Anaconda has acquired Outerbounds and its Metaflow-based AI/ML orchestration framework, a transfer that Anaconda says will present a ruled path for AI-native growth at enterprise scale.

Anaconda has acquired Outerbounds, developer of the Metaflow open-source AI/machine studying orchestration and deployment framework, in a transfer that Anaconda stated will present companies and organizations with “a ruled path” for AI growth from experimentation to full-scale manufacturing.
Anaconda, which offers one of many main platforms for knowledge science, machine studying and AI enterprise growth, touted the acquisition as “a major step” within the firm’s evolution to offering a unified platform that spans all the AI-native software program growth lifecycle.
With the addition of Outerbounds, Anaconda stated prospects will profit from an end-to-end enterprise stack that features ruled AI mannequin deployment, production-grade agentic workflows, and trusted software program distribution and environments.
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“For years, Anaconda has served because the trusted basis for AI and knowledge science inside growth, and this acquisition is the pure subsequent chapter,” stated Anaconda CEO David DeSanto, in an announcement. “The longer term belongs to AI-native growth, the place the AI mannequin is the core of how functions are constructed, not one thing bolted on on the finish.”
“The issue enterprises face at the moment is that delivering on that imaginative and prescient requires stitching collectively instruments, platforms, and governance parts that had been by no means designed to work as one, nor to even work with AI,” DeSanto stated. “Till now, no different platform has spanned all the AI-native growth lifecycle. For the primary time, with Anaconda and Outerbounds, enterprises can securely scale advanced, compound AI programs from thought all the way in which to manufacturing on the infrastructure they already belief.”
AI-native functions are “essentially totally different” from conventional software program as a result of the AI mannequin is the core and the functions are “nondeterministic, agent-driven and exponentially extra advanced,” Anaconda stated in a information launch asserting the Outerbounds acquisition.
AI-generated code now accounts for 42 % of all new code, Anaconda stated, citing a survey of greater than 1,100 builders by code verification agency Sonar. However AI-created code produces 1.7 occasions extra defects than human-written code and 80 % of dependencies really useful by AI coding carry identified dangers.
The outcome, in accordance with Anaconda, is that the software program growth course of bottleneck is not writing code, it’s managing every thing the code is dependent upon, throughout distributed infrastructure, with reproducible, safe and constant outcomes.
Open-source Metaflow originated from inside Netflix to deal with demanding AI/ML workloads. The industrial Outerbounds, constructed on Metaflow, offers end-to-end orchestration, experiment monitoring, artifact administration, and scalable compute throughout cloud programs, knowledge platforms and hybrid environments that entry the most recent GPUs.
Metaflow is utilized by engineering groups inside such firms as GE HealthCare, Warner Brothers and Realtor.com.
Anaconda, with greater than 50 million customers, offers builders with safe packages, verified dependencies, trusted environments, reproducible builds and curated open-source AI fashions. With the addition of Outerbounds to Anaconda’s choices, prospects will now have an end-to-end enterprise AI stack that features workflow orchestration, compute administration, experiment monitoring and enterprise governance right into a single platform, Anaconda stated.
Anaconda stated it’s dedicated to the continued growth and assist of Metaflow as an open-source challenge and Anaconda engineers will proceed contributing to Metaflow alongside the Anaconda platform. Metaflow is out there below the Apache License Model 2.0.
“Becoming a member of Anaconda is the second Outerbounds has been constructing towards,” stated Ville Tuulos, co-founder and CEO of Outerbounds, in an announcement. “Anaconda has spent greater than a decade incomes the belief of the world’s largest enterprises, and that belief is precisely the inspiration our prospects have to take AI programs all the way in which to manufacturing with confidence.”
“What makes this mix so highly effective is a shared dedication to Python, reproducibility, and software program engineering greatest practices,” Tuulos stated. “Collectively, we may give knowledge scientists and AI engineers every thing they should transfer from safe environments to production-grade orchestration, and switch AI innovation into actual, measurable outcomes.”









