Funding

Washington-Based Temporal Raises $550M in Series E Funding

Sep 15, 2026 | By Devin Jacobs

SUMMARY

Temporal raised $550M in Series E funding.
Funds will support global growth and R&D.
Temporal builds software for reliable applications and AI agents.

Temporal, a Seattle, WA-based provider of an open-source durable execution platform, has raised $550 million in Series E funding led by Lightspeed, Wellington Management, Growth Equity at Goldman Sachs Alternatives, and Tiger Global, at a $12.55 billion valuation.

The round also saw participation from T. Rowe Price, SV Angel, a16z, Sequoia, Index, GIC, Sapphire Ventures, and Amplify.

The company plans to use the capital to expand global operations, deepen platform R&D, grow developer and enterprise go-to-market teams, and scale its infrastructure.

Funding Snapshot

Metric	Details
Fundraise Amount	$550 million
Funding Stage	Series E
Valuation	$12.55 billion
Company	Temporal
Sector	AI Infrastructure / Software
Headquarters	Seattle, Washington

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About Temporal

Founded in 2019 by Samar Abbas and Maxim Fateev, Temporal is an open-source platform for building and running business-critical applications, and long running AI agents. Its core technology, Durable Execution, preserves application state so applications can continue and complete their work even when failures occur.

Core offerings include:

Durable Execution
Open-source application platform
Long-running AI agent infrastructure
Developer and enterprise application infrastructure

Core Technologies / Products / Services

Capability/Product	Application/Use Case
Durable Execution	Keeps application state and enables reliable execution
Open-source Platform	Helps developers build critical applications
AI Agent Infrastructure	Supports long-running and autonomous AI agents
Developer Tools	Enables applications using preferred languages, models and infrastructure

Leadership Comments

“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,” said Samar Abbas, co-founder and CEO of Temporal Technologies. “Temporal was built for this problem.

"Every team building on AI hits the same wall: the demo is easy, production is hard, because the systems around the models can't handle real-world execution," said Anoushka Vaswani, Partner at Lightspeed Venture Partners. "Most of the market solves that by locking teams into a proprietary stack.