Temporal Raises $550M Series E at $12.55B Valuation
Startups / news
Temporal Raises $550M Series E at $12.55B Valuation
The company that keeps AI agents from failing mid-task more than doubled its valuation in seven months, with OpenAI's own infrastructure lead citing its software as a requirement.

Temporal, whose open-source platform helps software and AI agents recover automatically when a step fails, raised $550 million in a Series E on Sept. 14 at a $12.55 billion valuation, more than double the $5 billion valuation it carried seven months earlier.
The round was announced on Temporal's own blog and corroborated independently by SiliconANGLE, which confirmed the round size, the valuation and the investor list. Lightspeed and Wellington Management co-led the round, with Goldman Sachs Alternatives, Tiger Global, T. Rowe Price and SV Angel also participating. Returning investors Andreessen Horowitz, Sequoia, Index Ventures, GIC, Sapphire Ventures and Amplify all put in more money, according to Temporal's announcement.
What changed since the last round
Temporal's Series D closed in February 2026 at $300 million and a $5 billion valuation, led by Andreessen Horowitz. The new round brings the Bellevue, Washington, company's total capital raised to $1.2 billion. Temporal said its annualized revenue run rate passed $250 million this month, up more than 200% year over year, and that its net dollar retention has stayed above 200% since February, meaning existing customers are spending more than twice as much as they were a year ago. Paying customers on Temporal Cloud, the managed version of the platform, now exceed 4,300, up 139% year over year, and include Nvidia, Snap and OpenAI.
The AI-agent framing behind the number
Temporal was spun out as an independent company in 2019 by engineers who had previously built a similar internal system, called Cadence, at Uber. Its core product, Durable Execution, lets developers write ordinary application code while Temporal handles retries and preserves progress across systems if something crashes partway through a multistep task. Samar Abbas, Temporal's co-founder and chief executive, said in a statement carried by SiliconANGLE: "As agents take on more critical work across more systems, every additional step creates another place to fail. In production, that work has to survive those failures and finish reliably." Temporal's own announcement said the platform processed 1.9 trillion billable actions in August, up more than 350% year over year, and that its open-source installs reached 43 million, up 134% since December 2025. Venkat Venkataramani, OpenAI's vice president of infrastructure, said in the same announcement: "Durable Execution is more than ever a core requirement for modern AI systems, and Temporal offers a compelling platform to help build it in from the start. This is one of the main reasons why we invested in building a durable orchestration framework powered by Temporal at OpenAI."
What the company has not disclosed
Both Temporal's own post and SiliconANGLE's account of the round rely on figures Temporal itself supplied. Neither source names a third-party auditor for the revenue or usage numbers, and Temporal has not disclosed profitability, only growth rates. The company said the new capital will go toward product development, infrastructure expansion and sales, without giving a hiring target beyond noting that headcount has already doubled over the past year to about 570 people.
| Temporal funding round | Date | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Series D | February 2026 | $300 million | $5 billion | Andreessen Horowitz |
| Series E | Sept. 14, 2026 | $550 million | $12.55 billion | Lightspeed, Wellington Management |
- Series D, Feb. 20265 $B
- Series E, Sept. 202612.55 $B
Source: Temporal Technologies funding announcement and SiliconANGLE, accessed 2026-09-19
Temporal's raise lands in the same month as two other infrastructure-focused rounds: Cornelis Networks' $205 million raise for AI networking hardware, and Coder's move to general availability for its self-hosted AI coding agents, both betting on the same premise that agents need infrastructure built for their failure modes, not just their capabilities.
Sources
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