Temporal Cloud now serves more than 4,300 customers, including OpenAI, Snap, Nvidia, Netflix, and JPMorgan Chase, with annualized revenue run rate over $250 million, more than triple year-over-year.

Growth metrics show an annualized revenue run rate up over 200% year over year, with net dollar retention above 200% since February 2026, 1.9 trillion billable actions processed in August (up over 350% YoY), and open-source installs surpassing 43 million (up 134% since December 2025).

Open-source Temporal installs surpassed 43 million in August, signaling strong developer and enterprise adoption for AI agents and autonomous systems.

Co-founder and CEO Samar Abbas frames Durable Execution as a standard for reliable applications and says the round strengthens Temporal’s capital base to pursue broader enterprise adoption and global reach, with AI agents taking on more critical work.

Abbas emphasizes reliability as essential for AI-era software, arguing the funding provides a foundation for widespread AI-enabled development.

Industry context includes a GeekWire note on Microsoft drafting AI guardrails amid discussions of an industry slowdown.

Temporal hosted its fifth Replay conference at Moscone Center in 2026 and partnered with Crystal Palace as front-of-shirt sponsor, with plans for deeper enterprise investment, further global expansion, another Replay, and ongoing platform work.

The public-facing content largely consists of social metadata, links, and comments, with limited standalone narrative.

Recent integrations include OpenAI Agents SDK GA (March 2026) and Vercel AI SDK for TypeScript; leadership promotions within engineering, sales, and people, and the addition of Hien Phan as VP of Product Marketing.

Temporal, founded in 2019 in Seattle with about 570 employees, intends to use the round to fund global expansion and platform R&D.

The round underscores a strong Pacific Northwest VC surge, reinforcing Temporal’s role as foundational software for next-gen AI-powered systems.

Demand for Temporal grows as AI agents run longer and interact with multiple tools, increasing potential failure points per task.