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Stay compliant by getting data right the first time. Every time.

Ensure clean, complete, and verifiable data from the first touch. DocKnow helps your team eliminate errors, reduce rework, and stay in compliance with CLIA and CAP without slowing down.

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HIPAA Compliant

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SOC 2 Type II

Stay compliant by getting data right the first time. Every time.

Ensure clean, complete, and verifiable data from the first touch. DocKnow helps your team eliminate errors, reduce rework, and stay in compliance with CLIA and CAP without slowing down.

Checkmark icon

HIPAA Compliant

Checkmark icon

SOC 2 Type II

68%

of lab errors occur before your LIMS

73%

of specimen errors are avoidable

81%

of complex forms have incomplete data

68%

of lab errors occur before your LIMS

73%

of specimen errors are avoidable

19%

of forms have complete data

Onymos DocKnow

Eliminate errors. Reduce rework.
Don’t slow down.

DocKnow sits between bad data and your QA team. It works by automatically extracting, validating, and enriching document data at intake, or wherever information enters your workflow. With DocKnow, the records your ops rely on are always more complete, accurate, and audit-ready.

Onymos DocKnow

Eliminate errors. Reduce rework. Don’t slow down.

DocKnow sits between bad data and your QA team. It works by automatically extracting, validating, and enriching document data at intake, or wherever information enters your workflow. With DocKnow, the records your ops rely on are always more complete, accurate, and audit-ready

  • Automatically capture sensitive data: DocKnow validates, enriches, and reconciles information starting at intake, generating a complete data lineage with source-linked validation.
  • Resolve errors earlier: Automatically detect missing, inconsistent, or non-compliant data and flag exceptions for QA review, before they impact downstream systems.
  • Automatically capture sensitive data: DocKnow validates, enriches, and reconciles information starting at intake, generating a complete data lineage with source-linked validation.
  • Resolve errors earlier: Automatically detect missing, inconsistent, or non-compliant data and flag exceptions for QA review, before they impact downstream systems.
  • No data leaves your environment: DocKnow operates entirely within your infrastructure, eliminating vendor data exposure, simplifying compliance, and enabling more secure reporting.
  • No one-size-fits-all logic: Use configurable business rules to customize validation based on your lab’s specific requirements, from test orders to billing data.
  • No data leaves your environment: DocKnow operates entirely within your infrastructure, eliminating vendor data exposure, simplifying compliance, and enabling more secure reporting.
  • No one-size-fits-all logic: Use configurable business rules to customize validation based on your lab’s specific requirements, from test orders to billing data.

Get answers to some of the laboratory compliance questions we’re asked the most.

DocKnow enforces completeness, consistency, and traceability at the point of data entry. Every record is validated against defined rules, discrepancies are flagged, and all actions are logged. That creates audit-ready documentation aligned with CLIA and CAP expectations.

These kinds of logs are critical for audit-readiness. For example, approximately 83% of Medicare improper payments are attributed to insufficient documentation, where records fail to support the services billed.

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 supports role-based access, allowing teams across quality, compliance, R&D, RCM, and operations to interact with the system based on their responsibilities. Business rules can be selectively applied by role or document type, ensuring each team sees and enforces only what’s relevant to their function.

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 laboratory compliance questions we’re asked the most.

DocKnow enforces completeness, consistency, and traceability at the point of data entry. Every record is validated against defined rules, discrepancies are flagged, and all actions are logged. That creates audit-ready documentation aligned with CLIA and CAP expectations.

These kinds of logs are critical for audit-readiness. For example, approximately 83% of Medicare improper payments are attributed to insufficient documentation, where records fail to support the services billed.

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 supports role-based access, allowing teams across quality, compliance, R&D, RCM, and operations to interact with the system based on their responsibilities. Business rules can be selectively applied by role or document type, ensuring each team sees and enforces only what’s relevant to their function.

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.

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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.

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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