Sold by: Sphere AI
Sphere enables enterprises to securely package, manage, and distribute governed datasets to AI teams with built-in access controls, compliance automation, and licensing workflows.
Overview
Sphere - Governed Data Distribution for AI
Sphere is a cloud-native data-distribution platform that enables enterprises to securely package, manage, and deliver high-value datasets to AI teams. With granular access controls, automated compliance workflows, usage analytics, and licensing management, Sphere supports safe and scalable data sharing across cloud environments.
The Challenge Enterprises hold valuable datasets that AI teams need for model training and development. However, sharing this data securely - while maintaining compliance, enforcing usage policies, and managing commercial licensing - remains complex and risky without purpose-built tooling.
How Sphere Works Sphere acts as a governed marketplace between enterprises and AI labs, enabling organizations to license their data on their own terms while maintaining full control over access and usage.
Key Capabilities Secure Data Onboarding: Connect AWS storage and ingest datasets with governance-ready metadata, ensuring data is properly cataloged and protected from the start. Granular Access Control: Enforce permissions, usage policies, and auditability for both internal and external AI teams. Define exactly who can access what data and under what conditions. Compliance Automation: Built-in workflows for policy enforcement, data lineage tracking, and audit logs reduce manual compliance overhead and minimize risk. Dataset Packaging: Create governed, license-ready dataset bundles specifically designed for AI development workflows. Distribution and Licensing: Publish datasets to AI teams and manage commercial licensing directly through the Sphere platform. Enterprises set their own licensing fees and terms. Usage Analytics: Monitor dataset consumption, access patterns, and compliance signals to maintain visibility into how your data is being used.
Benefits for AWS Customers Accelerate AI Development: Provide AI teams with governed, ready-to-use datasets that eliminate data preparation bottlenecks. Reduce Compliance Risk: Automated policy enforcement ensures data sharing meets regulatory and organizational requirements without manual intervention. Simplify Data Licensing: Manage commercial distribution and licensing workflows in one platform, turning data assets into revenue streams. Native AWS Integration: Integrates with AWS storage and identity systems for seamless deployment within existing cloud infrastructure. Enable Secure Collaboration: Share data safely with internal teams and external partners through governed access controls and audit trails.
Who Is Sphere For? Sphere is designed for enterprises that hold high-value datasets and want to monetize or distribute them to AI labs and development teams. It serves data governance teams, data product managers, and AI/ML leaders who need a secure, compliant, and scalable way to share data assets.
Getting Started Deploy Sphere within your AWS environment, connect your existing storage, and begin packaging datasets for governed distribution to AI teams and partners.
Highlights
- Governed Data Distribution for AI Teams - Sphere enables enterprises to securely package, manage, and deliver high-value datasets to AI labs through a purpose-built platform. With granular access controls, automated compliance workflows, and built-in licensing management, organizations maintain full control over how their data is shared and monetized while accelerating AI development initiatives.
- Automated Compliance and Access Control - Reduce compliance risk with built-in policy enforcement, data lineage tracking, and comprehensive audit logs. Define granular permissions and usage policies for internal and external teams, ensuring every data access event is tracked, authorized, and auditable without manual overhead or custom tooling.
- Native AWS Integration and Data Licensing - Connect directly to AWS storage and identity systems for seamless data onboarding with governance-ready metadata. Publish governed dataset bundles to AI teams and manage commercial licensing through Sphere, enabling enterprises to set their own terms and turn data assets into scalable revenue streams.
Details
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Delivery method
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Scan up to 500 GB | Single scan of a dataset up to 500 GB. | $5,000.00 |
Scan 500 GB - 5 TB | Single scan of a dataset from 500 GB to 5 TB. | $15,000.00 |
Scan over 5 TB | Single scan of a dataset over 5 TB. | $25,000.00 |
Dimensions summary
Pricing is organized by the size of the dataset you scan. You pay per single scan, and the rate depends on which size band your dataset falls into. One band covers datasets up to 500 GB. A second band covers datasets from 500 GB to 5 TB. A third band covers datasets over 5 TB. These are not tiers you subscribe to. Instead, you choose the scan option that matches each dataset's volume. Each scan is billed as a unit, so costs scale with how many scans you run and how large each dataset is.
Top-of-mind questions for buyers
A scan is a single pass over one dataset. You pay for each scan based on that dataset's size band: up to 500 GB, 500 GB to 5 TB, or over 5 TB. Scanning the same dataset again counts as another scan and bills separately.
The band is set by the dataset's total volume. A dataset at or below 500 GB falls in the first band. From 500 GB to 5 TB uses the second band. Anything over 5 TB uses the third band. You pick the option matching each dataset's size.
The scan dimensions bill per single scan by dataset size. Licensing data through the marketplace is a separate transaction. Licenses grant perpetual usage rights, and ownership stays with the rights holder. For specific license pricing on a dataset, contact the vendor.
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Vendor refund policy
Refunds are available within 30 days of purchase for unused portions of the contract. To request a refund, contact the Sphere support team at contact@getsphere.xyz . Refund requests are reviewed on a case-by-case basis and processed within 30 business days of approval.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Sphere provides support to help customers with platform onboarding, configuration, troubleshooting, and general inquiries. For assistance with any aspect of the Sphere platform, please contact the Sphere support team directly at contact@getsphere.xyz . Support coverage includes help with data onboarding, access control configuration, compliance workflow setup, licensing management, and usage analytics. The team can also assist with AWS integration questions and troubleshooting connectivity issues.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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