Read or download the “2024 SaaS Disruption Report: Security and Data”

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Focus on people, not paper.

Onymos DocKnow is an intelligent process automator, document digitizer, and data extractor you can add to any of your apps or workflows. Save time and scale bigger, faster. No logging into an Onymos dashboard. No “Onymos Cloud.” Get the source code, own the infrastructure, and start transforming at the speed of AI.

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DocKnow

Focus on people, not paper.

Onymos DocKnow is an intelligent process automator, document digitizer, and data extractor you can add to any of your apps or workflows. Save time and scale bigger, faster. No logging into an Onymos dashboard. No “Onymos Cloud.” Get the source code, own the infrastructure, and start transforming at the speed of AI.

Get a live demo
DocKnow
  • Build your process: Directly upload single and multi-page documents, or even entire folders from the document center. Integrate seamlessly with third-party systems to create a custom document 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, or even entire folders from the document center. Integrate seamlessly with third-party systems to create a custom document 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.
  • Control everything: Configure your document rules engine to automatically flag or convert invalid inputs and set custom model confidence thresholds for DocKnow’s data extractor.
  • 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.
  • Control everything: Configure your document rules engine to automatically flag or convert invalid inputs and set custom model confidence thresholds for DocKnow’s data extractor.
  • Use an AI assistant: Talk to your Doc to summarize, search, or just get deeper data insights.
  • Be more accurate: Your AI assistant uses retrieval-augmented generation (RAG) to minimize the kinds of “hallucinations” that affect the reliability of other AI platforms and services.
  • Use an AI assistant: Talk to your Doc to summarize, search, or just get deeper data insights.
  • Be more accurate: Your AI assistant uses retrieval-augmented generation (RAG) to minimize the kinds of “hallucinations” that affect the reliability of other AI platforms and services.

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

AI document processing uses artificial intelligence 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.

RAG enhances the accuracy of your AI assistant (Doc) by using your uploaded document as a custom “source of truth.” Doc will only ever retrieve data from your document (or extrapolate from data in that document) to generate its responses and insights. This hybrid approach leverages both retrieval systems and AI-powered generation to ensure that output is not only accurate but contextually relevant.

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.

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 “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 control with in-house development or faster time to market 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.

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

AI document processing uses artificial intelligence 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.

RAG enhances the accuracy of your AI assistant (Doc) by using your uploaded document as a custom “source of truth.” Doc will only ever retrieve data from your document (or extrapolate from data in that document) to generate its responses and insights. This hybrid approach leverages both retrieval systems and AI-powered generation to ensure that output is not only accurate but contextually relevant.

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.

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 “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 control with in-house development or faster time to market 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.

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.

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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