Inferable is an open-source platform designed for building reliable AI workflows, emphasizing human-in-the-loop integration and robust version control. It allows developers to create durable AI workflows that can pause for human input and resume seamlessly.
Key Features:
- Workflow Versioning: Evolve workflows over time with backward compatibility, ensuring uninterrupted executions during updates.
- Human-in-the-Loop: Incorporate human input into AI workflows for enhanced reliability and decision-making.
- Production-Ready LLM Primitives: Provides pre-built components for common LLM tasks, streamlining development.
- Managed State: Handles workflow state management, eliminating the need for manual database provisioning.
- Observability: Offers end-to-end observability through a developer console and integration with existing monitoring tools.
- On-Premise Execution: Workflows run on your infrastructure, ensuring data privacy and control.
- Open Source: Full transparency and control over the codebase.
- Self-Hostable: Deploy Inferable on your infrastructure for complete data and compute control.
Use Cases:
- Building AI agents that require human validation or intervention.
- Creating complex workflows that integrate with existing APIs and databases.
- Developing applications that need durable, versioned AI processes.
