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One platform for all your ML and data science projects
Design and develop data intensive projects with human-friendly, open-source Metaflow. Run, scale, and deploy them reliably on the fully managed Outerbounds Platform.
Schedule a callRun and execute on the fully managed
Outerbounds Platform
Data
Compute
Workflows
Deploy
Track, version and observe automatically
Access data securely from your existing data warehouses
Compute with a cluster optimized for scale and cost
24/7 managed orchestration for production workflows
Use results to power any application
Give your data scientists superpowers, approved by your engineers
Outerbounds Platform allows data scientists to develop rapidly, experiment at scale, and deploy to production confidently. All within the outer bounds of policies and processes defined by your engineers, running on your cloud account, fully managed by us.
Secure by design
Security is in our DNA, not at the perimeter. The platform adapts to your policies and compliance requirements through multiple layers of security: Centralized auth, a strict permission boundary, granular task execution roles, and seamless secrets management. Naturally no data or code ever leaves your account.
Managed High Availability
Outerbounds Platform encapsulates years of experience and hard-earned lessons in managing demanding, business-critical ML and data workloads. It provides a headache-free experience for data scientists and engineers alike - backed by responsive, dedicated support.
Efficient Compute
At the core of Outerbounds Platform is a scalable, cost-optimized, fully managed Kubernetes cluster which is specifically tuned for data-intensive batch workloads. You provide models and business logic, the platform takes care of executing them. Based on your needs, the cluster can be optimized for cost, SLA, and performance.
Flexible Integrations
To produce sustainable business value, data and ML needs to be tightly integrated into data sources, surrounding systems, and business processes. Encapsulate your business logic in custom extensions and configure the platform to react to external events in real-time.
Deploy in your cloud account in minutes. Start shipping projects on the same day.
Save operational resources, increase uptime, reduce risk, and lower AWS costs - and make engineers and data scientists happy.
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Iterate and innovate on models and business logic over infrastructure that just works
Modern ML and data applications require an intricate stack of infrastructure. Outerbounds Platform encapsulates hard-earned lessons and best practices from hundreds of organizations, so you can use your engineering muscle to help your business, not to reinvent the wheel.
Outerbounds Platform | Self Service Metaflow Stack | Unintegrated Point Solutions | |
|---|---|---|---|
Human-friendly development of data science & ML workflows | - | ||
Deployed in your cloud account | Depends on vendor | ||
Support local prototyping and testing | Depends on vendor | ||
Unified tracking and versioning across the stack | Requires multiple vendors | ||
Define business logic in open-source without lock-in | Depends on vendor | ||
Integrates seamlessly to your existing infrastructure | Depends on Vendor | ||
Strongly backwards compatible to avoid costly migrations | Rarely | ||
Enterprise-grade security, auth, and compliance | With effort | Depends on vendor | |
Scalable, cost-optimized orchestration and compute | With effort | Requires multiple vendors | |
Managed, real-time eventing to connect to surrounding systems | With effort | Depends on vendor | |
24/7 monitoring, operations, and SLA for the full stack | With effort | Requires multiple vendors | |
Dedicated support for your data science and engineering teams | With effort | Depends on vendor |
Let's chat about your ML and data needs
Talk to a real knowledgeable human being, not an AI (although we can help you build one).
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