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From Metaflow to Outerbounds: A Platform for Your Entire ML Lifecycle
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Unified, Enterprise-Ready ML Workflows
Outerbounds builds on Metaflow’s strengths while offering a comprehensive platform for modern ML teams. Automate workflows, manage compute, and ensure compliance—all in one unified platform that simplifies the path from experimentation to production.
Unified ML Workflow Management
Orchestrate, Scale, and Deploy Seamlessly
Streamline your entire ML lifecycle with advanced orchestration, automated retraining, and seamless deployment. Outerbounds integrates compute management, event-driven triggers, and CI/CD pipelines, enabling your ML workflows to scale effortlessly across clouds.
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Developer Productivity and Flexibility
Workstations and Tools Designed for ML Teams
Boost productivity with secure, cloud-based Workstations tailored for Jupyter and VS Code. Automatically containerize environments with Fast Bakery, and gain real-time insights with rich observability tools like Datadog and Streamlit. Outerbounds empowers data scientists with a Python-first, developer-friendly experience.
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Enterprise-Grade Security and Compliance
Secure, Auditable, and Scalable
Meet the highest security and compliance standards with SOC2/HIPAA certifications, SSO, secrets management, and secure perimeters. Outerbounds provides the trust and flexibility enterprise teams need, including support for bring-your-own policies and global deployments.
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Advanced Data and Model Management
Reproducibility and Production-Ready Workflows
Outerbounds ensures full data lineage, versioning, and seamless integration with Snowflake, BigQuery, Databricks, and more. Manage your models with confidence and scale cutting-edge LLM capabilities using private endpoints, fine-tuning, and NVIDIA integrations.
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Start building today
Drop in any Friday at 9am PT for an open Q&A with our team. Whether you're curious about Outerbounds or have specific questions — nothing is off limits.
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