Inferable

What is Inferable?

Inferable is an open-source platform designed to simplify the creation of production-ready AI agents that integrate seamlessly with existing codebases, APIs, and data systems. It offers a managed control plane for orchestrating and monitoring LLM-powered workflows that run securely on your own infrastructure without exposing inbound ports. With support for multiple programming languages including Node.js, Go, and .NET, Inferable enables developers to build complex, durable, and versioned AI workflows featuring human-in-the-loop approvals, structured output validation, and fault tolerance. Its architecture emphasizes data privacy, compliance, and observability, making it ideal for enterprise and regulated environments.

Key Features

• On-Premise Workflow Execution

  Runs workflows entirely within your infrastructure behind firewalls with outbound-only connections, ensuring data privacy and security without opening inbound ports.

• Versioned Durable Workflows

  Supports multiple versions of workflows with backward compatibility, allowing seamless updates and gradual rollouts without disrupting ongoing executions.

• Human-in-the-Loop Integration

  Enables human approval and intervention workflows with full context preservation to incorporate manual decision points in automated processes.

• Distributed Function Orchestration

  Manages complex multi-step workflows with automatic retries, caching, and fault tolerance across distributed environments.

• Multi-Language SDK Support

  Provides developer-friendly SDKs for Node.js, Go, and .NET, facilitating easy integration with existing applications and systems.

• Comprehensive Observability

  Includes a developer console and supports integration with external observability tools for real-time monitoring, debugging, and audit trails.

Use Cases

• Enterprise AI Automation : Automate complex business workflows securely within enterprise environments, maintaining compliance and data sovereignty.
• Secure Data Processing : Build AI agents that process sensitive data on-premise with zero-retention policies and encrypted handling.
• Conversational AI Agents : Create conversational agents that interact with internal systems, APIs, and databases via chat platforms or APIs.
• Regulated Industry Applications : Deploy AI solutions in industries with strict regulatory requirements, ensuring auditability and security.
• Complex Workflow Orchestration : Design and manage multi-step, versioned workflows with human approvals and automated retries.
• Backend Service Automation : Integrate AI-powered automation into backend services to improve operational efficiency and decision-making.

FAQs