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Unlock, extract, and transform healthcare and life sciences data.

Onymos DocKnow hyperautomates your most complex manual workflows with AI. Digitize sensitive documents, transform unstructured data into intelligence, and do it all your way. No rigid templates, no locked-in processes, and no logging into an “Onymos Dashboard” in an “Onymos Cloud.” Deploy anywhere, any way, and move faster than ever.

Get a live demo

Unlock, extract, and transform healthcare and life sciences data.

Onymos DocKnow hyperautomates your most complex manual workflows with AI. Digitize sensitive documents, transform unstructured data into intelligence, and do it all your way. No rigid templates, no locked-in processes, and no logging into an “Onymos Dashboard” in an “Onymos Cloud.” Deploy anywhere, any way, and move faster than ever.

Get a live demo

They transform with Onymos.

  • Build your process: Directly upload single and multi-page documents (like TRFs and lab results) or integrate seamlessly with other systems to create a custom data capture pipeline.
  • Don’t get locked in: Onymos doesn’t see or capture any document data and enterprise customers can license the actual source code to customize the look, feel, and functionality of every part of DocKnow.
  • Build your process: Directly upload single and multi-page documents (like TRFs and lab results) or integrate seamlessly with other systems to create a custom data capture pipeline.
  • Don’t get locked in: Onymos doesn’t see or capture any document data and enterprise customers can license the actual source code to customize the look, feel, and functionality of every part of DocKnow.
  • Extract and analyze: Capture printed and handwritten text, barcodes, QR codes, and more from structured and unstructured PDF, PNG, and JPEG documents/images.
  • Reconcile data: Identify conflicting data points across hundreds of pages and supporting documents — instantly compare and correct them.
  • Extract and analyze: Capture printed and handwritten text, barcodes, QR codes, and more from structured and unstructured PDF, PNG, and JPEG documents/images.
  • Reconcile data: Identify conflicting data points across hundreds of pages and supporting documents — instantly compare and correct them.
  • See more: A JSON editor, visual bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction dramatically improve readability for human-in-the-loop reviewers.
  • Unify everything: Combine extracted data into new records and reports and automatically apply custom business rules to standardize formatting and classification.
  • See more: A JSON editor, visual bounding boxes, automatic zoom-in/zoom-out, image enhancement, and skew correction dramatically improve readability for human-in-the-loop reviewers.
  • Unify everything: Combine extracted data into new records and reports and automatically apply custom business rules to standardize formatting and classification.
  • AI-powered insights: DocKnow uses unique Cognitive Insight Models (CIMs) configured for your use case to generate the insights you need the most, like helping you identify clinical trial candidates or detecting patterns in complex test results.
  • Sync and share: Effortlessly export documents and data in your preferred formats to downstream systems (like a LIMs or an EHR) via configurable connectors.
  • AI-powered insights: DocKnow uses unique Cognitive Insight Models (CIMs) configured for your use case to generate the insights you need the most, like helping you identify clinical trial candidates or detecting patterns in complex test results.
  • Sync and share: Effortlessly export documents and data in your preferred formats to downstream systems (like a LIMs or an EHR) via configurable connectors.
Albertsons logo

Customer Story:

Building VaxConsent in 4 weeks

In the Spring of 2021, mass vaccinations for COVID-19 were well underway. Healthcare providers across the country were vaccinating thousands of people per day. And Albertsons, the nationwide pharmacy, realized they were generating a mountain of paper vaccine consent forms.

Albertsons turned to Onymos to help it rapidly develop a mobile app for their technicians to scan in these forms, utilize the latest cloud-based AI/ML form recognition technology, and submit the extracted data, along with an image of the form, into their electronic patient management system.

Albertsons logo

Customer Story:

Building VaxConsent in 4 weeks

In the Spring of 2021, mass vaccinations for COVID-19 were well underway. Healthcare providers across the country were vaccinating thousands of people per day. And Albertsons, the nationwide pharmacy, realized they were generating a mountain of paper vaccine consent forms.

Albertsons turned to Onymos to help it rapidly develop a mobile app for their technicians to scan in these forms, utilize the latest cloud-based AI/ML form recognition technology, and submit the extracted data, along with an image of the form, into their electronic patient management system.

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

AI document processing uses AI to automate the extraction, classification, and analysis of data. It can streamline workflows and reduce manual data entry, allowing organizations to manage large volumes of documents far more efficiently.

DocKnow includes AI with agentic capabilities (like adaptive workflow orchestration — being able to independently classify incoming documents and route them into predetermined workflows). Our team can even work with you to expand those capabilities to suit your specific use case.

A CIM (Cognitive Insight Model) is an AI system designed to generate insights. Unlike LLMs (Large Language Models), which excel at conversational text generation, CIMs specialize in complex, domain-specific analysis.

For example, in a healthcare setting, a CIM could analyze patient records to identify individualized risk factors, assisting clinicians in making better care decisions.

Yes, DocKnow uses Retrieval-Augmented Generation (RAG). It’s a technique to enhance the reliability and accuracy of AI responses by using external knowledge sources (like, in DocKnow’s case, your documents or a specified database). It dramatically reduces “hallucinations,” or nonsensical responses, by controlling what information the AI can use to “think.”

Supporting documentation refers to the additional records that provide context in relation to primary documents. In AI document processing, supporting documentation is often processed to ensure accuracy and compliance, helping to verify details like identity, transactions, or claims.

Structured data refers to information that is organized in a consistent, predefined format, making it straightforward to extract and process. Unstructured data, on the other hand, lacks a fixed format and includes scanned images and emails.

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.

DocKnow is an AI document processing platform that combines multiple technologies like optical character recognition (OCR) to extract data, and language models (LMs) to classify and analyze it.

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.

Yes, DocKnow includes a simple, intuitive REST API to do things like “capture,” “analyze,” and “return results.”

DocKnow is typically priced based on usage (e.g., the number of API calls or number of forms processed).

We also offer “Partnership Pricing,” meaning you can defer payment until your team or organization meets an agreed-upon benchmark or success metric. We won’t be successful unless you’re successful.

Before DocKnow, enterprises who wanted to automate or digitize document processing faced a tradeoff: More security and deep-level control with in-house development or faster time to production with a third-party solution.

But DocKnow lets enterprises have both — a ready-to-roll-out AI document processing platform that offers complete control over the code, the latest AI/ML capabilities, and total data sovereignty.

With DocKnow, you’ll avoid vendor lock-in, be more secure, be more agile, process more documents (faster), and get more insights into your data.

You don’t.

DocKnow is the most modular, adaptable AI document processing platform in healthcare and life sciences. Choose and purchase only the features your organization needs.

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

AI document processing uses AI to automate the extraction, classification, and analysis of data. It can streamline workflows and reduce manual data entry, allowing organizations to manage large volumes of documents far more efficiently.

DocKnow includes AI with agentic capabilities (like adaptive workflow orchestration — being able to independently classify incoming documents and route them into predetermined workflows). Our team can even work with you to expand those capabilities to suit your specific use case.

A CIM (Cognitive Insight Model) is an AI system designed to generate insights. Unlike LLMs (Large Language Models), which excel at conversational text generation, CIMs specialize in complex, domain-specific analysis.

For example, in a healthcare setting, a CIM could analyze patient records to identify individualized risk factors, assisting clinicians in making better care decisions.

Yes, DocKnow uses Retrieval-Augmented Generation (RAG). It’s a technique to enhance the reliability and accuracy of AI responses by using external knowledge sources (like, in DocKnow’s case, your documents or a specified database). It dramatically reduces “hallucinations,” or nonsensical responses, by controlling what information the AI can use to “think.”

Supporting documentation refers to the additional records that provide context in relation to primary documents. In AI document processing, supporting documentation is often processed to ensure accuracy and compliance, helping to verify details like identity, transactions, or claims.

Structured data refers to information that is organized in a consistent, predefined format, making it straightforward to extract and process. Unstructured data, on the other hand, lacks a fixed format and includes scanned images and emails.

DeviceFlow delivers enterprise-grade, pro-code customization without vendor lock-in. With access to the code, it is completely customizable. Restrictive traditional SaaS and low-code/no-code platforms provide drag-and-drop simplicity but are constrained in handling complex, bespoke requirements.

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.

DocKnow is an AI document processing platform that combines multiple technologies like optical character recognition (OCR) to extract data, and language models (LMs) to classify and analyze it.

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.

Yes, DocKnow includes a simple, intuitive REST API to do things like “capture,” “analyze,” and “return results.”

DocKnow is typically priced based on usage (e.g., the number of API calls or number of forms processed).

We also offer “Partnership Pricing,” meaning you can defer payment until your team or organization meets an agreed-upon benchmark or success metric. We won’t be successful unless you’re successful.

Before DocKnow, enterprises who wanted to automate or digitize document processing faced a tradeoff: More security and deep-level control with in-house development or faster time to production with a third-party solution.

But DocKnow lets enterprises have both — a ready-to-roll-out AI document processing platform that offers complete control over the code, the latest AI/ML capabilities, and total data sovereignty.

With DocKnow, you’ll avoid vendor lock-in, be more secure, be more agile, process more documents (faster), and get more insights into your data.

You don’t.

DocKnow is the most modular, adaptable AI document processing platform in healthcare and life sciences. Choose and purchase only the features your organization needs.

The SaaS Trap

What Every CIO Needs to Know

This guide uncovers how your dependency on typical third-party platforms can lock your business into costly, inflexible systems that cripple innovation and growth. Learn how to avoid vendor lock-in, optimize your software strategies, and take back control of your tech stack.

This is a must-read for CIOs and other technology leaders who want to stay ahead of the curve and protect their organization’s future.

The SaaS Trap preview

The SaaS Trap preview

The SaaS Trap

What Every CIO Needs to Know

This guide uncovers how your dependency on typical third-party platforms can lock your business into costly, inflexible systems that cripple innovation and growth. Learn how to avoid vendor lock-in, optimize your software strategies, and take back control of your tech stack.

This is a must-read for CIOs and other technology leaders who want to stay ahead of the curve and protect their organization’s future.

Author Jamie Goodnight

Jamie Goodnight in AI • Insight • Onymos

What Is Actual AI Innovation?

“Onymos VP of Engineering Bhavani Vangala told me, ‘Everybody has an API. Some have the UI layer. Our offering includes all of that, but it goes beyond that. I call what we’re doing knowledge-base embedding. It’s end-to-end.’”

Certified SOC 2 and HIPAA compliant.

Albertsons, CVS, Guardant Health, and more all use Onymos software to power their data processing, medical device technology, and rapid app development.

“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.

Certified SOC 2 and HIPAA compliant.

Albertsons, CVS, Guardant Health, and more all use Onymos software to power their data processing, medical device technology, and rapid app development.

“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

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