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Stop preventable
denials at the source.

Preventable denials start with bad data. DocKnow fixes that at intake by capturing, validating, and enriching the information in TRFs and other critical documents before it ever gets downstream.

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HIPAA Compliant

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SOC 2 Type II

Stop preventable
denials at the source.

Preventable denials start with bad data. DocKnow fixes that at intake by capturing, validating, and enriching the data in TRFs and other critical documents before it ever gets downstream.

Checkmark icon

HIPAA Compliant

Checkmark icon

SOC 2 Type II

>30%

pathology & molecular denial rate

>50%

of denied claims are overturned

>60%

of denied claims are never appealed

>30%

pathology & molecular denial rate

>50%

of denied claims are overturned

>60%

of denied claims are never appealed

Onymos DocKnow

Protect revenue
and accelerate reimbursement.

When your RCM team can submit claims with complete and accurate data from the start, that means fewer appeals, less rework, and faster, more reliable reimbursement.

Onymos DocKnow

Protect revenue and accelerate reimbursement.

When your RCM team can submit claims with complete and accurate data from the start, that means fewer appeals, less rework, and faster, more reliable reimbursement.

  • Capture the right data from the start: Ensure claims are built on complete and accurate information by automatically capturing, validating, and enriching data on TRFs and their supporting documents at intake.
  • Catch eligibility issues early: Perform eligibility checks upfront to decide if a test should move forward or be flagged for high-priority review by client services or RCM teams.
  • Capture the right data from the start: Ensure claims are built on complete and accurate information by automatically capturing, validating, and enriching data on TRFs and their supporting documents at intake.
  • Catch eligibility issues early: Perform eligibility checks upfront to decide if a test should move forward or be flagged for high-priority review by client services or RCM teams.
  • Reduce incomplete submissions: Track your clients’ form fill behavior to uncover where information is missed and improve completion rates over time.
  • Learn from denials to prevent future ones: Feed denial data back into the system to identify recurring issues and automatically create rules that prevent them from happening again.
    Reduce incomplete submissions: Track your clients’ form fill behavior to uncover where information is missed and improve completion rates over time.
  • Learn from denials to prevent future ones: Feed denial data back into the system to identify recurring issues and automatically create rules that prevent them from happening again.

Get answers to some of the DocKnow, RCM, and claims questions we’re asked the most.

Yes. DocKnow ensures claims are built on complete, accurate data from the start. By resolving missing information, inconsistencies, and documentation gaps at intake, it prevents the issues that most commonly lead to denials.

For example, you can define custom rules to verify required claim elements, like CPT and ICD-10 codes, are captured and validated before testing even begins.

No. Those platforms manage billing, claims submission, and reimbursement workflows.

DocKnow sits upstream and ensures the data they rely on is complete, accurate, and validated before a claim is ever submitted. Most RCM challenges are data problems in disguise. By fixing those issues at intake, DocKnow helps your existing RCM systems perform better with fewer denials, less rework, and faster reimbursement.

DocKnow uses supporting documents and connected systems to fill gaps, normalize formats, and resolve discrepancies. That transforms unstructured, fragmented inputs into structured, usable data.

For example, if a test requisition form (TRF) is missing the patient’s date of birth, but an attached insurance card includes it, DocKnow can pull the DOB from the supporting document, standardize its format, and fill the missing field (all while maintaining a link to the source). A human-in-the-loop reviewer can still validate DocKnow’s decision.

DocKnow’s domain-trained AI comes with built-in intelligence to identify missing or conflicting data, but can be further configured to automatically format data and route edge cases into structured QA workflows.

For example, if a phone number appears as “(555) 123-4567” on one document and “5551234567” on another, DocKnow can normalize both into your lab’s preferred format (while also flagging cases where the numbers don’t match).

Teams can review, resolve, and approve records before they reach your LIMS or RCM systems.

DocKnow can run autonomously, but it’s built to collaborate with human reviewers. Confidence scores determine when data requires review, allowing teams to control exactly when exceptions are surfaced and validated.

DocKnow is deployed inside your environment, whether that’s on-premises or in your private cloud. Onymos provides support for secure setup, ingestion, tuning, and integration with downstream systems, all without ever accessing your data.

No-Data Architecture is Onymos’ award-winning, privacy-first design approach that ensures we never see or access your data. Unlike traditional SaaS or AI platforms that require sending your data to external servers, Onymos solutions run entirely inside your infrastructure, whether on-premises or in your private cloud. We don’t process, store, or transmit your information. This architecture eliminates vendor risk, supports compliance in regulated industries, and gives you full control over your most sensitive information.

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.

Get answers to some of the DocKnow, RCM, and claims questions we’re asked the most.

Yes. DocKnow ensures claims are built on complete, accurate data from the start. By resolving missing information, inconsistencies, and documentation gaps at intake, it prevents the issues that most commonly lead to denials.

For example, you can define custom rules to verify required claim elements, like CPT and ICD-10 codes, are captured and validated before testing even begins.

No. Those platforms manage billing, claims submission, and reimbursement workflows.

DocKnow sits upstream and ensures the data they rely on is complete, accurate, and validated before a claim is ever submitted. Most RCM challenges are data problems in disguise. By fixing those issues at intake, DocKnow helps your existing RCM systems perform better with fewer denials, less rework, and faster reimbursement.

DocKnow uses supporting documents and connected systems to fill gaps, normalize formats, and resolve discrepancies. That transforms unstructured, fragmented inputs into structured, usable data.

For example, if a test requisition form (TRF) is missing the patient’s date of birth, but an attached insurance card includes it, DocKnow can pull the DOB from the supporting document, standardize its format, and fill the missing field (all while maintaining a link to the source). A human-in-the-loop reviewer can still validate DocKnow’s decision.

DocKnow’s domain-trained AI comes with built-in intelligence to identify missing or conflicting data, but can be further configured to automatically format data and route edge cases into structured QA workflows.

For example, if a phone number appears as “(555) 123-4567” on one document and “5551234567” on another, DocKnow can normalize both into your lab’s preferred format (while also flagging cases where the numbers don’t match).

Teams can review, resolve, and approve records before they reach your LIMS or RCM systems.

DocKnow can run autonomously, but it’s built to collaborate with human reviewers. Confidence scores determine when data requires review, allowing teams to control exactly when exceptions are surfaced and validated.

DocKnow is deployed inside your environment, whether that’s on-premises or in your private cloud. Onymos provides support for secure setup, ingestion, tuning, and integration with downstream systems, all without ever accessing your data.

No-Data Architecture is Onymos’ award-winning, privacy-first design approach that ensures we never see or access your data. Unlike traditional SaaS or AI platforms that require sending your data to external servers, Onymos solutions run entirely inside your infrastructure, whether on-premises or in your private cloud. We don’t process, store, or transmit your information. This architecture eliminates vendor risk, supports compliance in regulated industries, and gives you full control over your most sensitive information.

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.

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.

SOC 2 badge
HIPAA
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100 Companies That Matter in Knowledge Management 2026

“The importance of innovation and creativity in KM cannot be overstated. In many respects, AI and other emerging technologies have cemented the importance of KM within organizations, making KM a ‘must have’ rather than a ‘nice-to-have’ vehicle for knowledge sharing and organizational success.”

Fix less. Prove more.
Get source-linked, audit-ready data from the first touch.

Schedule your demo. →

Fix less. Prove more.
Get source-linked, audit-ready data from the first touch.

Schedule your demo. →

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