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Eliminate 5-10% of preventable denials

The Front End of Clinical Lab Billing.

Billing starts at intake. DocKnow is an intelligent intake platform that validates the patient, payer, and order data that decides whether a claim gets paid (before the claim is even created).

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HIPAA Compliant

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SOC 2 Type II

Eliminate 5-10% of preventable denials

The Front End of Clinical Lab Billing.

Billing starts at intake. DocKnow is an intelligent intake platform that validates the patient, payer, and order data that decides whether a claim gets paid (before the claim is even created).

Shield checkmark icon

HIPAA Compliant

Shield checkmark icon

SOC 2 Type II

32.9%

molecular denial rate

87.7%

Medicare denials tied to documentation

5–10%

preventable denials eliminated with DocKnow

32.9%

molecular denial rate

87.7%

Medicare denials tied to documentation

5-10%

preventable denials eliminated with DocKnow

Built for LabOps

Stop billing errors before they start.

DocKnow is the missing piece in your billing performance stack. It goes beyond automating data entry by checking eligibility, identifying COB issues, and reconciling conflicting data before it reaches your billing team.

Built for LabOps

Stop billing errors before they start.

DocKnow is the missing piece in your billing performance stack. It goes beyond automating data entry by checking eligibility, identifying COB issues, and reconciling conflicting data before it reaches your billing team.

Most lab billing software starts working downstream. But the problem starts here.

Most lab billing software starts working downstream. But the problem starts here.

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

Accelerate throughput and turnaround time (TAT) by going beyond simple OCR.

DocKnow understands context, relationships, and terminology specific to precision medicine. It can identify and flag conflicting information automatically and perform eligibility checks to confirm test coverage instantly.

DocKnow finding mismatched data.

Extract structured and unstructured data

Go beyond simple OCR.

DocKnow understands context, relationships, and terminology specific to precision medicine. It can identify and flag conflicting information automatically and perform eligibility checks to confirm test 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.

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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 laboratory billing questions we’re asked the most.

In many labs, revenue cycle issues begin during ordering and accessioning. Patient demographics may be incomplete, insurance information may be outdated, the diagnosis may not support the ordered test, or required details may be buried in a paper record or digital portal. Those problems follow the sample downstream.

And when nearly half of denials may originate from problems like these, improving the quality of the data and documentation collected before billing can directly impact downstream revenue performance.

No. Lab RCM and billing software is a specialized category of technology built to manage functions like claim creation and submission. DocKnow is designed to complement those systems, not replace them.

DocKnow operates further upstream, helping laboratories capture, structure, validate, and reconcile the patient, insurance, authorization, and documentation data that billing systems ultimately depend on.

XiFin reports that 12–20% of lab requisitions arrive with missing or incorrect information (e.g., “invalid patient demographics”), creating downstream billing problems and unnecessary denials.

For certain Medicare laboratory services, insufficient documentation accounted for 87.7% of improper payments in one reporting period.

Not every denial can be prevented at intake. But many can be. That makes better data collection, validation, and documentation one of the clearest opportunities labs have to reduce avoidable denials upstream.

DocKnow does not replace a laboratory billing or coding system, and it does not determine reimbursement on its own.

However, by extracting and reconciling information from requisitions and clinical documentation, DocKnow can validate billing codes against other case data and flag discrepancies for review. Labs can also apply workflow- and payer-specific rules to identify cases where the available coding or supporting documentation may be incomplete.

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 laboratory billing questions we’re asked the most.

In many labs, revenue cycle issues begin during ordering and accessioning. Patient demographics may be incomplete, insurance information may be outdated, the diagnosis may not support the ordered test, or required details may be buried in a paper record or digital portal. Those problems follow the sample downstream.

And when nearly half of denials may originate from problems like these, improving the quality of the data and documentation collected before billing can directly impact downstream revenue performance.

No. Lab RCM and billing software is a specialized category of technology built to manage functions like claim creation and submission. DocKnow is designed to complement those systems, not replace them.

DocKnow operates further upstream, helping laboratories capture, structure, validate, and reconcile the patient, insurance, authorization, and documentation data that billing systems ultimately depend on.

XiFin reports that 12–20% of lab requisitions arrive with missing or incorrect information (e.g., “invalid patient demographics”), creating downstream billing problems and unnecessary denials.

For certain Medicare laboratory services, insufficient documentation accounted for 87.7% of improper payments in one reporting period.

Not every denial can be prevented at intake. But many can be. That makes better data collection, validation, and documentation one of the clearest opportunities labs have to reduce avoidable denials upstream.

DocKnow does not replace a laboratory billing or coding system, and it does not determine reimbursement on its own.

However, by extracting and reconciling information from requisitions and clinical documentation, DocKnow can validate billing codes against other case data and flag discrepancies for review. Labs can also apply workflow- and payer-specific rules to identify cases where the available coding or supporting documentation may be incomplete.

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.

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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
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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.”

Better billing starts before the billing team ever sees the case. DocKnow makes sure the data, documentation, and payer requirements are in place from the start.

Schedule your demo. →

Better billing starts before the billing team ever sees the case. DocKnow makes sure the data, documentation, and payer requirements are in place from the start.

Schedule your demo. →

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