Intelligent Document Processing for Health / Bio

IDP uses techniques like optical character recognition (OCR), deep learning, and semantic reasoning to automatically extract and analyze your document data.

While legacy automation software just mimics clicks and keystrokes, IDP understands context. It knows that “7.2” in a pH field isn’t the same as “7.2” in a dosage field, and it can still interpret information even when it’s unstructured.

This is what enables IDP platforms like DocKnow to automate even the most complex, sensitive, or dynamic workflows.

Structured data refers to information organized in a consistent, predefined format, like a spreadsheet, making it straightforward to extract and process. Unstructured data, like an email exchange, lacks a fixed format.

Many document types actually fall into a subset of unstructured data called semi-structured data. These documents might be formally structured, like a test order form, but also include handwritten physician notes in the margins or conditional free-form text fields.

One of DocKnow’s benefits is that it can handle unstructured data too, not just the clean, structured data that’s easy to process and show off in demos.

Most IDP platforms are designed for general business use. DocKnow is built specifically for addressing the document and data challenges that affect healthcare and life sciences.

DocKnow was developed in collaboration with lab managers, retail pharmacists, and healthcare administrators to address their actual needs, like data reconciliation and integrations with ICD and CPT taxonomies.

If your team is manually entering data, you’re paying for work that automation can eliminate. IDP replaces thousands of hours of repetitive effort, reduces costly errors, and turns slow, manual workflows into scalable operations.

DocKnow achieves its high accuracy by combining OCR with AI analysis, custom business rules, and human oversight. If data is mismatched or confidence is low, the system presents human reviewers with simple, visual indicators that make correcting potential errors quick and easy.

Even without human intervention, DocKnow’s AI can interpret handwriting with over 95% accuracy by considering field context, layout position, and related data.

Onymos software is built using our award-winning No-Data Architecture. We don’t access, capture, or store customer data. Instead, all data remains securely within the customer’s own environment, whether that’s on-prem or the cloud.

Additionally, Onymos is certified SOC 2 and HIPAA compliant.

Most platforms and services capture and store their customers’ data. It’s lucrative (for the vendors). But it’s risky (for the customers). In healthcare, over 55% of data breaches happen through third-party vendors.

That’s why we do things differently. Using No-Data Architecture means fewer points of failure, less data exposure overall, and simpler compliance for you.

And in a post-AI world, where data is more valuable than ever, this isn’t just a technical choice. It’s a strategic one.

By default, DocKnow’s UI is completely customizable. Your team deploys the UI where you want it and has direct access to the actual CSS and HTML. Additionally, customers can license DocKnow’s functional source code.

DocKnow pricing is tailored to your processing volume, workflow complexity, and deployment requirements. We work with your team to understand your needs and develop a pricing structure that accounts for both the software and the infrastructure costs associated with running DocKnow in your environment.

As your document volumes grow, we can also structure pricing to make scaling more economical.

You don’t.

DocKnow is the most modular, adaptable intelligent document processing platform available. Choose and purchase only the features your organization needs.