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Make accessioning the fastest part of your lab.

Data entry at intake sets the pace for your entire lab. DocKnow hyperautomates it. Eliminate errors, boost operational efficiency, and accelerate the revenue cycle.

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HIPAA Compliant

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SOC 2 Type II

Make accessioning the fastest part of your lab.

Data entry at intake sets the pace for your entire lab. DocKnow hyperautomates it. Eliminate errors, boost operational efficiency, and accelerate the revenue cycle.

Checkmark icon

HIPAA Compliant

Checkmark icon

SOC 2 Type II

14m

avg. proc./TRF (pre-DocKnow)

2m 47s

avg. proc./TRF (post-DocKnow)

5x

faster document processing

14m

avg. proc./TRF (pre-DocKnow)

2m 47s

avg. proc./TRF (post-DocKnow)

5X

faster document processing

Onymos DocKnow

Eliminate manual
data entry and
scale test volume.

You can’t scale lab throughput with bad data. DocKnow fixes that at intake. It automatically captures information on TRFs and other documents, eliminates errors, standardizes inputs, and ensures every new record is complete before it moves downstream.

Onymos DocKnow

Eliminate manual data entry and scale test volume.

You can’t scale lab throughput with bad data. DocKnow fixes that at intake. It automatically captures information on TRFs and other documents, eliminates errors, standardizes inputs, and ensures every new record is complete before it moves downstream.

  • Capture from anywhere: Automatically extract and validate the data from TRFs and supporting documents, no matter where they enter your workflow.
  • Eliminate errors: Fix and enrich data at the source. SmartSync detects and resolves gaps and inconsistencies at intake, increasing throughput while cutting QA overhead.
  • Capture from anywhere: Automatically extract and validate the data from TRFs and supporting documents, no matter where they enter your workflow.
  • Eliminate errors: Fix and enrich data at the source. SmartSync detects and resolves gaps and inconsistencies at intake, increasing throughput while cutting QA overhead.
  • Turn data into insight: Track trends, performance, and variability across your own team and ordering providers.
  • Streamline operations: Use configurable business rules to structure data and enable clean, auditable handoffs to LIMS, billing, and connected systems.
  • Turn data into insight: Track trends, performance, and variability across your own team and ordering providers.
  • Streamline operations: Use configurable business rules to structure data and enable clean, auditable handoffs to LIMS, billing, and connected systems.

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

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.

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 intake questions we’re asked the most.

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.

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.

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 2025

“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 manual data entry during laboratory accessioning and capture clean data every time.

Schedule your demo. →

Eliminate manual data entry during laboratory accessioning and capture clean data every time.

Schedule your demo. →

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