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One balanced platform for all ML, AI and data projects

You could stitch together a custom ML and data platform from individual tools but this rarely results in a great user experience, hurting productivity. Complete platforms exist, but they are often either overly simplistic for real-world business-critical use cases or are overly complex to use.

Outerbounds, powered by open-source Metaflow, carefully balances the needs of real-world applications, engineers responsible for the overall health of systems, and AI/ML developers who benefit from a delightfully human-friendly user experience.

24/7 enthusiastic support, guaranteed SLA

Outerbounds is fully managed, so your researchers and engineers get a solid foundation without having to reinvent the wheel.

Get enthusiastic and knowledgeable 24/7 support, so you can develop and deploy ML, and AI systems quickly, leveraging our experiences from hundreds of leading organizations.

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Deploy a free trial in 15 minutes

Get started in your account with a few clicks. Dedicated sessions and office hours ensure your teams are productive with minimal effort.

Trusted by the best

Wow I didn't realize how much of the infrastructure needs Metaflow takes care of!
Goku Mohandas
Machine Learning Lead
,
Anyscale
I really appreciate the clean syntax and the seamless transitioning from dev to dev-at-scale to prod-at-scale
Fabien Pertuy
Machine Learning Principal Scientist
,
Sanofi
There's a lot of good ideas made practical in Metaflow to help ML projects and developers focus on what's important.
Matthew Seal
Principal Engineer
,
Confluent
I've been using Metaflow for years now. I can't endorse it nor the people behind it enough!
Will High
Senior Director, Data Science
,
Tala
Very impressive level of polish in the Metaflow docs/tutorials. Pretty incredible how many details have been abstracted away by Metaflow.
Howard Wu
Analytics Consultant
,
Freelance
MetaFlow has a really fantastic API.  Most DAG systems could learn from it.
Tristan Zajonc
Co-Founder & CEO
,
Continual
Thanks for Metaflow: it's a pleasure to use!
Laure Vancau
Biomedical Data Engineer
,
Swiss Data Science Center
Metaflow has helped us avoid the anti-pattern of needing to push code to find out if something works
David Tan
,
REA
Been using metaflow for a while now, and love it. At its best, it hugely speeds up our development cycles
Harvey Pratt
Chief Executive Officer
,
The Promenade AI
In six weeks, a team that hadn’t used Metaflow before was able to build an ML-based model, A/B test its performance, which handily beat the old simple approach, and roll it out to production.
Thanasis Noulas
VP of Engineering
,
Trade Republic
Metaflow is such an amazing tool!
Ben Brandt
Software Architect
,
Eventellect
Metaflow was recommended at work. I spent some time with it today... it's amazing. Their tagline is on-point: "Build and manage real-life data science projects with ease."
Martin Beierling-Mutz
Full Stack Developer
,
Heroic Story
One of the things I liked about Metaflow from Netflix is their clear documentation on "Dealing with Failures": it's important to raise awareness about "retry" logic, transient/permanent failures, idempotent operations, etc.
Emre Sevinç
Co-Founder & CTO
,
TM Data ICT Solutions
The MLOps piece of tech I'm most excited about is @MetaflowOSS. Just from reading the docs I'm amazed at how a large, enterprise company like Netflix seems to have really, really grasped the developer experience in the way I'd only expect 'smaller' projects to do.
Mark Goodhead
Chief Executive Officer & Co-Founder
,
Synacti
Metaflow has really been helping in speeding up our ds workflows!
Utkarsh Vashisth
Machine Learning Engineer
,
Sanofi
Thanks for a fantastic product ❤️
Sam Thelin
Principal AI Scientist and Technical Lead
,
SAP
I love Metaflow!
Deniz Zorlu
Member of Technical Staff
,
Contextual AI
We are saving over 90% of the @awscloud cost in our #artificialintelligence model training phase. We've just finished the automation of our AI pipelines through the implementation of @MetaflowOSS , and the migration from http://H2O.ai
Rafael Garcia Navarro
Chief Data Scientist
,
Provenir
Very impressive work! Easily mix multiple Python virtual environments and compute resources within a single pipeline 🤯 using #Metaflow
Samuel Sinayoko
Machine Learning Engineer (ED)
,
J.P.Morgan
Outerbounds was like Metaflow, but with a ‘plus plus’—it made everything easier.
Camelia Hssaine
Head of Data Science
,
Black Crow AI
Maybe we'll be talking about this as the "Airflow for Data Science" in a few years. Not replacing Airflow, but in the sense that it's the default standard for orchestrating data science projects like Airflow does for data engineering pipelines.
James Densmore
Director of Engineering
,
HubSpot
As an informal estimate, our #datascience team believes they were able to test twice as many models in Q1 2021 as they did in all of 2020, with simple experiments that would have taken a week now taking half a day.
Kelly Davis
Software Engineer
,
CNN
By unifying our data and ML pipelines we can now automatically train models when an underlying warehouse table is updated which drastically improves efficiency and collaboration.
Marc Millstone
Director of Engineering
,
Flexport
A space I'm excited about: 'open source on top of public cloud tech.' Instead of using open source libraries (which you have to run & scale, e.g. RabbitMQ), it uses infinitely-scalable off-the-shelf cloud services (e.g. SQS). Metaflow is a good example!
Zack Kanter
Founder & CEO
,
Stedi
Metaflow has made my daily life as an ML engineer so much easier, especially as we scale our efforts. I've never worked with a framework that works out of the box as well as metaflow.
Mike Bentley Mills
Senior Machine Learning Engineer
,
Valar Labs
❤️ metaflow! The people-first API design is fantastic.
Adam Laiacano
Principal Engineer, Recsys & MLOps
,
NVIDIA
I've been extremely impressed by the Metaflow team. They have built something that's loved by everyone, so much so that they have Metaflow sad hours to encourage people say what can be improved. In my conversations with our users, I've often heard that Metaflow is one of the best software Netflix has ever built.
Nurcan Sonmez
Engineering Manager
,
Netflix
Bumped into Metaflow at work, plus @HamelHusain seems excited about it, so I am excited about it 🙂 But after watching the video, wow 😲
Radek Osmulski
Senior Data Scientist
,
NVIDIA
The end-to-end ML management in Outerbounds—event triggers, experiment tracking, managed artifacts—was a game-changer for our small team.
Aman Ibrahim
Founder / CEO
,
Deeptrust
Outerbounds has proven to be transformative for us. The platform has allowed us to execute and train models without the burden of worrying about infrastructure
Soma S Dhavala, PhD
Director
,
Wadhwani AI
Built with the core idea of allowing ML engineers and data scientists to use Python as native way to work, this friendly approach has tremendously boosted Carsales productivity in ML
Samuel Than
Senior MLOps Engineer
,
Carsales
Metaflow records the result of every step to S3. IMO the ability of metaflow to expose individual components of a complicated process is a big deal. Like, a really big deal.
David Neuzerling
Manager, Econometrics
,
Mastercard
The team has shaved months off the time it takes to build a productionized machine learning model, and at the same time improved the overall collaboration of the data science organization with other departments!
Nicole Murphy
Executive Vice President
,
Realtor.com
Decoration

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