onymos-logo

You don’t have a LIMS problem.You have a data problem.

You don’t fix a data problem inside your LIMS. You fix it before it gets there. Onymos DocKnow is the intelligent intake layer that ensures you have clean data from the start.

Checkmark icon

HIPAA Compliant

Checkmark icon

SOC 2 Type II

You don’t have a LIMS problem.You have a data problem.

You don’t fix a data problem inside your LIMS. You fix it before it gets there. Onymos DocKnow is the intelligent intake layer that ensures you have clean data from the start.

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

Fixing bad data
at the source for leading labs.

DocKnow is the missing intelligent intake layer between bad data and every system your ops teams depend on. It validates and enriches document data the moment it enters your lab, ensuring faster throughput, fewer errors, more reliable reimbursement, and better outcomes across every workflow.

The Problem

Fixing bad data at the source for leading labs.

DocKnow is the missing intelligent intake layer between bad data and every system your ops teams depend on. It validates and enriches document data the moment it enters your lab, ensuring faster throughput, fewer errors, more reliable reimbursement, and better outcomes across every workflow.

Build your intelligent intake layer.

Build your intelligent intake layer.

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

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.

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.

Guardant logo

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 DocKnow/LIMS questions we’re asked the most.

Look at where issues originate.

LIMS platforms can be rigid, difficult to configure, and slow to adapt to changing workflows. But even with those limitations, most systems perform well when they receive clean, structured data.

In most labs, the bottleneck starts before the data ever reaches the system. If you’re dealing with missing field values and using manual data entry, the problem is likely your data.

A LIMS (Laboratory Information Management System) manages samples, workflows, and results.

An intake layer like DocKnow operates upstream. It captures, validates, and structures data before it reaches your LIMS. It’s the missing layer in most lab tech stacks, bridging the gap between messy real-world inputs and the clean data your LIMS expects.

Without clean data, even the best LIMS will struggle.

No. DocKnow is designed to work alongside your existing LIMS, not replace it. It acts as an intelligent intake layer that ensures your LIMS receives clean, structured, system-ready data so it can operate more efficiently.

DocKnow integrates with leading platforms like LabVantage, LabWare, and even custom LIMS environments built on technologies like Salesforce.

Your LIMS doesn’t struggle because it’s flawed. It struggles because it’s fed bad data. Research shows that up to 70% of lab errors originate before testing begins , and only a fraction of errors occur during actual analysis.

If the data entering your system is messy, every downstream workflow inherits that problem.

Yes. DocKnow is designed to be able to integrate with every part of your existing lab ecosystem, including LIMS, EHRs, and billing platforms. It delivers data via configurable APIs in standard formats like FHIR and JSON.

DocKnow achieves its high accuracy by combining OCR with AI analysis, custom business rules, and human oversight. If data is mismatched or confidence is low, the system presents human reviewers with simple, visual indicators that make correcting potential errors quick and easy.

Even without human intervention, DocKnow’s AI can interpret handwriting with over 95% accuracy by considering field context, layout position, and related data.

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 DocKnow/LIMS questions we’re asked the most.

Look at where issues originate.

LIMS platforms can be rigid, difficult to configure, and slow to adapt to changing workflows. But even with those limitations, most systems perform well when they receive clean, structured data.

In most labs, the bottleneck starts before the data ever reaches the system. If you’re dealing with missing field values and using manual data entry, the problem is likely your data.

A LIMS (Laboratory Information Management System) manages samples, workflows, and results.

An intake layer like DocKnow operates upstream. It captures, validates, and structures data before it reaches your LIMS. It’s the missing layer in most lab tech stacks, bridging the gap between messy real-world inputs and the clean data your LIMS expects.

Without clean data, even the best LIMS will struggle.

No. DocKnow is designed to work alongside your existing LIMS, not replace it. It acts as an intelligent intake layer that ensures your LIMS receives clean, structured, system-ready data so it can operate more efficiently.

DocKnow integrates with leading platforms like LabVantage, LabWare, and even custom LIMS environments built on technologies like Salesforce.

Your LIMS doesn’t struggle because it’s flawed. It struggles because it’s fed bad data. Research shows that up to 70% of lab errors originate before testing begins , and only a fraction of errors occur during actual analysis.

If the data entering your system is messy, every downstream workflow inherits that problem.

Yes. DocKnow is designed to be able to integrate with every part of your existing lab ecosystem, including LIMS, EHRs, and billing platforms. It delivers data via configurable APIs in standard formats like FHIR and JSON.

DocKnow achieves its high accuracy by combining OCR with AI analysis, custom business rules, and human oversight. If data is mismatched or confidence is low, the system presents human reviewers with simple, visual indicators that make correcting potential errors quick and easy.

Even without human intervention, DocKnow’s AI can interpret handwriting with over 95% accuracy by considering field context, layout position, and related data.

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.

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
KM logo

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.”

KMWorld 100

KM logo

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.”

Stop errors before they reach your LIMS. Capture clean data from the start. Keep your lab fast, accurate, and audit-ready.

Schedule your demo. →

Stop errors before they reach your LIMS. Capture clean data from the start. Keep your lab fast, accurate, and audit-ready.

Schedule your demo. →

Overlay
x

Contact us to get started

Talk to experts