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Optimize the data workflows that drive laboratory operations.

DocKnow captures and validates incoming document data, then guides your team through how to proceed, giving them instant access to the right SOPs, contacts, and next steps.

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HIPAA Compliant

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SOC 2 Type II

Optimize the data workflows that drive laboratory operations.

DocKnow captures and validates incoming document data, then guides your team through how to proceed, giving them instant access to the right SOPs, contacts, and next steps.

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

Onymos DocKnow

Better data,
better insights,
better decisions.

With clean, validated data and built-in guidance, your team can resolve issues faster, make consistent decisions, and keep work moving without delays or unnecessary handoffs. And it all starts at intake.

DocKnow

Better data, better insights, better decisions..

Eliminate guesswork across your lab. With clean, validated data and built-in guidance, your team can resolve issues faster, make consistent decisions, and keep work moving without delays or unnecessary handoffs. And it all starts at intake.

  • Hyperautomate data capture: DocKnow intelligently extracts, validates, and enriches the document data that downstream ops teams all rely on for their testing, client services, billing, and compliance workflows.
  • Build a propietary knowledge base: DocKnow unifies SOPs, reports, emails, and connected systems into a centralized source of truth, allowing users to query it through a private enterprise LLM and receive source-linked answers.
  • Hyperautomate data capture: DocKnow intelligently extracts, validates, and enriches the document data that downstream ops teams all rely on for their testing, client services, billing, and compliance workflows.
  • Build a propietary knowledge base: DocKnow unifies SOPs, reports, emails, and connected systems into a centralized source of truth, allowing users to query it through a private enterprise LLM and receive source-linked answers.
  • Turn errors into clear action: Get one-click access to error code explanations, contact lists, and internal notes to resolve surfaced issues.
  • Measure performance: Track time spent on data edits, client support, and issue resolution to uncover inefficiencies and optimize operations.
  • Turn errors into clear action: Get one-click access to error code explanations, contact lists, and internal notes to resolve surfaced issues.
  • Measure performance: Track time spent on data edits, client support, and issue resolution to uncover inefficiencies and optimize operations.

Get answers to some of the DocKnow and laboratory operations questions we’re asked the most.

DocKnow tracks high-level metrics like total documents processed and which providers consistently submit complete and accurate orders. It also enables deeper, granular analysis, such as identifying which form fields are edited most frequently.

Role-based views are also available to ensure each team sees the metrics that matter most, helping identify bottlenecks and measure improvements in efficiency.

DocKnow supports autonomous processing, but is designed to keep humans in the loop. It handles repetitive data entry automatically, allowing staff to focus on higher-value work like validation and exception handling.

As a result, teams work more efficiently and can scale throughput without adding headcount.

Intake is where DocKnow starts, but not where it stops. By fixing data at the source, it improves everything downstream, from QA to billing.

At the same time, DocKnow is flexible enough to be deployed across other workflows to capture, validate, and structure data wherever manual data entry impacts lab performance.

Yes. DocKnow uses AI and natural language processing (NLP) to interpret unstructured documents. It locates relevant data points across variable layouts and integrates them into structured output, enabling labs to standardize intake regardless of the data source.

DocKnow enriches data through cross-document reconciliation and system-level context. It leverages 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 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.

Yes. DocKnow integrates with your existing infrastructure and is fully cloud-agnostic, supporting AWS, Google Cloud, Azure, and on-prem deployments. We also provide white-glove guidance on deployment architecture.

DocKnow is currently operating in production alongside platforms like LabVantage, Salesforce, and XiFin.

Public LLMs reference the open internet. They don’t have access to your organization’s internal data.

DocKnow, on the other hand, includes a private LLM that only references your organization’s internal data (or the data you choose to give it access to) and runs entirely within your infrastructure. You get answers grounded in your actual knowledge base, maintain full data privacy, and avoid vendor lock-in or data exposure risks common with public LLMs.

SmartSync is the AI-powered data reconciliation engine within the DocKnow platform. It automatically compares extracted values to data in supporting documents and connected systems to detect missing, mismatched, or conflicting information. When discrepancies are found, SmartSync flags them for resolution before data is passed downstream, helping labs ensure accuracy, reduce rework, and maintain clean, compliant records.

Nucleus 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 and laboratory operations questions we’re asked the most.

DocKnow tracks high-level metrics like total documents processed and which providers consistently submit complete and accurate orders. It also enables deeper, granular analysis, such as identifying which form fields are edited most frequently.

Role-based views are also available to ensure each team sees the metrics that matter most, helping identify bottlenecks and measure improvements in efficiency.

DocKnow supports autonomous processing, but is designed to keep humans in the loop. It handles repetitive data entry automatically, allowing staff to focus on higher-value work like validation and exception handling.

As a result, teams work more efficiently and can scale throughput without adding headcount.

Intake is where DocKnow starts, but not where it stops. By fixing data at the source, it improves everything downstream, from QA to billing.

At the same time, DocKnow is flexible enough to be deployed across other workflows to capture, validate, and structure data wherever manual data entry impacts lab performance.

Yes. DocKnow uses AI and natural language processing (NLP) to interpret unstructured documents. It locates relevant data points across variable layouts and integrates them into structured output, enabling labs to standardize intake regardless of the data source.

DocKnow enriches data through cross-document reconciliation and system-level context. It leverages 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 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.

Yes. DocKnow integrates with your existing infrastructure and is fully cloud-agnostic, supporting AWS, Google Cloud, Azure, and on-prem deployments. We also provide white-glove guidance on deployment architecture.

DocKnow is currently operating in production alongside platforms like LabVantage, Salesforce, and XiFin.

Public LLMs reference the open internet. They don’t have access to your organization’s internal data.

DocKnow, on the other hand, includes a private LLM that only references your organization’s internal data (or the data you choose to give it access to) and runs entirely within your infrastructure. You get answers grounded in your actual knowledge base, maintain full data privacy, and avoid vendor lock-in or data exposure risks common with public LLMs.

SmartSync is the AI-powered data reconciliation engine within the DocKnow platform. It automatically compares extracted values to data in supporting documents and connected systems to detect missing, mismatched, or conflicting information. When discrepancies are found, SmartSync flags them for resolution before data is passed downstream, helping labs ensure accuracy, reduce rework, and maintain clean, compliant records.

Nucleus 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.”

Eliminate time spent figuring out what to do next and keep laboratory operations moving with AI-powered guidance.

Schedule your demo. →

Eliminate time spent figuring out what to do next and keep laboratory operations moving with AI-powered guidance.

Schedule your demo. →

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