OpenAI’s ChatGPT has brought conversational interaction and generative AI to the forefront of public discourse. ChatGPT’s open-domain AI is essentially a beta experience creating human-like answers to a wide array of public domain queries. Undoubtedly, the application is a massive step in the public’s awareness of, and interaction with, natural language processing.
The enthusiasm for ChatGPT brings a rising tide for the intersection of AI and knowledge management, but ChatGPT is far from perfect. Headlines herald ChatGPT’s seemingly cohesive responses while also highlighting its oft-misguided, objectively wrong, and sometimes toxic answers. The readily usable and engaging tool has many people fantasizing about practical applications and interactions beyond conversational turns and creative queries.
While OpenAI’s open-domain AI may work for consumer content creation and exploration, it is unsuitable for enterprise use cases. Pryon, on the other hand, was purpose-built for the enterprise.
Founded by the minds behind Amazon’s Alexa and IBM’s Watson, Pryon’s team of AI pioneers recognized a problem impacting enterprises across every industry. We call it Knowledge Friction: the disconnect between critical knowledge and the employees who can’t afford to wait for the right answer, such as customer support agents, engineers, field operations teams, and sales reps.
Pryon creates for the first time a secure Knowledge Fabric from which organizations can immediately unlock answers through natural language queries. Purpose-built for the future of work, the platform was founded on four pillars of responsible enterprise AI:
Pryon answers the call for an enterprise tool to eliminate Knowledge Friction, revolutionizing decision-making and workplace productivity. Our platform’s Deep Confidential LLMs leverage controls to enable precise, verified knowledge retrieval for enterprise use cases. And unlike OpenAI’s generative tool, which is susceptible to hallucination, our closed domain knowledge platform is extractive, deriving content and answers directly from an organization’s canonical, up-to-date, and secure information sources.
Pryon is leveraged and trusted today by Fortune 500 companies and government agencies in critical environments, including defense, energy, and semiconductor development.
ChatGPT is a chatbot for the world’s public information, while Pryon is the secure knowledge retrieval engine for an enterprise’s trusted, proprietary content.
ChatGPT models train on a wide array of data, including books, public websites like Wikipedia, and social media. Verifying its underlying sources is nearly impossible because it generates responses based on its learned understanding of various forms of data. Retraining ChatGPT with industry or company-specific content has minimal effect as the ingested content will represent only a tiny drop in its ocean of existing training content.
Conversely, Pryon’s technology automatically and securely ingests specified content and builds a natural language-queryable Knowledge Fabric within minutes. Pryon’s platform allows designated users to ask questions in natural language and receive a verifiable response from source content within milliseconds.
Pryon’s enterprise-specific approach to AI and information ingestion ensures data confidentiality and information accuracy, which sets it apart from generative tools like ChatGPT.
Pryon focuses on solving critical challenges for enterprises where real-time access to knowledge has a radical impact on decision-making, workplace productivity, risk removal, and revenue generation.
Today, Pryon excels at ingesting unstructured content (from application and document sources) containing canonical, high-value, and widely dispersed knowledge. Our platform provides users seamless access to query this knowledge with >90% accuracy and precision. Grounded in our enterprise-specific approach, Pryon brings enterprises to a state of knowledge flow — empowering a Decision Advantage based on inherently secure, trusted, and verifiable information.
OpenAI’s ChatGPT has brought conversational interaction and generative AI to the forefront of public discourse. ChatGPT’s open-domain AI is essentially a beta experience creating human-like answers to a wide array of public domain queries. Undoubtedly, the application is a massive step in the public’s awareness of, and interaction with, natural language processing.
The enthusiasm for ChatGPT brings a rising tide for the intersection of AI and knowledge management, but ChatGPT is far from perfect. Headlines herald ChatGPT’s seemingly cohesive responses while also highlighting its oft-misguided, objectively wrong, and sometimes toxic answers. The readily usable and engaging tool has many people fantasizing about practical applications and interactions beyond conversational turns and creative queries.
While OpenAI’s open-domain AI may work for consumer content creation and exploration, it is unsuitable for enterprise use cases. Pryon, on the other hand, was purpose-built for the enterprise.
Founded by the minds behind Amazon’s Alexa and IBM’s Watson, Pryon’s team of AI pioneers recognized a problem impacting enterprises across every industry. We call it Knowledge Friction: the disconnect between critical knowledge and the employees who can’t afford to wait for the right answer, such as customer support agents, engineers, field operations teams, and sales reps.
Pryon creates for the first time a secure Knowledge Fabric from which organizations can immediately unlock answers through natural language queries. Purpose-built for the future of work, the platform was founded on four pillars of responsible enterprise AI:
Pryon answers the call for an enterprise tool to eliminate Knowledge Friction, revolutionizing decision-making and workplace productivity. Our platform’s Deep Confidential LLMs leverage controls to enable precise, verified knowledge retrieval for enterprise use cases. And unlike OpenAI’s generative tool, which is susceptible to hallucination, our closed domain knowledge platform is extractive, deriving content and answers directly from an organization’s canonical, up-to-date, and secure information sources.
Pryon is leveraged and trusted today by Fortune 500 companies and government agencies in critical environments, including defense, energy, and semiconductor development.
ChatGPT is a chatbot for the world’s public information, while Pryon is the secure knowledge retrieval engine for an enterprise’s trusted, proprietary content.
ChatGPT models train on a wide array of data, including books, public websites like Wikipedia, and social media. Verifying its underlying sources is nearly impossible because it generates responses based on its learned understanding of various forms of data. Retraining ChatGPT with industry or company-specific content has minimal effect as the ingested content will represent only a tiny drop in its ocean of existing training content.
Conversely, Pryon’s technology automatically and securely ingests specified content and builds a natural language-queryable Knowledge Fabric within minutes. Pryon’s platform allows designated users to ask questions in natural language and receive a verifiable response from source content within milliseconds.
Pryon’s enterprise-specific approach to AI and information ingestion ensures data confidentiality and information accuracy, which sets it apart from generative tools like ChatGPT.
Pryon focuses on solving critical challenges for enterprises where real-time access to knowledge has a radical impact on decision-making, workplace productivity, risk removal, and revenue generation.
Today, Pryon excels at ingesting unstructured content (from application and document sources) containing canonical, high-value, and widely dispersed knowledge. Our platform provides users seamless access to query this knowledge with >90% accuracy and precision. Grounded in our enterprise-specific approach, Pryon brings enterprises to a state of knowledge flow — empowering a Decision Advantage based on inherently secure, trusted, and verifiable information.
OpenAI’s ChatGPT has brought conversational interaction and generative AI to the forefront of public discourse. ChatGPT’s open-domain AI is essentially a beta experience creating human-like answers to a wide array of public domain queries. Undoubtedly, the application is a massive step in the public’s awareness of, and interaction with, natural language processing.
The enthusiasm for ChatGPT brings a rising tide for the intersection of AI and knowledge management, but ChatGPT is far from perfect. Headlines herald ChatGPT’s seemingly cohesive responses while also highlighting its oft-misguided, objectively wrong, and sometimes toxic answers. The readily usable and engaging tool has many people fantasizing about practical applications and interactions beyond conversational turns and creative queries.
While OpenAI’s open-domain AI may work for consumer content creation and exploration, it is unsuitable for enterprise use cases. Pryon, on the other hand, was purpose-built for the enterprise.
Founded by the minds behind Amazon’s Alexa and IBM’s Watson, Pryon’s team of AI pioneers recognized a problem impacting enterprises across every industry. We call it Knowledge Friction: the disconnect between critical knowledge and the employees who can’t afford to wait for the right answer, such as customer support agents, engineers, field operations teams, and sales reps.
Pryon creates for the first time a secure Knowledge Fabric from which organizations can immediately unlock answers through natural language queries. Purpose-built for the future of work, the platform was founded on four pillars of responsible enterprise AI:
Pryon answers the call for an enterprise tool to eliminate Knowledge Friction, revolutionizing decision-making and workplace productivity. Our platform’s Deep Confidential LLMs leverage controls to enable precise, verified knowledge retrieval for enterprise use cases. And unlike OpenAI’s generative tool, which is susceptible to hallucination, our closed domain knowledge platform is extractive, deriving content and answers directly from an organization’s canonical, up-to-date, and secure information sources.
Pryon is leveraged and trusted today by Fortune 500 companies and government agencies in critical environments, including defense, energy, and semiconductor development.
ChatGPT is a chatbot for the world’s public information, while Pryon is the secure knowledge retrieval engine for an enterprise’s trusted, proprietary content.
ChatGPT models train on a wide array of data, including books, public websites like Wikipedia, and social media. Verifying its underlying sources is nearly impossible because it generates responses based on its learned understanding of various forms of data. Retraining ChatGPT with industry or company-specific content has minimal effect as the ingested content will represent only a tiny drop in its ocean of existing training content.
Conversely, Pryon’s technology automatically and securely ingests specified content and builds a natural language-queryable Knowledge Fabric within minutes. Pryon’s platform allows designated users to ask questions in natural language and receive a verifiable response from source content within milliseconds.
Pryon’s enterprise-specific approach to AI and information ingestion ensures data confidentiality and information accuracy, which sets it apart from generative tools like ChatGPT.
Pryon focuses on solving critical challenges for enterprises where real-time access to knowledge has a radical impact on decision-making, workplace productivity, risk removal, and revenue generation.
Today, Pryon excels at ingesting unstructured content (from application and document sources) containing canonical, high-value, and widely dispersed knowledge. Our platform provides users seamless access to query this knowledge with >90% accuracy and precision. Grounded in our enterprise-specific approach, Pryon brings enterprises to a state of knowledge flow — empowering a Decision Advantage based on inherently secure, trusted, and verifiable information.
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.
OpenAI’s ChatGPT has brought conversational interaction and generative AI to the forefront of public discourse. ChatGPT’s open-domain AI is essentially a beta experience creating human-like answers to a wide array of public domain queries. Undoubtedly, the application is a massive step in the public’s awareness of, and interaction with, natural language processing.
The enthusiasm for ChatGPT brings a rising tide for the intersection of AI and knowledge management, but ChatGPT is far from perfect. Headlines herald ChatGPT’s seemingly cohesive responses while also highlighting its oft-misguided, objectively wrong, and sometimes toxic answers. The readily usable and engaging tool has many people fantasizing about practical applications and interactions beyond conversational turns and creative queries.
While OpenAI’s open-domain AI may work for consumer content creation and exploration, it is unsuitable for enterprise use cases. Pryon, on the other hand, was purpose-built for the enterprise.
Founded by the minds behind Amazon’s Alexa and IBM’s Watson, Pryon’s team of AI pioneers recognized a problem impacting enterprises across every industry. We call it Knowledge Friction: the disconnect between critical knowledge and the employees who can’t afford to wait for the right answer, such as customer support agents, engineers, field operations teams, and sales reps.
Pryon creates for the first time a secure Knowledge Fabric from which organizations can immediately unlock answers through natural language queries. Purpose-built for the future of work, the platform was founded on four pillars of responsible enterprise AI:
Pryon answers the call for an enterprise tool to eliminate Knowledge Friction, revolutionizing decision-making and workplace productivity. Our platform’s Deep Confidential LLMs leverage controls to enable precise, verified knowledge retrieval for enterprise use cases. And unlike OpenAI’s generative tool, which is susceptible to hallucination, our closed domain knowledge platform is extractive, deriving content and answers directly from an organization’s canonical, up-to-date, and secure information sources.
Pryon is leveraged and trusted today by Fortune 500 companies and government agencies in critical environments, including defense, energy, and semiconductor development.
ChatGPT is a chatbot for the world’s public information, while Pryon is the secure knowledge retrieval engine for an enterprise’s trusted, proprietary content.
ChatGPT models train on a wide array of data, including books, public websites like Wikipedia, and social media. Verifying its underlying sources is nearly impossible because it generates responses based on its learned understanding of various forms of data. Retraining ChatGPT with industry or company-specific content has minimal effect as the ingested content will represent only a tiny drop in its ocean of existing training content.
Conversely, Pryon’s technology automatically and securely ingests specified content and builds a natural language-queryable Knowledge Fabric within minutes. Pryon’s platform allows designated users to ask questions in natural language and receive a verifiable response from source content within milliseconds.
Pryon’s enterprise-specific approach to AI and information ingestion ensures data confidentiality and information accuracy, which sets it apart from generative tools like ChatGPT.
Pryon focuses on solving critical challenges for enterprises where real-time access to knowledge has a radical impact on decision-making, workplace productivity, risk removal, and revenue generation.
Today, Pryon excels at ingesting unstructured content (from application and document sources) containing canonical, high-value, and widely dispersed knowledge. Our platform provides users seamless access to query this knowledge with >90% accuracy and precision. Grounded in our enterprise-specific approach, Pryon brings enterprises to a state of knowledge flow — empowering a Decision Advantage based on inherently secure, trusted, and verifiable information.
OpenAI’s ChatGPT has brought conversational interaction and generative AI to the forefront of public discourse. ChatGPT’s open-domain AI is essentially a beta experience creating human-like answers to a wide array of public domain queries. Undoubtedly, the application is a massive step in the public’s awareness of, and interaction with, natural language processing.
The enthusiasm for ChatGPT brings a rising tide for the intersection of AI and knowledge management, but ChatGPT is far from perfect. Headlines herald ChatGPT’s seemingly cohesive responses while also highlighting its oft-misguided, objectively wrong, and sometimes toxic answers. The readily usable and engaging tool has many people fantasizing about practical applications and interactions beyond conversational turns and creative queries.
While OpenAI’s open-domain AI may work for consumer content creation and exploration, it is unsuitable for enterprise use cases. Pryon, on the other hand, was purpose-built for the enterprise.
Founded by the minds behind Amazon’s Alexa and IBM’s Watson, Pryon’s team of AI pioneers recognized a problem impacting enterprises across every industry. We call it Knowledge Friction: the disconnect between critical knowledge and the employees who can’t afford to wait for the right answer, such as customer support agents, engineers, field operations teams, and sales reps.
Pryon creates for the first time a secure Knowledge Fabric from which organizations can immediately unlock answers through natural language queries. Purpose-built for the future of work, the platform was founded on four pillars of responsible enterprise AI:
Pryon answers the call for an enterprise tool to eliminate Knowledge Friction, revolutionizing decision-making and workplace productivity. Our platform’s Deep Confidential LLMs leverage controls to enable precise, verified knowledge retrieval for enterprise use cases. And unlike OpenAI’s generative tool, which is susceptible to hallucination, our closed domain knowledge platform is extractive, deriving content and answers directly from an organization’s canonical, up-to-date, and secure information sources.
Pryon is leveraged and trusted today by Fortune 500 companies and government agencies in critical environments, including defense, energy, and semiconductor development.
ChatGPT is a chatbot for the world’s public information, while Pryon is the secure knowledge retrieval engine for an enterprise’s trusted, proprietary content.
ChatGPT models train on a wide array of data, including books, public websites like Wikipedia, and social media. Verifying its underlying sources is nearly impossible because it generates responses based on its learned understanding of various forms of data. Retraining ChatGPT with industry or company-specific content has minimal effect as the ingested content will represent only a tiny drop in its ocean of existing training content.
Conversely, Pryon’s technology automatically and securely ingests specified content and builds a natural language-queryable Knowledge Fabric within minutes. Pryon’s platform allows designated users to ask questions in natural language and receive a verifiable response from source content within milliseconds.
Pryon’s enterprise-specific approach to AI and information ingestion ensures data confidentiality and information accuracy, which sets it apart from generative tools like ChatGPT.
Pryon focuses on solving critical challenges for enterprises where real-time access to knowledge has a radical impact on decision-making, workplace productivity, risk removal, and revenue generation.
Today, Pryon excels at ingesting unstructured content (from application and document sources) containing canonical, high-value, and widely dispersed knowledge. Our platform provides users seamless access to query this knowledge with >90% accuracy and precision. Grounded in our enterprise-specific approach, Pryon brings enterprises to a state of knowledge flow — empowering a Decision Advantage based on inherently secure, trusted, and verifiable information.
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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.
