A human-friendly platform for every AI, ML, and data project
Design and develop data intensive projects with friendly, open-source Metaflow. Run, scale and deploy your applications reliably on the fully managed Outerbounds.
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Modern Cloud Workstations for Data Developers
A consistent, familiar development environment for all data developers based on VSCode and Jupyter notebooks, running securely on your own cloud account.
Give data developers superpowers, approved by engineers
Outerbounds includes all the tools you need to prototype ML, AI, and data apps rapidly, execute at scale, and deploy to production confidently. We provide a managed service with battle-hardened infrastructure based on learnings from Netflix and hundreds of other leading organizations.
Easily accessible, efficient compute
At the core of Outerbounds is a scalable, cost-optimized, fully managed Kubernetes cluster which is specifically tuned for data-intensive batch workloads, including demanding GPU needs of modern AI. Access compute easily from built-in cloud workstations, CI/CD systems, or local laptops. Based on your needs, the cluster can be optimized for cost, SLA, and performance.
Integrate seamlessly to data warehouses and surrounding systems
Build reactive systems that automatically train models and process data from Snowflake, Databricks, and open-source data lakes. Integrate results and models to existing business processes, dashboards, and services. Orchestrate data engineering, ELT and ETL, as well as data science, ML, and AI on a unified platform.
Secure & SOC2 Compliant
Get the convenience of a fully managed service with the security and the flexibility of a custom on-premise solution. The platform deploys fully on your cloud account, staying compliant with your existing security policies and data governance requirements. Define policies and guardrails for your data operations, enforced by standard cloud security tools with full audit logs.
Knowledgeable, friendly support both for people and infrastructure
Besides managing the platform for you 24/7 with a guaranteed SLA, we provide a dedicated Slack channel for your data developers and engineers for quick support - not only for infrastructure-related questions but also for best practices related to building real-world, production-grade ML, AI, and data systems.
Outerbounds
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Open-Source Metaflow
We are happy to support you through the community Slack workspace, if you want to adopt open-source Metaflow for free. If you want to avoid engineering investment and operational burden, benefit from advanced features, and dedicated support, choose the Outerbounds Platform.
Human-friendly development of data science & ML workflows
Deployed in your cloud account
Support local prototyping and testing
Unified tracking and versioning across the stack
Define business logic in open-source without lock-in
Integrates to data warehouses and data lakes
Strongly backwards compatible to avoid costly migrations
Enterprise-grade security, auth, and compliance
Scalable, cost-optimized orchestration and compute
Fine-tune and use custom foundation models
Managed, real-time eventing to connect to surrounding systems
24/7 monitoring, operations, and SLA for the full stack
Dedicated support for your data science and engineering teams
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With effort
With effort
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Emerging
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Our teams go over rigorous experiments while developing models. The platform has allowed us to execute and train models without the burden of worrying about infrastructure. The ability to scale our operations both vertically and horizontally, and launch parallel experiments and pipelines, has made Metaflow and Outerbounds an appealing choice for our ML team, significantly enhancing our productivity.
Soma S Dhavala,
PhD, Director, Wadhwani Institute for AI
