Temporal Technologies, the inventors of open-source durable execution platform Temporal.io and Temporal Cloud, announced $146 million in Series C funding at a $1.72 billion post-money valuation. The round was led by Tiger Global with participation from StepStone Group, Amplify Partners, Index Ventures, MongoDB Ventures, Sequoia Capital, Conversion Capital, Hanwha Next Generation Opportunity Fund, and 137 Ventures. This round raised the total to $350 million.
The new funding round will accelerate product development for its enterprise-grade managed service, Temporal Cloud, and expand the reach of Temporal’s durable execution platform beyond mission-critical workloads in payments, e-commerce, air travel, and disruptive digitally native companies, and into AI use cases of all types. And to support this expansion, Temporal plans to double down on go-to-market programs while continuing to invest in R&D for AI use cases.
Temporal’s R&D efforts will enhance reliability, security, and usability to support broader developer adoption. And the key initiatives include further improving developer experience, continued innovation on Nexus, a durable RPC solution, public cloud availability for Azure, enabling cross-cloud and hybrid availability solutions, along with additional targeted AI-focused capabilities.
Temporal is changing how modern software is built by guaranteeing the execution of complex, long-running workflows, even in the presence of system failures. And this enables developers to focus entirely on writing business logic without dealing with infrastructure complexities. Thousands of leading enterprises such as Snap, Netflix, Hashicorp, Box, Datadog, and many others use Temporal to eliminate the complexity of distributed systems and ensure applications run reliably at scale. Temporal also powers AI initiatives across industries, from foundational projects at major AI labs and chip makers to AI modernization projects at Fortune 500 companies.
Launched in 2019, Temporal has been adopted by more than 183,000 weekly active open-source developers and has been deployed in over 7 million unique Temporal clusters, marking 600% growth in developer adoption in the last 18 months. Temporal Cloud, the company’s hosted commercial offering, has been adopted by over 2,500 customers globally, with revenue growing 4.4x in the past 18 months and Net Dollar Retention of 184%. And the technology is delivered open-source under an MIT license and is now used by hundreds of thousands of developers around the world.
This funding follows a year of hypergrowth for Temporal, which continues to grow as reliable, failure-proof software becomes table stakes for organizations. And the company has seen rapid growth in the emergent AI space, with hundreds of new AI companies, leading research labs, and major chip manufacturers becoming customers in the past six months. Plus, many of these organizations have adopted Temporal’s platform over purpose-built AI tools for its proven reliability in production environments and compatibility with their existing technology infrastructure.
Temporal’s “polyglot” capabilities enables the platform to orchestrate applications and functions written in any of its supported programming languages, allowing modern AI use cases to interact with older or different technologies. This is especially powerful for traditional enterprises where AI-driven modernization is hindered by compatibility issues with more legacy technologies.
KEY QUOTES:
“Temporal’s unique programming model, open source posture, and out-of-the-box reliability guarantees make choosing it as our de facto agentic backend a no-brainer. We can’t be locked into single task tools that don’t work with our existing technology stack, and our developers love using it.”
- Stefan Petrica, Director of Engineering at Sinch
“Developers shouldn’t have to worry about failures, retries, or timeouts when building applications. This funding allows us to advance our mission of making execution reliability the default, whether for traditional enterprises or the next generation of AI-driven workloads. While many are rushing to build single-purpose tools, our general-use architecture is proving more effective for AI workflows while working within existing systems. We deliver production-grade resilience and reliability to every agentic workload out of the box without specialized or additional overhead.”
- Samar Abbas, co-founder and CEO of Temporal
