Prefect’s cover photo
Prefect

Prefect

Data Infrastructure and Analytics

Washington, District of Columbia 27,732 followers

ETL, AI/ML Ops, Data Orchestration, MCP. Prefect runs it all.

About us

Modern workflow orchestration for data and ML engineers

Website
http://www.prefect.io
Industry
Data Infrastructure and Analytics
Company size
51-200 employees
Headquarters
Washington, District of Columbia
Type
Privately Held
Founded
2018

Products

Locations

  • Primary

    2112 Pennsylvania Avenue NW

    Washington, District of Columbia 20037, US

    Get directions

Employees at Prefect

Updates

  • Our commitment to open source continues! This year, we’re proud to back the maintainers driving projects like SQLAlchemy, HTTPX, cyclopts, UpdateCLI, and more!

    View organization page for Open Source Pledge

    412 followers

    One year ago, we launched the Open Source Pledge with a singular goal: get maintainers paid. From the start, we designed the Pledge differently. Don't let the name fool you, the "pledge" is not just a promise or an IOU — to become a member, companies have to come with receipts. Before joining, each company has already paid Open Source maintainers at least $2,000 per year for each full time developer on staff. We could have set a lower floor; we could have counted time or code contributions (valuable, but not the goal here), accepted hand-wavy accounting, or promises to give eventually. Instead, we set a high bar, and still, over two dozen companies signed on at launch. In our first year, Pledge members paid out $2.6M to maintainers. But what’s even more remarkable is what they didn’t do: churn. In the non-profit world, typical donor retention rates hover between 40–60%. So far, 96% of our launch members have renewed. That means these companies didn’t just say they care about open source they proved it. They voluntarily paid thousands, tens, even hundreds of thousands of dollars directly to maintainers. In an environment where startups are looking to cut costs everywhere, this speaks volumes. Pledge membership has become a strong signal of values in action — a sign of a company that not only talks about caring, but shows it. Today, as the Open Source Pledge turns one, we want to say: Thank you to every member company for fighting for Open Source and helping make sustainability real. Here’s to another year of getting maintainers paid. 💪

    • Nasdaq Tower in Times Square NYC. 

The tower (which is covered in LEDs) reads
NASDAQ CELEBRATES ONE YEAR OF THE OPEN SOURCE PLEDGE AND THE COMPANIES WHO PAY MAINTAINERS

Below the text are all the member logos of companies who are members. The full list of member companies can be found here: https://opensourcepledge.com/members/
  • Prefect is sponsoring the AI Agent World Tour next week 🚀 Hosted by the great folks at NYC MLOps Community! This event is going to be a great spot for anyone interested in the future of AI agents and how to ship and manage agents at scale. The Prefect team will be there all evening to hang out and chat about what you're building. 🙌 🗓️ Thursday, Oct 16th | 4:30 PM - 9:30 PM EDT 📍 Ideal Glass Studios, NYC 🔗 Register and learn about the event here: https://lnkd.in/gwqne7-2 #MLOps #AI #FastMCP

  • 💡 Did you know we have a native Prefect-dbt integration? Prefect Product Manager, Kevin Grismore, put together a tutorial showing how to deploy a dbt project as a production-ready, scheduled pipeline in under 5 minutes using Prefect (linked below). If you're making the trip to Vegas for dbt Labs' #Coalesce, Kevin and a few other team members will be there to demo Prefect + dbt and chat about FastMCP. We'll be at Booth 415 (October 13–16)! Stop by and say hello. 👉 Prefect and dbt in 5 minutes: https://lnkd.in/gsQrweh2 #dbt #dbtCoalesce #dataorchestration #prefect

  • 💡 Snorkel AI got a 20x throughput improvement on LLM prompting with Prefect Open Source. If you don't know Snorkel AI, they build the data layer for specialized AI: datasets for frontier model providers and AI systems for enterprises. As they scaled, they built their own caching, telemetry, and DAG planning. All in-house. Then something would break and they couldn't easily figure out why or where. They migrated to Prefect and now they're processing tens of thousands of flows daily. "Prefect is our workhorse for asynchronous processing." - Smit Shah Grateful to Smit and the Snorkel team for sharing the story. 👉 Get the full details here: https://lnkd.in/gV8rJ48S

  • View organization page for Prefect

    27,732 followers

    Our commitment to open source continues! Our CTO, Chris White, just published the 2025 update on our Open Source Sponsorship Initiative. We're dedicating $30,000 this year to support the community, maintaining our commitment aligned with the Open Source Pledge initiative. Our focus is the data world, but we're taking a deliberate approach: supporting the "long tail." This means giving greater backing to emerging projects, the tools that often have an outsized impact relative to their visibility. Early support for these dedicated maintainers is transformative for the entire community. We encourage other companies to join us in supporting this ecosystem, whether through financial contributions or dedicating developer time. Every bit helps! 👉 See the full list of projects we're sponsoring, like SQLAlchemy, HTTPX, cyclopts, UpdateCLI, and more: https://lnkd.in/gZDA9uzw #OpenSource #DataEcosystem #Community

  • 🎤 Over the next few weeks, we'll be diving into some of the most insightful moments from the AI Engineering Podcast with host Tobias Macey, featuring Jeremiah Lowin. First up, he describes the Model Context Protocol (MCP) using an "increasingly cliche" but helpful analogy: the USBC for AI. This is all about ensuring all agents can talk to all services without needing to rewrite code every single time. 🎧 Listen to the sound bite and check out the full episode here: https://lnkd.in/gjZW_wtf 

  • Our founder, Jeremiah Lowin, teamed up with Jack Wotherspoon from Google to create an integration with FastMCP and the Gemini CLI. This collaboration makes it incredibly simple to connect a custom Model Context Protocol (MCP) server. With just one command, you can give the Gemini CLI agent access to your own tools and prompts. Both projects are open-sourced, so if you have feature requests or enhancements, feel free to open a new issue on GitHub to let us know. 📖 Learn more about the integration here: https://lnkd.in/g_HsCA9i 👉 Get started now: https://lnkd.in/grQX2qm5 #OpenSource #DeveloperTools #AI #Python #MCP

  • View organization page for Prefect

    27,732 followers

    We’re so excited about this milestone. The team has worked hard to make FastMCP fun to build with, and seeing it take off like this is pretty special. There’s so much more on the way, and we can’t wait to share it with you.

    View profile for Jeremiah Lowin

    Founder & CEO at Prefect. Building FastMCP. Mostly harmless.

    📈 FastMCP was download over ONE MILLION times yesterday! I am astonished and humbled by the framework’s popularity. At no time did I ever expect to see adoption like this. The Prefect team is gearing up to ensure that FastMCP is always the best platform for real-world MCP use cases, bar none. If you’re working on production MCP patterns, we want to hear from you!

    • No alternative text description for this image
  • Thanks for the shoutout Nicholas Wagner! Exciting to see #FastMCP included in this paper on MCP for scientific workflows, and to see authentication recognized as a core challenge FastMCP is built to address 🙌

    View profile for Ben Blaiszik

    Globus Labs | AI for Science | Materials Data Facility | Garden AI |@BenBlaiszik

    Imagine researchers being able to: move data effortlessly across systems, launch simulations on Exascale HPC systems, and run AI models via Garden & Galaxy. All via user or agent intent/language to make the next breakthroughs in energy, materials, and chemistry. We tested MCP servers in scientific workflows including: ⚛️ Chemistry/Materials (MLIPs in Garden, gaps w/ Globus Compute) 🧬 Bioinformatics (phylogenetics across ALCF+NERSC) 📂 Filesystem monitoring (Icicle + Octopus) Read the Paper: https://lnkd.in/dsv6j44T Luckily thin MCP adapters work, so there's no need to rebuild everything. 🙌 We found it’s best to build MCP adapters over existing services (Globus/Galaxy/Garden) instead of new bespoke APIs. with this approach, agents were able to generate the glue code, removing a huge bottleneck for researchers. While we learned that MCP can bridge LLMs and existing scientific infrastructure and we showed that it can work today in chemistry, materials, bioinformatics, and HPC ops …significant challenges remain particularly in: authentication across multiple sites and services, evaluation, and long-running workflows. Read the entire paper and learn about more of our findings here by the amazing team at Argonne National Laboratory, University of Chicago, Globus.org, Argonne Leadership Computing Facility, U.S. Department of Energy (DOE), National Science Foundation (NSF) The Team: Haochen Pan, Ryan Chard, Reid Mello, Christopher Grams, Tanjin He, Alexander Brace, Owen Price Skelly, Will Engler, Hayden Holbrook, Song Young Oh, Maxime Gonthier, me, Kyle Chard, Ian Foster, Michael Papka Read the paper: https://lnkd.in/dsv6j44T

    • No alternative text description for this image

Similar pages

Browse jobs

Funding

Prefect 4 total rounds

Last Round

Convertible note

US$ 14.0M

See more info on crunchbase