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Overview

We understand that enterprise customers pursuing AI adoption have three key requirements:

1. Data localization
2. Compute localization
3. Reduced network surface area for ingress (private networking)

Inferable is designed to meet all these requirements.

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On-Premise Tool Execution and Data Localization

Inferable offers robust on-premise functions execution, giving you full control over your compute and data:

• Local Runtime Environment: Inferable SDK sets up a dedicated runtime environment within your own infrastructure.
• Workflow Execution: All function calls are executed entirely within your local environment.
• Secret Management: Sensitive information like API keys and passwords remain within your infrastructure.

This approach addresses concerns about data sovereignty and compliance with regional data protection regulations.

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Private Networking

Inferable’s architecture allows your functions to run on private networks without requiring any incoming connections:

• Outbound Connections Only: The Inferable SDK initiates all connections from within your infrastructure to the Inferable control plane.
• Long-Polling Mechanism: Your services periodically check for new tasks, eliminating the need for open inbound ports.

Benefits include:

• Reduced attack surface
• Mitigation of Man-in-the-Middle (MITM) attacks
• Simplified firewall rules
• Ability to deploy in private subnets

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Self-hosting and Bring Your Own Model (BYOM)

Inferable is designed to be self-hosted and BYOM. For complete control over your data and compute, you can self-host the Inferable Control Plane on your own infrastructure. Enterprise customers receive guaranteed SLAs on support for on-premise deployments.

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SOC2 Certification

We are currently undergoing SOC2 Type I and Type II certification processes.