# Prefect **Source:** https://geo.sig.ai/brands/prefect **Vertical:** Data & Analytics **Subcategory:** General **Tier:** Emerging **Website:** prefect.io **Last Updated:** 2026-04-14 ## Summary SF Python workflow orchestration at 200M+ tasks/month; $46.1M from Bessemer/Atreides/Positive Sum with open-source + Prefect Cloud competing with Dagster and Temporal for data engineering pipeline orchestration and failure recovery. ## Company Overview Prefect is a San Francisco-based Python workflow orchestration platform — backed with $46.1 million in total funding from Atreides Management, Bessemer Venture Partners, Positive Sum, and Calm Ventures — providing data engineers and data science teams with open-source and cloud-hosted tools for building, scheduling, observing, and recovering data pipelines that coordinate the complex dependencies between data transformation tasks, API calls, model training jobs, and reporting workflows. Processing 200+ million tasks per month across its user base, Prefect offers both the open-source Prefect Core library (self-hosted) and Prefect Cloud (managed orchestration with UI, alerting, and team collaboration features), serving data-intensive companies where pipeline failures and stale data create downstream business impact. Prefect's workflow orchestration platform addresses the reliability gap that data teams face as their pipelines scale: a data engineering team running 50 interdependent data transformation jobs in Airflow discovers that when one step fails at 3 AM, the entire DAG halts without useful context — operators wake to find that dashboards are showing stale data, the ML model training job was skipped, and it's unclear whether the partial runs created inconsistent state in the data warehouse. Prefect's design philosophy ('negative engineering' — building infrastructure that handles failures gracefully rather than requiring engineers to write failure-handling boilerplate) provides automatic retries with configurable backoff, structured logging that captures task state for post-failure debugging, and a reactive notification system that alerts the right team member when specific pipeline components fail rather than generating undifferentiated alert noise. The Python-native API (decorating existing Python functions with @flow and @task rather than requiring DAG syntax rewriting) allows data teams to adopt orchestration without rewriting existing code. In 2025, Prefect competes in the workflow orchestration, data pipeline management, and MLOps infrastructure market with Temporal (general-purpose workflow engine, $103M raised at $1.5B valuation), Dagster (data orchestration platform, $78M raised), and Astronomer/Apache Airflow (managed Airflow, $213M raised) for data engineering team pipeline orchestration and observability platform adoption. Bessemer Venture Partners' investment reflects data infrastructure conviction in the orchestration category. The 200M+ monthly task volume validates production-scale adoption. The 2025 strategy focuses on the enterprise data platform segment (companies migrating from Airflow at scale), building the AI-assisted pipeline debugging for faster failure root cause analysis, and expanding the integration with dbt, Snowflake, and Databricks for the modern data stack workflow coordination use case. ## Frequently Asked Questions ### What is Prefect? Prefect is a Python-based workflow orchestration platform founded in 2018 that empowers data teams to build resilient, adaptable data pipelines. The platform automates over 200 million data tasks monthly for organizations ranging from Fortune 50 companies to innovative startups. ### What products and services does Prefect offer? Prefect offers Prefect Cloud (a SaaS orchestration platform), a workflow orchestration engine, Python-based data pipelines, task scheduling and automation, and dataflow automation solutions. ### Who are Prefect's typical customers? Prefect serves diverse organizations including Fortune 50 companies like Progressive Insurance and innovative disruptors like Cash App. The platform is designed for data teams that need to build and manage data pipelines. ### When was Prefect founded and by whom? Prefect was founded in 2018 by Jeremiah Lowin. ### Where is Prefect located? Prefect is based in Washington, DC, with additional hubs in Chicago and the SF Bay Area. ### How much funding has Prefect raised? Prefect has raised $46.1M in total funding from 24 investors, including an $11.5M Series A round led by Positive Sum. Other investors include Atreides Capital, Bessemer Venture Partners, and Calm Ventures. ### What are Prefect's key achievements and metrics? Prefect automates over 200 million data tasks monthly and serves customers ranging from Fortune 50 companies to startups. ### What makes Prefect's technology approach unique? Prefect offers a developer-first approach with Python-native workflows, making it particularly accessible for data teams already working in Python. This Python-based orchestration differentiates it in the workflow automation market. ### Who are Prefect's main competitors? Prefect competes with Temporal, Dagster Labs, and Astronomer in the workflow orchestration market. ### Is Prefect a Y Combinator company? No, Prefect is not a Y Combinator company. ## Tags analytics, automation, b2b, open-source, saas --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*