The Advantage of Sandboxed
Management Consol
Setup, user management, data and model management, cost control.
Orchestrate your data management and AI workflows from one place for both data supply and consumption, and be assured of data sovereignty, compliance and cost control.
Data Connector-as-a-Service
Pre-configured with sovereign policies and compliance, data connectors also create interoperability, access control, provenance and transaction management.
The power of our data connectors provides for standardized policy attribution that drives the contractual agreement.
AI Runtime Environment
Secure, scalable, and customizable environments for running AI-generated code or custom scripts. Securely execute AI-generated code, run custom scripts, or interact with AI agents directly. Pre-configured sandbox templates tailored to your needs, such as specific libraries, frameworks, or runtime environments.
Cost Control Panel
Rapidly setup data spaces and AI runtime instances based on budget allocation companywide, by department or by user.
Set cost limits for compute, storage, transfer and third-party license fees for data and models. Set notifications based on usage so that you are in total control of your team's or organization's AI related costs.
Built on AWS
Provision Sandboxed to run within your existing AWS account. Simply use an existing S3 instance or spin up a new Kubernetes container in S3, access Sandboxed in the AWS Marketplace and you are underway, all within your existing AWS security posture.
Federated Data
Because Sandboxed runs in the cloud and on-premise, data is stored within its existing data store.
Data connectors provide the authentication, identity and approval protocols for users to access the data, creating a truly decentralized and federated data ecosystem.
