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Data That’s Always Trackable, Versioned, and Ready
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Data Management That Fuels Your Entire ML Lifecycle
Outerbounds transforms how you manage data for machine learning. By seamlessly integrating versioning, lineage tracking, and scalability, it ensures your data is always reproducible and secure. More than a data management tool, Outerbounds connects data to your broader ML workflows, unifying experiment tracking, compute, and deployment into a single, powerful platform.
Data Versioning Built In
Every Experiment, Every Dataset
Automatically version datasets used in experiments. Outerbounds stores all data as immutable artifacts in your cloud, ensuring every step is reproducible and traceable.
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Complete Lineage Tracking
From Raw Data to Deployed Models
Track every transformation and feature engineering step. Outerbounds ensures you can always trace the data journey throughout your ML pipeline.
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Privacy and Compliance
Data Stays in Your Cloud
Keep sensitive data secure and compliant. Outerbounds ensures all data remains within your cloud environment, addressing privacy concerns for regulated industries.
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Scalable and Flexible
Connect to the Tools You Trust
Integrate with Snowflake, BigQuery, or S3 for seamless data access. Leverage scalable cloud resources for processing even the largest datasets without slowing down your ML workflows.
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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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Trusted by the best
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