Blog | super.AI

Learn how modern Intelligent Document Processing (IDP) and Unstructured Data Processing (UDP) solutions can accelerate digitization and unlock the ability to process any unstructured data at scale.

Discover key differences between the super.AI Invoice Parser and the MS Azure Form Recognizer invoice model.

Global finance runs on data. Discover how your organization can get ahead by processing more of it. Unlock unstructured finance documents at scale with super.AI.

As the global economy slows down, companies are turning to intelligent automation to cut costs and improve efficiency.

Most IDP vendors offer closed point solutions that struggle with Unstructured Data Processing (UDP). To avoid pitfalls, enterprises should ask IDP vendors these four questions.

Learn what the super.AI Data Processing Crowd is, how it works, and how it can transform the way your business automates data processing at scale.

Learn how Super.AI moves document processing forward with invoice processing automation rates of 95% or higher.

Manual and semi-automated redaction is unreliable at scale. Learn why Document.Redact, an AI-automated redaction solution from Super.AI, outperforms Adobe Acrobat—a legacy tool that is the digital equivalent of manual redaction.

First-generation IDP products are falling short, with enterprises struggle to automate invoice processing beyond 50-60%. Both IDP and UDP are seeing expanded adoption and use cases.

In this article, we explain how advances in artificial intelligence make it possible to automate processing of any medical claims document at scale, improving accuracy, speed and cost efficiency.