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Temporal Technologies

Temporal Technologies is an Agent Infrastructure company founded in 2019 and based in Seattle, United States. It has raised $751.5M in total funding, most recently a Series D in 2026 at a $5B valuation.

Provides durable execution infrastructure that ensures AI agent workflows are resilient to failures, with automatic retries, state persistence, and human-in-the-loop orchestration for production-grade agents. OpenAI Agents SDK now pairs with Temporal; launched Durable AI Agents Bundle; Ruby SDK GA in 2025; key infrastructure for production-grade agentic workflows; strong enterprise adoption.

Durable execution solves the core reliability gap that makes AI agents flaky in production — used by NVIDIA, ZoomInfo, and Gorgias to run agents at enterprise scale.

temporal.io Agent Infrastructure

United Statesprivate

At a glance

Total raised

$751.5M

last round series d

Headcount

201-500

approximate · public range

Headquarters

Seattle

United States

Founded

2019

7 years active

Status

Private

Agent Infrastructure

Latest valuation

Funding history

Total raised

$751.5M

Rounds tracked

7

Latest stage

Series D

Latest valuation

$5B

Date	Stage	Amount	Valuation	Lead investors
Feb 17, 2026	Series D	$300M	$5B	Andreessen Horowitz
Oct 1, 2025	Convertible	$105M	$2.5B

Products

Temporal Cloud
A fully managed durable execution platform that offloads the operational burden of running the Temporal Service. Temporal Cloud handles scaling, maintenance, upgrades, and database management so engineering teams can focus on building reliable application logic. It encrypts all data in transit, keeps customer code and sensitive data isolated, and is trusted by top financial institutions for mission-critical payment flows. Temporal Cloud integrates with the open-source Temporal SDKs for a seamless hybrid development experience.
Temporal Open Source (Self-Hosted)
The core open-source durable execution engine that provides crash-proof workflow orchestration. It guarantees that application code resumes exactly where it left off after any failure — whether seconds, days, or years later — by automatically persisting execution state and event history. Developers write business logic as workflows and activities using idiomatic SDKs, while the Temporal Server handles retries, task queues, signals, timers, and state recovery. It is used by Netflix, Stripe, Snap, and Datadog to run critical production processes.
Temporal SDKs
Officially supported software development kits for TypeScript, Go, Java, Python, .NET, and Rust (plus community SDKs for other languages) that let developers write durable, fault-tolerant workflows in their language of choice. Each SDK provides a natural, idiomatic programming model with testing suites, and the ability to rebuild workflow state from history for replay-based recovery. They enable developers to express complex orchestration logic — retries, human-in-the-loop pauses, multi-step rollbacks — as plain code without needing a separate DSL or state machine.
Temporal AI Agent Framework
An emerging product surface purpose-built for orchestrating AI agent workflows with durable execution. It ensures agent pipelines — including LLM calls, tool invocations, and human-in-the-loop approval steps — are resilient to infrastructure failures, with automatic retries and full state persistence. This allows developers to build production-grade multi-agent systems that can survive partial failures, maintain conversation context across interruptions, and recover from API timeouts without losing progress.