Inferable

What is Inferable?

Inferable is an open-source platform for building reliable AI workflows with human-in-the-loop capabilities. it allows developers to create versioned, durable workflows that can pause for human input and resume seamlessly, while integrating with existing APIs and databases.

Top Features:

• Workflow Versioning: create multiple compatible versions of workflows that maintain version affinity during execution.
• Human-in-the-loop: build workflows that can pause for minutes or days waiting for human input before continuing.
• Structured Outputs: process data with schema validation to ensure consistent and reliable AI responses.
• Managed State: handle all workflow state without needing to provision or manage additional databases.

Use Cases:

• Customer Data Processing: analyze customer information with versioned workflows that improve over time.
• Risk Assessment: build multi-stage analysis pipelines with human review for high-risk cases.
• Content Moderation: process content automatically but escalate edge cases for human review when needed.
• Document Processing: extract structured information from documents with human verification steps.

Who Can Use Inferable?

• AI Engineers: developers building production-ready AI applications that require reliability and human oversight.
• Tech Teams: groups looking to implement AI workflows with proper versioning and monitoring.
• Startups and Scale-ups: companies needing to quickly implement reliable AI features without extensive infrastructure.

Pricing

Inferable is completely free to use. There are no paid plans or subscriptions required to access its core features.

Pros and Cons

Pros:

• Self-hostable: deploy on your own infrastructure for complete control over data and compute.
• No Inbound Connections: maintains security with outbound-only connections, keeping internal services protected.
• Familiar Programming Model: works with existing programming primitives rather than forcing a new framework.
• Open Source: provides full transparency and control over the codebase for customization.

Cons:

• Learning Curve: might require time to understand the workflow implementation patterns.
• Setup Complexity: self-hosting requires infrastructure knowledge and management.
• Technical Focus: designed for developers rather than no-code users.

FAQs:

1) How does Inferable handle workflow versioning?

Inferable maintains version affinity, ensuring running workflows complete on their original version even when updated versions are deployed.

2) Can Inferable run on my own infrastructure?

Yes, Inferable is fully self-hostable and can run on your own infrastructure without sending data to external services.

3) How does Inferable integrate with existing systems?

It works with your existing APIs and databases using standard programming primitives without requiring framework changes.

4) Is technical support available for implementation?

Yes, you can book calls directly with founders who have experience running thousands of workflows in production environments.

5) What observability features does Inferable provide?

Inferable includes a developer console for monitoring workflows and supports integration with existing observability stacks.