- Specialization
- Distributed Computing
- Business
Software Applicationsand 1 more business valuesLess
- Compute Hosting
- Market
- Software Development
- Ecosystem
- Not classified
- Customers
Developersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Not classified
- Business
- Software Applications, Compute Hosting
- Specialization
- Distributed Computing
- Market
- Software Development
- Customers
- Developers, Enterprises
- Delivery models
- Open Source, Managed Compute, On Premise Software
- Revenue models
- Usage Based
- Listing status
- Not classified
- Latest equity round
- Series D
- Reported funding amount
- $200M-$1B
About
Temporal builds an open-source Durable Execution platform for long-running workflows and distributed applications, selling primarily to platform engineers and teams operating distributed systems. Its key differentiator is reliably preserving and resuming application execution through failures such as network outages and server crashes, with a managed cloud offering for production use.
Market
Temporal competes in durable execution and application workflow orchestration, particularly for long-running, stateful microservices and agentic AI workloads. It positions itself as a code-first, open-source, polyglot platform with built-in persistence, retries, task queues, and failure recovery, available either self-hosted or through Temporal Cloud. Its differentiation is that it focuses on durable microservice and application execution rather than the Python-native batch data-pipeline focus of tools such as Airflow, Prefect, and Dagster, while also offering a general-purpose architecture that can integrate with existing enterprise systems and multiple programming languages.
Temporal primarily targets engineering and platform teams at large enterprises and high-growth technology companies that run mission-critical, distributed, long-running workflows in areas such as payments, e-commerce, air travel, customer onboarding, and AI. Its technical buyers are backend, platform, infrastructure, and engineering leaders seeking production reliability, scalability, and simpler state management; it also serves startups, AI companies, research labs, and major technology organizations.
At a Glance
Problem
Temporal addresses the reliability problem in distributed software: long-running workflows span multiple services, machines, APIs, and sometimes human intervention, so crashes, timeouts, and partial failures can leave work incomplete or force developers to rebuild state management, retries, and recovery logic. The economic pain is largely engineering capacity, operational risk, duplicated work, and customer-facing incidents. Replit migrated its coding agent to Temporal to improve reliability and free platform-team time, while Coinbase replaced a custom Saga engine to process millions of crypto transactions more reliably and increase developer velocity. AI coding agents that must preserve state across long-running tasks and operate reliably at scale are a particularly strong use case.
Product / Service
Temporal is an open-source durable-execution platform. Developers model application processes as workflows; Temporal records state as the workflow advances, automatically retries failed or timed-out activities, and resumes execution from the correct point after a crash or interruption. This lets teams write business logic without building as much bespoke orchestration and failure-recovery infrastructure, while supporting long-running execution and human intervention.
The software is available for customers to run themselves under the MIT license, or Temporal can host the service for them through its managed cloud offering. The resulting benefit is application behavior that is resilient to infrastructure and dependency failures, with less manual recovery work and more predictable execution for complex processes.
Market
Temporal competes in durable execution and workflow orchestration, alongside platforms and frameworks such as Kestra, Akka, Camunda, AWS Step Functions, Netflix Conductor, Inngest, and Apache Airflow. Its differentiation is a code-oriented execution model focused on preserving workflow state and making retries, recovery, and long-running application logic reliable, rather than limiting orchestration to short-lived configuration-defined pipelines.
Temporal is clearly commercial and not pre-revenue. Temporal Cloud surpassed 1,000 customers in April 2024; a March 2025 company announcement cited more than 2,500 customers globally and revenue; and in February 2026 the company announced a $300 million Series D at a $5 billion valuation. The company has also highlighted large-scale production adoption, including Replit’s AI coding agent and Coinbase’s transaction infrastructure.
Founders & Leadership
Funding History
Amplify Partners
Sequoia Capital
Index Ventures
Greenoaks
Tiger Global Management
GIC
Andreessen Horowitz (a16z)
Recent News
Temporal announced that the team behind Oso had joined the company to accelerate work on making fine-grained authorization native to AI agent execution. The work is intended to support identity propagation and policy enforcement as agents use tools and access business-critical data.
Temporal announced a $550 million Series E on September 14, 2026, at a $12.55 billion valuation. The round was co-led by Lightspeed, with Wellington Management, Growth Equity at Goldman Sachs Alternatives, and Tiger Global; T. Rowe Price, SV Angel, and returning investors also participated.
On September 9, Temporal expanded its partnership with Crystal Palace to become the front-of-shirt partner of Palace Women. The announcement extends Temporal’s existing relationship with the club to its women’s team.
Temporal announced its August product updates, including Serverless Workers for AWS Lambda and the Google GenAI integration entering public preview. It also highlighted Deep Agents and Activity Operations in pre-release or preview, Worker Performance becoming generally available, and new .NET and TypeScript Nexus SDK support.
Temporal released its “2026 State of Development Report: AI Agents,” based on a survey of 554 engineers and engineering leaders. The report found that 80.8% of respondents use AI agents daily or more, up from 47.3% a year earlier, while 91.1% said agents had improved or revolutionized their productivity.
On 2026-08-19, reports said Temporal Technologies was in talks to raise approximately $500 million in a new funding round. The proposed financing could value the company at more than $12 billion.
Temporal published a post describing MongoDB Atlas and Temporal working together on durable retrieval-augmented generation and AI-agent systems. The joint reference architecture assigns Atlas data, embeddings, vector search, and agent memory, while Temporal provides durable workflow execution and orchestration.
Temporal published a customer-focused post describing how HeyGen powers workflows with Temporal. The item was listed on Temporal’s blog as published on August 6, 2026.
Temporal announced Serverless Workers, Standalone Activities, Workflow Streams, and new integrations with Google ADK and the OpenAI Agents SDK at Replay 2026.
Temporal announced that it had achieved the AWS AI Competency, reinforcing its positioning around reliable infrastructure for agentic AI workloads.
Temporal announced a $300 million Series D financing at a $5 billion valuation to support reliable agentic AI for companies.
Temporal announced that the OpenAI Agents SDK could be paired with Temporal’s durability to build production-ready AI agents; the update also referenced Terraform support for Temporal.
Active Roles
56Business Model
Temporal monetizes its managed Temporal Cloud platform through base-plan and consumption-based pricing tied to Actions and storage. Its open-source project can be used and self-hosted for free, while customers pay for managed production infrastructure and usage.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Tiger Global Management; Index Ventures; Sequoia Capital; MongoDB; GIC; 8 more