Cradl AI

Cradl AI is a document automation tool that automates internal document workflows so people can spend more time on high-priority work. The company's AI technology can pull data out of unstructured documents, a process that's more easily integrated with no-code tools.

Among Cradl AI's features are:

• Automated data extraction: Pull information out of complex documents in seconds.
• Trainable AI models: Train models to pull the data you need out of documents with as few as five examples.
• Human-in-the-loop: Review and correct AI predictions to ensure data quality.
• Multi-tool integration: Connect to popular automation tools with native connectors and APIs.
• Multi-language support: Supports Latin-based characters and digits for extraction.
• Line item extraction: Pull tabular data like invoice lines out of documents.
• Automatic retraining: Continuously improve model accuracy with end-user feedback.
• Multi-user: Get business users up and running quickly with minimal training.

Cradl AI is geared for companies that want to automate tasks like extracting data from invoices, receipts and bills of lading. It comes with a large template library to get you started with common document types, so you can start seeing the benefits of automation quickly.

Cradl AI's pricing is simple:

• Free Tier: $0/month, up to 100 pages/month, and up to 2 users.
• Team Plan: $350/month, up to 1000 pages/month, and up to 3 users.
• Enterprise Plan: Custom pricing for customers that require advanced customization, governance and support.

Cradl AI is designed with security and compliance in mind. It's hosted on AWS, and it uses encryption, access controls and lifecycle management to protect customer data. That means it's a good fit for companies with strict security requirements, like government agencies and financial services firms. Customers have full control over their data and can delete documents at any time.

Cradl AI is geared for teams that want to automate document workflows. It's got an easy-to-use interface, supports multiple integrations and continually improves data quality with model retraining.

Published on June 14, 2024