Changelog

Today we're announcing second opinion validation: a new way to cross-check AI predictions before they move downstream.

In high-volume document workflows, there is always a trade-off between automation and accuracy. Manually validating every prediction improves confidence, but it slows everything down. Fully automated processing is faster, but only works if you can trust the data.

Second opinion validation adds an extra layer of certainty. By comparing predictions against a second model, Cradl AI can flag the cases that need review and let confident predictions pass through automatically.

That means less manual validation, without compromising on data quality.

We’ve significantly improved performance when reviewing documents with many lines or large tables.

Review now feels faster and smoother, especially for high-volume documents like invoices, order forms, price lists, statements, and other table-heavy files. You should notice quicker loading, more responsive navigation, and less friction when working through complex documents.

This makes it easier to validate detailed documents without slowing down your review workflow.

This month we are shipping a native Cradl AI node for n8n.

Setting up production-grade document extraction in n8n used to mean building and maintaining a lot of custom logic, API calls, validation, error handling, retry mechanisms, and more. Not anymore.

The new Cradl AI node brings the full power of the Cradl AI platform into your n8n workflows. Drop it in, connect your account, and you get accurate data extraction out of the box, along with everything that makes it production-ready: human-in-the-loop review for edge cases, model training to improve accuracy over time, and built-in validation to catch errors before they reach your systems.

The result is a document extraction pipeline that gets smarter the more you use it.

This month's update focuses on reliability, ensuring your document workflows keep running smoothly, even when the unexpected happens.

LLMs are in high demand, and latency or availability issues are a reality. To keep your agents running without interruption, we have introduced automatic fallback support for LLM models. If your primary model encounters an issue, Cradl AI will now seamlessly retry and, where needed, route to a fallback model, all without any manual intervention.

This update introduces a new state-of-the-art model and a suite of validation tools designed to make your document workflows more accurate and automated than ever before.

Data consistency is critical for downstream automation. Our new Match and Map validator allows you to ensure extracted values align with your existing data and automatically map them to the correct format for your ERP, CRM, or database.

Alongside these features, we implemented stability improvements and addressed minor bugs to ensure a smoother, faster experience across the Cradl AI dashboard.

• Financial and tax validators: IBAN, BIC/SWIFT, VAT ID, and Tax ID.
• Identity and contact validators: Passport Number, Phone Number, and Email.
• Logistics and web validators: Freight Container ID, License Plate, and URL.