Temporal, a US-based software company, has raised $300 million in a Series D funding round, reaching a $5 billion valuation. The round was led by Andreessen Horowitz, with support from Lightspeed, Sapphire Ventures, and existing investors like Sequoia, Index, Tiger, GIC, Madrona, and Amplify.
With the new funding, the company plans to invest more in its open-source tools, expand its cloud platform, and help more businesses move AI agents from testing into real-world use.
Many companies are trying to use agentic AI, but most get stuck at the pilot stage.
Temporal is here to help by offering a reliable system for managing long-lasting, intelligent AI programs. This way, businesses across industries can move from testing ideas to effectively using agentic AI.
“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.
Open-source Durable Execution platform
Founded by Samar Abbas and Maxim Fateev, Temporal is transforming software development with its open-source Durable Execution platform.
The company builds an open-source platform that helps businesses run “agentic AI” systems, an AI program that can complete tasks on its own.
“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 creating new problems, agentic AI tends to expose old ones, such as state management and failure handling. 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.”
While many companies are experimenting with these AI agents, most projects fail to move beyond small tests. Temporal aims to fix that problem.
Its platform provides a reliable execution layer that allows AI systems to run for long periods, recover from failures, and handle complex tasks without losing data. This helps companies turn AI experiments into real products.
According to Temporal, demand for its technology has grown rapidly over the past year. The company reported revenue growth of more than 380% year over year, along with major increases in usage and installations. Its cloud platform now handles trillions of automated actions.
Several large organisations already use Temporal’s technology. Customers include OpenAI, Nordstrom, ADP, Block, Abridge, and The Washington Post. They use the platform to run AI agents, manage infrastructure, and improve reliability in critical systems.
Temporal says its technology allows AI agents to run for days or weeks, control computing costs, speed up product development, and track issues more easily.
