Inferable helps you build reliable, distributed AI agents that work directly with your existing codebase and internal tools. Get conversational AI assistance for your operations without exposing internal APIs or compromising security. We help you convert your existing functions to tools for an AI agent, wherever those functions are hosted. The platform supports multi-step reasoning and action-taking capabilities, enabling the creation of complex workflows. Overall, it aims to simplify the process of developing and managing AI-driven solutions for businesses.
Overview of Inferable
Features:
Distributed Orchestration for Tools: At the core of Inferable is a distributed message queue with at-least-once delivery guarantees. It reliably connects your distributed tools and agents.
Durable Workflows as Code: Compose agent actions and your deterministic code to create complex workflows with the Durable execution engine.
Re-use your codebase: Decorate your existing functions and APIs. No new frameworks to learn.
Language Support: Inferable has first class support for Node.js, Golang, and C#, with more on the way.
On-premise Execution: Your functions run on your own infrastructure, LLMs can't do anything your functions don't allow. Since the SDK long-polls for instructions, no need to allow any incoming connections or provision load balancers.
Observability: Get end-to-end observability into your AI workflows and function calls. No configuration required.
Composable Agents: Enforce structured outputs, and compose, pipe, and chain agents using language primitives.
Managed Agent Runtime: Inferable comes with a built-in ReAct agent that can be used to solve complex problems by reasoning step-by-step, and calling your functions to solve sub-problems.
Use cases:
Extending Existing Services: Add AI capabilities to existing services without major refactoring, maintaining your existing codebase and infrastructure.
Highly-Regulated Industries: Ideal for organizations with strict security requirements, as all compute runs in your infrastructure, ensuring data privacy and compliance.
Complex Multi-Step Workflows: Perfect for scenarios requiring orchestrated sequences of operations, context-aware decision making, and structured workflows with approval steps.
Enterprise Integration Projects: Suitable for enterprise environments needing on-premise execution, integration with existing authentication systems, and extensive observability and auditability.
Data Management: Simplify data operations across your organization without building custom internal tools, enabling quick data inspection, local development testing, and system behavior verification
