cradl-ai

cradl-ai

Cradl AI is an AI-first platform that builds and runs AI agents to extract, validate, and deliver structured data from documents at scale, with built-in guardrails, human-in-the-loop review, and native integrations into automation platforms.

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Freemium API Enterprise 75/100
#560 in AI Agents (560 tools)
Added 1 year ago
Data reviewed Jul 15, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Start for free (no detailed pricing tiers listed on the page)

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cradl-ai

Cradl AI is an AI platform purpose-built to automate document data-extraction workflows and deliver structured data into automated pipelines. The product focuses on production-grade automation by combining AI parsing with validation logic, confidence scoring, anti-hallucination checks, and a human-in-the-loop review interface so uncertain or exceptional results can be verified before reaching downstream systems. Cradl AI targets automation and citizen-developer teams using tools like Zapier, n8n, and Microsoft Power Automate, and offers enterprise features such as GDPR compliance, role-based access control, full traceability, and dedicated enterprise support.

Cradl AI automates document parsing using AI, offering no-code solutions and integrations.

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Key Features

AI agents for document processing

Deploy AI agents that extract structured data from documents at scale, designed to run inside automated pipelines.

Agent builder

Low-code builder to create document-processing agents quickly so you can 'launch your first AI agent in minutes.'

Human-in-the-loop review UI

Dedicated review interface to route exceptions and uncertain predictions for fast human verification before data is exported.

Validation & guardrails

Built-in validation logic, confidence thresholds, and anti-hallucination measures to catch and prevent bad outputs from becoming bad data.

Confidence scores

Each prediction is assigned a confidence score (0–100) so automation developers can define thresholds that trigger human review.

Self-learning feedback loop

Corrections and human feedback are fed back into the system to improve accuracy over time.

Monitoring and insights

Real-time tracking of performance, accuracy, exceptions, and processing volumes for operational visibility.

Export to automation tools

Deliver clean, structured JSON data to automation platforms and tools.

Enterprise security and governance

GDPR and information-security alignment, role-based access control, full traceability of extractions and review actions, and enterprise support options.

Pricing

Free Tier Available

Start for free

Free / Trial

Start for free (no detailed pricing tiers listed on the page)
  • Access to agent builder and basic integrations (exact limits not specified on page)

Use Cases

Invoice and receipt processing

Automatically extract line items, totals, dates, and vendor data from invoices and receipts and feed structured output into accounting workflows.

Contracts and forms

Parse contract metadata, clauses, and form fields, validate key values, and route uncertain fields to reviewers.

Reports, statements and archival

Extract structured data from reports and statements for analytics, archiving, and downstream automation.

Handwritten and scanned documents

Handle scanned PDFs and documents with handwriting or tables, combining OCR with AI parsing and validation.

Automation pipeline integration

Embed document extraction agents into Zapier, n8n, Power Automate and other automation flows to eliminate manual data entry.

Integrations

Zapier

Deploy Cradl AI agents into Zapier workflows to move extracted data into apps and automations.

n8n

Native integration with n8n to embed document extraction into low-code automation pipelines.

Microsoft Power Automate

Connect agents to Power Automate for enterprise automation workflows.

Make (Integromat)

Ready-made integration to route extracted data through Make scenarios.

Webhook

Generic webhook output to send JSON data to custom endpoints and systems.

Gmail / Excel

Examples of connectors mentioned for common input/output workflows (email and spreadsheets).

Benefits

Reliable, production-grade document automation that reduces manual processing and improves data quality
Faster time-to-production — launch agents in minutes and move from prototype to automated workflows quickly
Built-in guardrails, confidence scoring and human review reduce risk of incorrect outputs entering downstream systems
Seamless integration with common automation platforms (Zapier, n8n, Power Automate) and webhook-based workflows
Enterprise-grade security, traceability, and support for compliance requirements

Limitations

No verified limitations are available.

Frequently Asked Questions

What is Cradl AI?
Cradl AI is an AI platform for automating document data extraction workflows. It enables users of tools like n8n, Zapier, and Microsoft Power Automate to extract structured data from documents and integrate it directly into automated workflows.
Who is Cradl AI for?
Cradl AI is built for citizen developers in automation teams who use platforms like n8n, Zapier, and Microsoft Power Automate to automate document-heavy processes. It’s especially relevant for those moving from manual workflows or AI prototypes to production-ready automation that can handle edge cases reliably.
How is Cradl AI different from other AI tools, like ChatGPT?
Cradl AI is purpose-built for document workflows in automation platforms. Unlike general AI tools like ChatGPT, it’s designed to run reliably inside automated pipelines—without constant prompt tuning. It learns from corrections, flags uncertain predictions, and ensures outputs are structured and usable in downstream systems.
How is Cradl AI different from traditional OCR tools?
Traditional OCR tools only convert images into text. Cradl AI is designed for automation workflows—it combines AI-powered parsing, validation rules, and a built-in human-in-the-loop step to handle edge cases, enabling reliable, production-ready automation beyond raw text extraction.
How does Cradl AI mitigate the risk of incorrect AI responses?
Cradl AI assigns a confidence score (0–100) to each prediction, allowing automation developers to define thresholds for when human review is required. Low-confidence results are automatically routed to a human-in-the-loop step, and corrections are fed back into the system to continuously improve performance.
How does Cradl AI manage my data?
Cradl AI gives you full control over your data, with configurable retention and API-based access and deletion. The page states your data is never used to train shared models or exposed to other users.
Do I need to know how to code to use Cradl AI?
No. Cradl AI is designed for low-code automation developers. You can use it without coding, but it’s also API-first—making it easy to integrate into more advanced workflows.
What types of documents can Cradl AI process?
Cradl AI supports PDFs (digital and scanned), invoices and receipts, contracts and forms, reports and statements, images containing text, documents with tables and line items, and handwritten and scanned documents.

Getting Started

  1. 1 Step 1: Start for free or book a demo via the Cradl AI website.
  2. 2 Step 2: Use the agent builder to create an AI agent for your document type and define validation rules and confidence thresholds.
  3. 3 Step 3: Connect the agent to your automation tools (Zapier, n8n, Power Automate, webhooks) and configure human-in-the-loop review and export to JSON.

Support

Contact

Use the 'Contact us' link on the site to reach sales or support.

Demo

Book a demo via the 'Book a demo' button to see the product in action.

Enterprise support

White-glove onboarding and a dedicated account team with guaranteed response times for enterprise customers.

API

Available: Yes

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