Raleigh, N.C. —November 28, 2023—Pryon, an industry leader in secure, AI knowledge management, today announced its selection of Oracle Cloud Infrastructure (OCI) as its preferred cloud provider for research and model training. With OCI’s high-performance infrastructure, Pryon expects to achieve at least 2x greater productivity compared to its incumbent provider.
“Pryon is the trusted pioneer in bringing AI to knowledge management. Our team has developed integral advancements in conversational interaction (CI), computer vision (CV), and natural language processing (NLP) to anticipate and satisfy the evolving needs of our clients,” says Chris Mahl, Pryon President and COO. “We selected OCI to fuel the pace of our research so we can continue to deliver the standard of innovation the industry has come to expect from Pryon. With OCI’s focus on performance efficiency, we can also maintain our commitment to responsible AI development and supporting ESG goals.”
Pryon’s first-of-its-kind knowledge operating system (OS) uses advanced AI including computer vision and large language models (LLMs) to read and understand organizations’ knowledge content to provide answers to customers’ or employees’ most pressing questions with industry-leading accuracy. Pryon’s enterprise-grade approach to AI helps avoid the risks of hallucination and data exposure associated with other generative tools.
Following Pryon’s recent $100 million Series B investment round, the Company’s selection of OCI as its preferred cloud infrastructure provider for research and training enables the team to further intensify its speed of innovation. With OCI's compute power efficiency and foundational security measures, Pryon continues to uphold its responsible AI practices.
“Pryon is developing AI solutions that address real-world challenges and opportunities across a range of industries. We’re excited to see the acceleration of their growth with OCI,” says Greg Pavlik, Senior Vice President, AI and Data Management Services, Oracle Cloud Infrastructure. “OCI’s built in, on by default security, superior price-performance, and high availability will assist the Pryon team as they scale up their research and model training capabilities.”
Pryon selected Oracle Cloud Infrastructure in May 2023.
About Pryon
Pryon turns hours of searching into moments of clarity that confer decision advantage. Founded in 2017 by the minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson, the Company’s full-stack AI-enhanced knowledge management platform transforms untapped digital assets from multiple sources into solutions that measurably improve outcomes. By weaving trusted content into a knowledge fabric, any user can unlock verifiable answers derived from complex, unstructured data. Pryon’s no-code technology can be deployed in a matter of days and is scalable to meet the advanced needs of multinational entities and the most secure federal government agencies. By reducing the distance between knowledge and people, Pryon fosters a more informed, resilient, and responsive organization.
For more information, or to request a demo, visit pryon.ai.
Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.
Contacts
Kayley Marner
media@pryon.com
Raleigh, N.C. —November 28, 2023—Pryon, an industry leader in secure, AI knowledge management, today announced its selection of Oracle Cloud Infrastructure (OCI) as its preferred cloud provider for research and model training. With OCI’s high-performance infrastructure, Pryon expects to achieve at least 2x greater productivity compared to its incumbent provider.
“Pryon is the trusted pioneer in bringing AI to knowledge management. Our team has developed integral advancements in conversational interaction (CI), computer vision (CV), and natural language processing (NLP) to anticipate and satisfy the evolving needs of our clients,” says Chris Mahl, Pryon President and COO. “We selected OCI to fuel the pace of our research so we can continue to deliver the standard of innovation the industry has come to expect from Pryon. With OCI’s focus on performance efficiency, we can also maintain our commitment to responsible AI development and supporting ESG goals.”
Pryon’s first-of-its-kind knowledge operating system (OS) uses advanced AI including computer vision and large language models (LLMs) to read and understand organizations’ knowledge content to provide answers to customers’ or employees’ most pressing questions with industry-leading accuracy. Pryon’s enterprise-grade approach to AI helps avoid the risks of hallucination and data exposure associated with other generative tools.
Following Pryon’s recent $100 million Series B investment round, the Company’s selection of OCI as its preferred cloud infrastructure provider for research and training enables the team to further intensify its speed of innovation. With OCI's compute power efficiency and foundational security measures, Pryon continues to uphold its responsible AI practices.
“Pryon is developing AI solutions that address real-world challenges and opportunities across a range of industries. We’re excited to see the acceleration of their growth with OCI,” says Greg Pavlik, Senior Vice President, AI and Data Management Services, Oracle Cloud Infrastructure. “OCI’s built in, on by default security, superior price-performance, and high availability will assist the Pryon team as they scale up their research and model training capabilities.”
Pryon selected Oracle Cloud Infrastructure in May 2023.
About Pryon
Pryon turns hours of searching into moments of clarity that confer decision advantage. Founded in 2017 by the minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson, the Company’s full-stack AI-enhanced knowledge management platform transforms untapped digital assets from multiple sources into solutions that measurably improve outcomes. By weaving trusted content into a knowledge fabric, any user can unlock verifiable answers derived from complex, unstructured data. Pryon’s no-code technology can be deployed in a matter of days and is scalable to meet the advanced needs of multinational entities and the most secure federal government agencies. By reducing the distance between knowledge and people, Pryon fosters a more informed, resilient, and responsive organization.
For more information, or to request a demo, visit pryon.ai.
Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.
Contacts
Kayley Marner
media@pryon.com
Raleigh, N.C. —November 28, 2023—Pryon, an industry leader in secure, AI knowledge management, today announced its selection of Oracle Cloud Infrastructure (OCI) as its preferred cloud provider for research and model training. With OCI’s high-performance infrastructure, Pryon expects to achieve at least 2x greater productivity compared to its incumbent provider.
“Pryon is the trusted pioneer in bringing AI to knowledge management. Our team has developed integral advancements in conversational interaction (CI), computer vision (CV), and natural language processing (NLP) to anticipate and satisfy the evolving needs of our clients,” says Chris Mahl, Pryon President and COO. “We selected OCI to fuel the pace of our research so we can continue to deliver the standard of innovation the industry has come to expect from Pryon. With OCI’s focus on performance efficiency, we can also maintain our commitment to responsible AI development and supporting ESG goals.”
Pryon’s first-of-its-kind knowledge operating system (OS) uses advanced AI including computer vision and large language models (LLMs) to read and understand organizations’ knowledge content to provide answers to customers’ or employees’ most pressing questions with industry-leading accuracy. Pryon’s enterprise-grade approach to AI helps avoid the risks of hallucination and data exposure associated with other generative tools.
Following Pryon’s recent $100 million Series B investment round, the Company’s selection of OCI as its preferred cloud infrastructure provider for research and training enables the team to further intensify its speed of innovation. With OCI's compute power efficiency and foundational security measures, Pryon continues to uphold its responsible AI practices.
“Pryon is developing AI solutions that address real-world challenges and opportunities across a range of industries. We’re excited to see the acceleration of their growth with OCI,” says Greg Pavlik, Senior Vice President, AI and Data Management Services, Oracle Cloud Infrastructure. “OCI’s built in, on by default security, superior price-performance, and high availability will assist the Pryon team as they scale up their research and model training capabilities.”
Pryon selected Oracle Cloud Infrastructure in May 2023.
About Pryon
Pryon turns hours of searching into moments of clarity that confer decision advantage. Founded in 2017 by the minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson, the Company’s full-stack AI-enhanced knowledge management platform transforms untapped digital assets from multiple sources into solutions that measurably improve outcomes. By weaving trusted content into a knowledge fabric, any user can unlock verifiable answers derived from complex, unstructured data. Pryon’s no-code technology can be deployed in a matter of days and is scalable to meet the advanced needs of multinational entities and the most secure federal government agencies. By reducing the distance between knowledge and people, Pryon fosters a more informed, resilient, and responsive organization.
For more information, or to request a demo, visit pryon.ai.
Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.
Contacts
Kayley Marner
media@pryon.com
Why knowledge friction costs enterprises thousands of hours of productivity. Four common approaches to solving the enterprise productivity problem — and why they fall shortHow to unlock the value of AI and solve your productivity problem with a Knowledge AI platform
70% of employees report spending an hour or more searching for a single piece of information.*
Companies are creating more content and data than ever – but most of it isn’t discoverable. This frustrating disconnect between content creators and content consumers is what we call knowledge friction. And it costs enterprises thousands of hours of productivity.
*2024 Survey on Information Discovery, Unisphere Research.
Companies have tried various solutions to generate actionable answers from their existing content, yet the enterprise productivity problem remains. Where web search, legacy enterprise search, homegrown solutions, and AI startups all fall short, Knowledge AI is eliminating knowledge friction once and for all.
Using cutting-edge technology like natural language processing (NLP) and retrieval-augmented generation (RAG), an enterprise Knowledge AI platform swiftly extracts valuable knowledge from existing content, reading it like a human would, and transforming that knowledge into answers for your teams.
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Stop endlessly searching through PubMed to find the right citation, research guidance, or trial data. RAE lets you ask a question, queries millions of information sources, and delivers the right answer in less than a second, pointing you to the source document(s) in case you’d like to gather more context.
Your own research data may contain insights that are even more valuable than the information hidden in MEDLINE and other biomedical literature. That’s why RAE allows researchers to upload their own research, such as clinical trial findings, patient data, and internal unpublished research papers.
RAE delivers trustworthy, verifiable, always up-to-date answers, which are critical in a research setting. RAE’s best-in-class retrieval model uses advanced machine learning, computer vision, and optical character recognition to read complex information — even handwritten documents and diagrams — like a human would. RAE never hallucinates, since it only pulls from trusted research content, and delivers over 90% accuracy out of the box (with further improvements over time).
For many organizations, life sciences research can comprise tens of thousands of voluminous research articles. RAE’s massive storage and compute resources enable it to ingest terabytes of research data — including PDFs, text files, images, video, and more — and transform that data into accurate answers.
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To ensure private research data and queries remain private, RAE runs entirely on-premises, not in a public cloud environment. RAE comes preloaded with Pryon, a Knowledge AI platform. Pryon’s AI models do not train on your data, so your data remains yours and yours alone. The system additionally ensures security against external parties with a self-contained, SOC 2 Type II-compliant architecture. All running securely on-prem on Dell PowerEdge servers.
“We can’t wait to see how pharmaceutical companies, research institutes, and development organizations use the Pryon | Dell Research Answer Engine. With this solution, life science experts can spend less time searching PubMed and internal resources for answers and more time conducting game-changing research.”
— Alex Long, Head of Strategy, Life Sciences at Dell Technologies
RAE helps accelerate the research process by enabling researchers to quickly get answers to their questions directly from trusted sources, such as MEDLINE and private research. Life science researchers no longer need to waste time and energy hunting for valuable information when they could instead be helping develop new treatments.
- Where stalled information access is holding enterprises back
- The leading barriers to delivering business-critical information to end users
- The top AI use cases enterprise leaders are exploring for 2024
- Strategies for implementing AI solutions without exposing your organization to risk
92% of enterprise leaders agree that access to fast, accurate information from unstructured content is vital to their business.
70% of leaders report that employees in their organization spend more than an hour looking for a piece of information, with nearly a quarter (23%) spending more than 5 hours.
The two leading use cases for AI involve helping users better understand and get answers from information spread across the enterprise.
Raleigh, N.C. —November 28, 2023—Pryon, an industry leader in secure, AI knowledge management, today announced its selection of Oracle Cloud Infrastructure (OCI) as its preferred cloud provider for research and model training. With OCI’s high-performance infrastructure, Pryon expects to achieve at least 2x greater productivity compared to its incumbent provider.
“Pryon is the trusted pioneer in bringing AI to knowledge management. Our team has developed integral advancements in conversational interaction (CI), computer vision (CV), and natural language processing (NLP) to anticipate and satisfy the evolving needs of our clients,” says Chris Mahl, Pryon President and COO. “We selected OCI to fuel the pace of our research so we can continue to deliver the standard of innovation the industry has come to expect from Pryon. With OCI’s focus on performance efficiency, we can also maintain our commitment to responsible AI development and supporting ESG goals.”
Pryon’s first-of-its-kind knowledge operating system (OS) uses advanced AI including computer vision and large language models (LLMs) to read and understand organizations’ knowledge content to provide answers to customers’ or employees’ most pressing questions with industry-leading accuracy. Pryon’s enterprise-grade approach to AI helps avoid the risks of hallucination and data exposure associated with other generative tools.
Following Pryon’s recent $100 million Series B investment round, the Company’s selection of OCI as its preferred cloud infrastructure provider for research and training enables the team to further intensify its speed of innovation. With OCI's compute power efficiency and foundational security measures, Pryon continues to uphold its responsible AI practices.
“Pryon is developing AI solutions that address real-world challenges and opportunities across a range of industries. We’re excited to see the acceleration of their growth with OCI,” says Greg Pavlik, Senior Vice President, AI and Data Management Services, Oracle Cloud Infrastructure. “OCI’s built in, on by default security, superior price-performance, and high availability will assist the Pryon team as they scale up their research and model training capabilities.”
Pryon selected Oracle Cloud Infrastructure in May 2023.
About Pryon
Pryon turns hours of searching into moments of clarity that confer decision advantage. Founded in 2017 by the minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson, the Company’s full-stack AI-enhanced knowledge management platform transforms untapped digital assets from multiple sources into solutions that measurably improve outcomes. By weaving trusted content into a knowledge fabric, any user can unlock verifiable answers derived from complex, unstructured data. Pryon’s no-code technology can be deployed in a matter of days and is scalable to meet the advanced needs of multinational entities and the most secure federal government agencies. By reducing the distance between knowledge and people, Pryon fosters a more informed, resilient, and responsive organization.
For more information, or to request a demo, visit pryon.ai.
Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.
Contacts
Kayley Marner
media@pryon.com
Raleigh, N.C. —November 28, 2023—Pryon, an industry leader in secure, AI knowledge management, today announced its selection of Oracle Cloud Infrastructure (OCI) as its preferred cloud provider for research and model training. With OCI’s high-performance infrastructure, Pryon expects to achieve at least 2x greater productivity compared to its incumbent provider.
“Pryon is the trusted pioneer in bringing AI to knowledge management. Our team has developed integral advancements in conversational interaction (CI), computer vision (CV), and natural language processing (NLP) to anticipate and satisfy the evolving needs of our clients,” says Chris Mahl, Pryon President and COO. “We selected OCI to fuel the pace of our research so we can continue to deliver the standard of innovation the industry has come to expect from Pryon. With OCI’s focus on performance efficiency, we can also maintain our commitment to responsible AI development and supporting ESG goals.”
Pryon’s first-of-its-kind knowledge operating system (OS) uses advanced AI including computer vision and large language models (LLMs) to read and understand organizations’ knowledge content to provide answers to customers’ or employees’ most pressing questions with industry-leading accuracy. Pryon’s enterprise-grade approach to AI helps avoid the risks of hallucination and data exposure associated with other generative tools.
Following Pryon’s recent $100 million Series B investment round, the Company’s selection of OCI as its preferred cloud infrastructure provider for research and training enables the team to further intensify its speed of innovation. With OCI's compute power efficiency and foundational security measures, Pryon continues to uphold its responsible AI practices.
“Pryon is developing AI solutions that address real-world challenges and opportunities across a range of industries. We’re excited to see the acceleration of their growth with OCI,” says Greg Pavlik, Senior Vice President, AI and Data Management Services, Oracle Cloud Infrastructure. “OCI’s built in, on by default security, superior price-performance, and high availability will assist the Pryon team as they scale up their research and model training capabilities.”
Pryon selected Oracle Cloud Infrastructure in May 2023.
About Pryon
Pryon turns hours of searching into moments of clarity that confer decision advantage. Founded in 2017 by the minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson, the Company’s full-stack AI-enhanced knowledge management platform transforms untapped digital assets from multiple sources into solutions that measurably improve outcomes. By weaving trusted content into a knowledge fabric, any user can unlock verifiable answers derived from complex, unstructured data. Pryon’s no-code technology can be deployed in a matter of days and is scalable to meet the advanced needs of multinational entities and the most secure federal government agencies. By reducing the distance between knowledge and people, Pryon fosters a more informed, resilient, and responsive organization.
For more information, or to request a demo, visit pryon.ai.
Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.
Contacts
Kayley Marner
media@pryon.com
Read this guide to:
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
Internal content authors work diligently to produce and update content, including policies, procedures, and lessons learned. Yet staff, managers, and senior leaders still lose valuable time wading through pools of siloed information to find answers. As a result, the gap between critical information and those who need it most continues to widen.
Government agencies need to ensure employees, service members, and citizens quickly and easily receive the answers they need to drive productivity and enable decision advantage.
With the right GenAI solutions in place, staff and service members can take on challenges with greater speed and intelligence.
Not every GenAI solution on the market is fit to meet the specific needs of government agencies. Implementing GenAI in a regulated environment requires careful consideration of four critical factors to ensure success:
Many federal agencies are turning to Retrieval-Augmented Generation (RAG) to support their GenAI solutions. RAG is a framework that combines retrieval and generative capabilities to deliver accurate and trustworthy responses.
This approach mitigates common issues with GenAI tools, such as hallucinations and ensures that responses are based on authoritative content with clear source attribution.
