure issues. Its support for multiple programming languages makes it suitable for both traditional enterprise apps and modern AI workloads. Temporal Cloud, the company’s managed service created by the project’s original team, is used by thousands of leading enterprises.
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