Inferable

Build reliable AI agents and durable workflows with code, structured outputs, and human-in-the-loop automation.

Website

https://www.inferable.ai/

Category

AI Agent Builders

Pricing

Free Plan & Usage-Based Paid Plans

Overview

Inferable is a developer-focused platform for building reliable AI agents and LLM-powered workflows. Rather than treating an AI agent as a standalone chatbot, Inferable provides infrastructure for combining agents with deterministic application logic, tools, APIs, and long-running workflows.

The platform uses a Workflow as Code approach, allowing developers to define workflows in their existing codebase while Inferable manages orchestration, state, execution, and recovery. Workflows can run in the developer’s own infrastructure, including environments behind private networks and firewalls.

Inferable also supports structured LLM outputs, autonomous agents, human approval steps, workflow versioning, caching, observability, and failure recovery. This makes it particularly suited to production applications where AI reasoning needs to operate alongside predictable business logic.

Tool Information

Key Features

Durable AI Workflows

Inferable allows developers to create long-running workflows that combine conventional application code with LLM-powered reasoning.

Capabilities/Benefits

• Define workflows directly in code
• Maintain workflow state automatically
• Pause and resume workflows
• Recover from interruptions
• Run multi-step processes
• Support long-running AI tasks
• Version workflows for safer deployments

AI Agents

Inferable provides agents that can reason through goals and use registered tools to complete tasks.

Capabilities/Benefits

• Build autonomous AI agents
• Give agents access to application tools
• Define agent instructions
• Return structured results
• Combine agents with deterministic workflows
• Support iterative tool usage

Structured Outputs

Inferable can request structured information from LLMs and validate the resulting output against a defined schema.

Capabilities/Benefits

• Define structured schemas
• Automatically parse LLM responses
• Validate generated data
• Retry failed structured outputs
• Work with typed application data
• Reduce unpredictable text-based responses

Human-in-the-Loop

Workflows can pause when human intervention or approval is required and resume after the decision is made.

Capabilities/Benefits

• Request human approvals
• Preserve workflow context while paused
• Send approval requests through supported channels
• Resume workflows after intervention
• Build safer automation for sensitive actions

Workflow Versioning

Inferable supports versioned workflows so developers can update application logic without disrupting workflows that are already running.

Capabilities/Benefits

• Create new workflow versions
• Maintain version affinity for active executions
• Roll out changes gradually
• Preserve compatibility with existing executions
• Reduce deployment risks

Distributed Execution

Inferable separates orchestration from application execution.

Capabilities/Benefits

• Run workflow code in your own environment
• Keep execution behind private networks
• Separate control-plane and compute responsibilities
• Support distributed applications
• Reduce dependence on a single runtime process

Observability

Inferable provides visibility into workflow execution and agent activity.

Capabilities/Benefits

• Inspect workflow execution timelines
• Monitor workflow state
• Debug AI-powered processes
• Track execution activity
• Connect with external observability systems

Caching and Memoization

The platform can cache results from expensive or repeatable operations.

Capabilities/Benefits

• Reduce redundant operations
• Cache expensive results
• Improve workflow efficiency
• Reduce unnecessary model or external-service calls

Use Cases

Customer Service Automation

Build workflows that classify customer requests, retrieve customer information, determine the appropriate action, and execute business processes.

AI-Powered Data Extraction

Use structured outputs to extract consistent information from websites, documents, and other unstructured sources.

Business Process Automation

Combine AI reasoning with deterministic application logic to automate complex operational workflows.

Human Approval Workflows

Create AI processes that pause before sensitive actions and request approval from a human operator.

AI Research Agents

Build agents that can use tools to gather information, follow links, process results, and return structured findings.

Document Processing

Use LLM-powered workflows to classify, extract, transform, and validate information from documents.

Enterprise AI Automation

Deploy AI workflows within private infrastructure while maintaining centralized orchestration and monitoring.

Multi-Step AI Applications

Combine multiple agents and programmatic functions into reliable, versioned workflows.

How Inferable Works

Inferable separates AI orchestration from the code that performs application-specific work. Developers define workflows and tools in their own codebase, register them with Inferable, and then trigger executions through the API or application.

Typical Workflow

1. Define the Workflow — Create a workflow using the Inferable SDK.
2. Define Inputs — Specify the input schema for the workflow.
3. Register Tools — Provide functions that agents can use to interact with your application.
4. Add AI Reasoning — Use agents or structured LLM calls where reasoning is required.
5. Add Deterministic Logic — Use normal application code for steps that require predictable behavior.
6. Add Human Approval — Pause execution when human intervention is necessary.
7. Deploy — Run the workflow in your own infrastructure.
8. Trigger Execution — Start workflows through the API or application.
9. Monitor — Inspect workflow execution and results through Inferable’s control plane.

Integrations

Supported Developer Workflows

Inferable is designed primarily around developer-defined integrations rather than a traditional catalog of no-code app connectors.

• REST APIs
• Custom application functions
• External databases
• Internal business systems
• Web services
• Slack
• Email
• Custom tools
• LLM providers through BYO model support

Developer SDKs

Inferable currently provides SDK support for:

• TypeScript / Node.js
• Go
• .NET — experimental

Advantages

• Designed specifically for production AI workflows
• Combines autonomous agents with deterministic code
• Durable workflow execution
• Built-in workflow state management
• Human-in-the-loop support
• Structured output validation
• Automatic retries for failed structured outputs
• Workflow versioning
• Supports execution in your own infrastructure
• Open-source platform
• Bring-your-own-model approach
• Useful for long-running AI processes
• Developer-focused APIs and SDKs
• Supports self-hosting

Limitations

• Inferable is primarily designed for developers rather than non-technical users.
• Building workflows requires programming knowledge.
• The platform is more infrastructure-oriented than visual no-code AI agent builders.
• Developers need to configure and maintain their own application-side tools and integrations.
• Advanced use cases may require familiarity with distributed systems and workflow orchestration.
• Usage beyond the included limits is billed based on workflow executions.

Pricing

Free Plan

$0/month

The Free tier includes:

• 2 registered workflows
• 1,000 workflow executions
• Bring-your-own models
• Maximum concurrency of 2

Pay-as-You-Go

$10/month

Includes:

• 20 registered workflows
• 5,000 workflow executions
• Additional executions at $1 per 1,000
• Bring-your-own models
• Maximum concurrency of 10
• Higher rate limits
• Priority email support

Enterprise Plan

Custom pricing

Enterprise features include:

• Custom deployments on AWS, GCP, or Azure
• Bring-your-own models
• Full data isolation
• Dedicated Slack support
• Custom SLAs
• Enterprise infrastructure and security requirements

Inferable’s pricing is based primarily on workflow usage rather than charging separately for individual AI agents.

Visit the official website for the latest pricing information.

Company Information

Frequently Asked Questions

What is Inferable?

Inferable is a developer platform for building reliable AI agents and LLM-powered workflows. It combines AI reasoning with durable workflow orchestration, structured outputs, tools, and human approvals.

Is Inferable an AI agent builder?

Yes. Inferable provides an agent runtime that allows developers to create agents capable of reasoning toward predefined goals and using registered tools. It is primarily a code-first rather than no-code agent builder.

What programming languages does Inferable support?

Inferable provides SDKs for TypeScript/Node.js and Go, with .NET support available experimentally.

Can Inferable workflows run in my own infrastructure?

Yes. Inferable is designed so workflow execution can run in your own environment, including infrastructure behind firewalls or private networks.

Does Inferable support human approval?

Yes. Workflows can pause for human approval or intervention while preserving their state and context, then continue after the required action is completed.

Does Inferable support structured outputs?

Yes. Developers can define schemas for LLM responses, with Inferable handling parsing, validation, and retries when the generated result does not conform to the expected structure.

Is Inferable open source?

Yes. Inferable provides an open-source platform and supports self-hosting for organizations that want greater control over their data and infrastructure.