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IDP for healthcare
& life sciences.

Onymos DocKnow is an intelligent document processing platform built for the complexity, and sensitivity, of healthcare and life sciences. It goes beyond extraction to ensure the data your team needs is accurate, complete, and usable at scale.

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HIPAA Compliant

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SOC 2 Type II

IDP for healthcare & life sciences.

Onymos DocKnow is an intelligent document processing platform built for the complexity, and sensitivity, of healthcare and life sciences. It goes beyond extraction to ensure the data your team needs is accurate, complete, and usable at scale.

Checkmark icon

HIPAA Compliant

Checkmark icon

SOC 2 Type II

60%

less rework for ops teams

84%

reduction in intake errors

99.7%

data validation accuracy

60%

less rework for ops teams

84%

reduction in intake errors

99.7%

data validation accuracy

The Problem

Unstructured data is ~80% of all healthcare data.

Despite making up the majority of healthcare data, most organizations don’t take advantage of it. Only about one in five uses it systematically, and they’re 24% more likely to outperform their operational goals.

The Problem

Unstructured data is ~80% of all healthcare data.

Despite making up the majority of healthcare data, most organizations don’t take advantage of it. Only about one in five uses it systematically, and they’re 24% more likely to outperform their operational goals.

Use intelligent document processing to hyperautomate your workflows at scale.

Build your intelligent intake layer.

Ingest complex documents from any source.

Directly upload TRFs, medical records, and other documents, or integrate with your entire ecosystem to power a custom data capture pipeline.

And because DocKnow is deployed inside your infrastructure, you’re always in control.

Integrations with DocKnow.

Ingest complex documents from any source.

Directly upload TRFs, medical records, and other documents, or integrate with your entire ecosystem to power a custom data capture pipeline.

And because DocKnow is deployed inside your infrastructure, you’re always in control.

Extract structured and unstructured data

Go beyond simple OCR.

DocKnow understands context, relationships, and the specialized terminology your team uses. It can identify and flag conflicting information automatically and even perform eligibility checks to confirm coverage instantly.

DocKnow finding mismatched data.

Extract structured and unstructured data

Go beyond simple OCR.

DocKnow understands context, relationships, and the specialized terminology your team uses. It can identify and flag conflicting information automatically and even perform eligibility checks to confirm coverage instantly.

Govern and track every action, end-to-end.

Configure custom business rules to control how data is formatted, validated, and accessed.

Then generate granular summaries and immutable changelogs to stay audit ready and in compliance.

DocKnow audit trail.

Govern and track every action, end-to-end.

Configure custom business rules to control how data is formatted, validated, and accessed.

Then generate granular summaries and immutable changelogs to stay audit ready and in compliance.

Drive better, smarter decision-making.

Use DocKnow’s AI, Nucleus, to go even deeper into your data.

Surface clinical insights, create complex reports, or turn your lab’s SOPs into real-time, source-linked guidance for your ops teams.

DocKnow AI analysis.

Drive better, smarter decision-making.

Use DocKnow’s AI, Nucleus, to go even deeper into your data.

Surface clinical insights, create complex reports, or turn your lab’s SOPs into real-time, source-linked guidance for your ops teams.

Guardant logo

Customer Story:

Hyperscaling laboratory intake

Guardant Health is in growth mode. As more oncologists and health systems adopt its next-gen blood tests, the volume of incoming documentation has skyrocketed. Manual processes couldn’t keep up.

That’s why Guardant partnered with Onymos to transform intake with DocKnow. Today, incoming documentation is automatically captured, verified, and routed downstream. The result is more accurate data and an intake process that can keep pace with Guardant’s growth.

Get answers to some of the DocKnow/IDP questions we’re asked the most.

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 the 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 is typically priced based on usage (e.g., the number of API calls or number of forms processed) and the features you want to include.

You don’t.

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

Get answers to some of the DocKnow/IDP questions we’re asked the most.

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 the 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 is typically priced based on usage (e.g., the number of API calls or number of forms processed) and the features you want to include.

You don’t.

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

Certified SOC 2 and HIPAA compliant.

Guardant Health, Personalis, Vanta Diagnostics and more all trust Onymos to help them automate their high-volume, high-complexity document workflows.

“From a security perspective, there was really no concern because there is no data leaving the customer’s boundary,” says Prabhakar Ramakrishnan, CloudWave President, whose company leverages Onymos DocKnow in their document digitization application for the federal government.

SOC 2 badge
HIPAA

Certified SOC 2 and HIPAA compliant.

Guardant Health, Personalis, Vanta Diagnostics and more all trust Onymos to help them automate their high-volume, high-complexity document workflows.

“From a security perspective, there was really no concern because there is no data leaving the customer’s boundary,” says Prabhakar Ramakrishnan, CloudWave President, whose company leverages Onymos DocKnow in their document digitization application for the federal government.

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HIPAA
KM logo

100 Companies That Matter in Knowledge Management 2026

“Companies on this list are wonderful examples of how their products expand the power of KM in changing knowledge environments. They stand out in the KM field, and we applaud their accomplishments.”

KMWorld 100

KM logo

100 Companies That Matter in Knowledge Management 2026

“Companies on this list are wonderful examples of how their products expand the power of KM in changing knowledge environments. They stand out in the KM field, and we applaud their accomplishments.”

Capture clean, validated data from every document. Eliminate manual data entry errors. Keep your org fast, accurate, and audit-ready.

Schedule your demo. →

Capture clean, validated data from every document. Eliminate manual data entry errors. Keep your org fast, accurate, and audit-ready.

Schedule your demo. →

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