Build production-grade ML/AI systems with minimal overhead
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[We] were able to test twice as many models in Q1 2021 as [we] did in all of 2020, with simple experiments that would have taken a week now taking half a day.
Kelly Davis
Staff Software Engineer
A big advantage of Metaflow and Outerbounds is that we started rolling out much more complex models. We used to have simple manually-built heuristics. In six weeks, a team was able to build an ML-based model, A/B test its performance, and roll it out to production.
Thanasis Noulos
VP of Engineering, Trade Republic
Metaflow [ . . . ] helped us avoid the antipattern of needing to push code to find out if something works. We can update our code, run tests locally, get fast feedback, iterate to our hearts’ content and make atomic git commits along the way.
David Tan
Lead ML Engineer
[We] were able to test twice as many models in Q1 2021 as [we] did in all of 2020, with simple experiments that would have taken a week now taking half a day.
Kelly Davis
Staff Software Engineer
A big advantage of Metaflow and Outerbounds is that we started rolling out much more complex models. We used to have simple manually-built heuristics. In six weeks, a team was able to build an ML-based model, A/B test its performance, and roll it out to production.
Thanasis Noulos
VP of Engineering, Trade Republic
Metaflow [ . . . ] helped us avoid the antipattern of needing to push code to find out if something works. We can update our code, run tests locally, get fast feedback, iterate to our hearts’ content and make atomic git commits along the way.
David Tan
Lead ML Engineer
[We] were able to test twice as many models in Q1 2021 as [we] did in all of 2020, with simple experiments that would have taken a week now taking half a day.
Kelly Davis
Staff Software Engineer
A big advantage of Metaflow and Outerbounds is that we started rolling out much more complex models. We used to have simple manually-built heuristics. In six weeks, a team was able to build an ML-based model, A/B test its performance, and roll it out to production.
Thanasis Noulos
VP of Engineering, Trade Republic
Metaflow [ . . . ] helped us avoid the antipattern of needing to push code to find out if something works. We can update our code, run tests locally, get fast feedback, iterate to our hearts’ content and make atomic git commits along the way.
David Tan
Lead ML Engineer
[We] were able to test twice as many models in Q1 2021 as [we] did in all of 2020, with simple experiments that would have taken a week now taking half a day.
Kelly Davis
Staff Software Engineer
A big advantage of Metaflow and Outerbounds is that we started rolling out much more complex models. We used to have simple manually-built heuristics. In six weeks, a team was able to build an ML-based model, A/B test its performance, and roll it out to production.
Thanasis Noulos
VP of Engineering, Trade Republic
Metaflow [ . . . ] helped us avoid the antipattern of needing to push code to find out if something works. We can update our code, run tests locally, get fast feedback, iterate to our hearts’ content and make atomic git commits along the way.
David Tan
Lead ML Engineer
Graduate past isolated ML/AI experiments and ad-hoc workflows
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Smarter machines
built by happier humans
Subscribe to our newsletter
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Smarter machines
built by happier humans
Subscribe to our newsletter
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