Raleigh, NC – September 19, 2023 — Pryon, the pioneer in bringing AI to knowledge management, today announced that it closed a $100 million Series B investment led by Thomas Tull’s US Innovative Technology Fund (USIT). The round also included continuing and new participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omnimed Capital, Revolution’s Rise of the Rest Seed Fund, and others. This funding allows Pryon to accelerate its growth, augment its team, expand into international markets, and scale strategic partnerships. The Company’s solutions are trusted by clients in the energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors to provide them with a profound advantage.
Many such organizations experience the disconnect between high value content and their stakeholders, resulting in abandoned, defective, or stalled workflows. Pryon was established to eliminate this knowledge friction and developed by the creative minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson. The Company’s first-of-its-kind knowledge operating system (OS) was achieved by inventing fundamental advances in conversational interaction (CI), computer vision (CV), high performance computing (HPC), natural language processing (NLP), and speech recognition (ASR).
Pryon’s multimodal experiences come with a choice of chatbot or search-style interfaces and empower users to interrogate their institutions’ unstructured data securely via high-accuracy, hyper-contextual, and low-latency queries. Dependent on operational requirements, discoveries can either be extractive to elevate literal passages or summarized via retrieval augmented generation (RAG). In both cases, outputs come with citations and are always anchored to ground truth. To meet these standards, Pryon’s platform trains and deploys models operationalized on explicitly selected content whether proprietary, public, or a blend of both, avoiding the potential hallucinations of foundational large language models (LLMs). This deconstructed and exclusive approach means the Company’s solutions are born self-contained without the risk of sensitive information exposure.
Pryon’s responsible AI initiatives support organizations’ ESG goals, through its compute and thereby energy efficient AI engines that feature rapid vectorization of data. That speed allows an initial deployment to be an order of magnitude less in duration compared to competing approaches, with updates to collections also not necessitating full model recompiles. Time to value is measured in days, not years, given breakthroughs in automation within the product. Pryon is deployed for a variety of use cases, including external-facing customer service and support, internal-facing help desks and industrial maintenance, and engineering and sales enablement for highly technical products.
“My lifelong goal, and Pryon’s mission, is to reduce the distance between knowledge and people, especially for those who make up the backbone of critical infrastructure. Our platform brings organizations to a state of knowledge flow, empowering a decision advantage grounded in confidential, trusted, and verifiable information,” says Igor Jablokov, Pryon Founder and CEO. “This funding round ensures Pryon’s continued leadership in transforming previously static content into actionable intelligence within academic, commercial, government, and nonprofit environments. We are galvanized to usher in this next phase of our evolution and are intensely proud to partner with Thomas Tull and his USIT team, who also recognize the immense value this technology delivers to the world.”
“In order for the U.S. to remain at the forefront of AI across both the private and public sectors, trustworthy computing is a fundamental requirement,” says Thomas Tull, Chairman of USIT. “Pryon’s unique innovations fill a void in America’s critical information systems, delivering augmented and secure intelligence to organizations of all sizes. We believe Pryon’s platform offers clients a competitive advantage and look forward to supporting the company as it scales its business to bring these important solutions to market.”
As part of the Series B round, Carolyne LaSala from Good Growth Capital and Elizabeth Stein from USIT joined Pryon’s Board of Directors. LaSala and Stein serve alongside existing directors Christopher Mahl, Igor Jablokov, and Kirsten Wolberg.
“We are thrilled to welcome Carolyne LaSala of Good Growth Capital and Elizabeth Stein of USIT to our board of directors,” says Chris Mahl, Pryon President and COO. “Carolyne’s tenure at Apple and Liz’s in the National Lab ecosystem complements Pryon’s deep technology, ecosystem development, and user experience foci while building a world-class team at all levels. My previous roles at Oracle and Salesforce defined that ‘shift happens’ in our industry. No firm has ever been better positioned to allow organizations to confidently leverage enterprise AI than Pryon is today.”
Pryon allows clients to immediately unlock insights through natural language prompts via mobile and web. Designed for ease of use, the platform remains anchored in the tenets of accuracy, scalability, security, and speed. From existing systems of record, Pryon’s no-code capabilities ingest multimodal content from across organizations, including audio, image, text, and video files, efficiently transforming them into a knowledge fabric. The Company’s enterprise-grade approach to model building includes optical character recognition (OCR), purpose-built large language models (LLMs), and proprietary connectors to ensure high assurance is maintained, which sets it apart from ungrounded, consumer-first generative tools.
Read Jablokov’s Letter from the CEO to learn more about Pryon’s vision for the future of work.
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.com.
Pryon contact:
Raleigh, NC – September 19, 2023 — Pryon, the pioneer in bringing AI to knowledge management, today announced that it closed a $100 million Series B investment led by Thomas Tull’s US Innovative Technology Fund (USIT). The round also included continuing and new participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omnimed Capital, Revolution’s Rise of the Rest Seed Fund, and others. This funding allows Pryon to accelerate its growth, augment its team, expand into international markets, and scale strategic partnerships. The Company’s solutions are trusted by clients in the energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors to provide them with a profound advantage.
Many such organizations experience the disconnect between high value content and their stakeholders, resulting in abandoned, defective, or stalled workflows. Pryon was established to eliminate this knowledge friction and developed by the creative minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson. The Company’s first-of-its-kind knowledge operating system (OS) was achieved by inventing fundamental advances in conversational interaction (CI), computer vision (CV), high performance computing (HPC), natural language processing (NLP), and speech recognition (ASR).
Pryon’s multimodal experiences come with a choice of chatbot or search-style interfaces and empower users to interrogate their institutions’ unstructured data securely via high-accuracy, hyper-contextual, and low-latency queries. Dependent on operational requirements, discoveries can either be extractive to elevate literal passages or summarized via retrieval augmented generation (RAG). In both cases, outputs come with citations and are always anchored to ground truth. To meet these standards, Pryon’s platform trains and deploys models operationalized on explicitly selected content whether proprietary, public, or a blend of both, avoiding the potential hallucinations of foundational large language models (LLMs). This deconstructed and exclusive approach means the Company’s solutions are born self-contained without the risk of sensitive information exposure.
Pryon’s responsible AI initiatives support organizations’ ESG goals, through its compute and thereby energy efficient AI engines that feature rapid vectorization of data. That speed allows an initial deployment to be an order of magnitude less in duration compared to competing approaches, with updates to collections also not necessitating full model recompiles. Time to value is measured in days, not years, given breakthroughs in automation within the product. Pryon is deployed for a variety of use cases, including external-facing customer service and support, internal-facing help desks and industrial maintenance, and engineering and sales enablement for highly technical products.
“My lifelong goal, and Pryon’s mission, is to reduce the distance between knowledge and people, especially for those who make up the backbone of critical infrastructure. Our platform brings organizations to a state of knowledge flow, empowering a decision advantage grounded in confidential, trusted, and verifiable information,” says Igor Jablokov, Pryon Founder and CEO. “This funding round ensures Pryon’s continued leadership in transforming previously static content into actionable intelligence within academic, commercial, government, and nonprofit environments. We are galvanized to usher in this next phase of our evolution and are intensely proud to partner with Thomas Tull and his USIT team, who also recognize the immense value this technology delivers to the world.”
“In order for the U.S. to remain at the forefront of AI across both the private and public sectors, trustworthy computing is a fundamental requirement,” says Thomas Tull, Chairman of USIT. “Pryon’s unique innovations fill a void in America’s critical information systems, delivering augmented and secure intelligence to organizations of all sizes. We believe Pryon’s platform offers clients a competitive advantage and look forward to supporting the company as it scales its business to bring these important solutions to market.”
As part of the Series B round, Carolyne LaSala from Good Growth Capital and Elizabeth Stein from USIT joined Pryon’s Board of Directors. LaSala and Stein serve alongside existing directors Christopher Mahl, Igor Jablokov, and Kirsten Wolberg.
“We are thrilled to welcome Carolyne LaSala of Good Growth Capital and Elizabeth Stein of USIT to our board of directors,” says Chris Mahl, Pryon President and COO. “Carolyne’s tenure at Apple and Liz’s in the National Lab ecosystem complements Pryon’s deep technology, ecosystem development, and user experience foci while building a world-class team at all levels. My previous roles at Oracle and Salesforce defined that ‘shift happens’ in our industry. No firm has ever been better positioned to allow organizations to confidently leverage enterprise AI than Pryon is today.”
Pryon allows clients to immediately unlock insights through natural language prompts via mobile and web. Designed for ease of use, the platform remains anchored in the tenets of accuracy, scalability, security, and speed. From existing systems of record, Pryon’s no-code capabilities ingest multimodal content from across organizations, including audio, image, text, and video files, efficiently transforming them into a knowledge fabric. The Company’s enterprise-grade approach to model building includes optical character recognition (OCR), purpose-built large language models (LLMs), and proprietary connectors to ensure high assurance is maintained, which sets it apart from ungrounded, consumer-first generative tools.
Read Jablokov’s Letter from the CEO to learn more about Pryon’s vision for the future of work.
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.com.
Pryon contact:
Raleigh, NC – September 19, 2023 — Pryon, the pioneer in bringing AI to knowledge management, today announced that it closed a $100 million Series B investment led by Thomas Tull’s US Innovative Technology Fund (USIT). The round also included continuing and new participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omnimed Capital, Revolution’s Rise of the Rest Seed Fund, and others. This funding allows Pryon to accelerate its growth, augment its team, expand into international markets, and scale strategic partnerships. The Company’s solutions are trusted by clients in the energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors to provide them with a profound advantage.
Many such organizations experience the disconnect between high value content and their stakeholders, resulting in abandoned, defective, or stalled workflows. Pryon was established to eliminate this knowledge friction and developed by the creative minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson. The Company’s first-of-its-kind knowledge operating system (OS) was achieved by inventing fundamental advances in conversational interaction (CI), computer vision (CV), high performance computing (HPC), natural language processing (NLP), and speech recognition (ASR).
Pryon’s multimodal experiences come with a choice of chatbot or search-style interfaces and empower users to interrogate their institutions’ unstructured data securely via high-accuracy, hyper-contextual, and low-latency queries. Dependent on operational requirements, discoveries can either be extractive to elevate literal passages or summarized via retrieval augmented generation (RAG). In both cases, outputs come with citations and are always anchored to ground truth. To meet these standards, Pryon’s platform trains and deploys models operationalized on explicitly selected content whether proprietary, public, or a blend of both, avoiding the potential hallucinations of foundational large language models (LLMs). This deconstructed and exclusive approach means the Company’s solutions are born self-contained without the risk of sensitive information exposure.
Pryon’s responsible AI initiatives support organizations’ ESG goals, through its compute and thereby energy efficient AI engines that feature rapid vectorization of data. That speed allows an initial deployment to be an order of magnitude less in duration compared to competing approaches, with updates to collections also not necessitating full model recompiles. Time to value is measured in days, not years, given breakthroughs in automation within the product. Pryon is deployed for a variety of use cases, including external-facing customer service and support, internal-facing help desks and industrial maintenance, and engineering and sales enablement for highly technical products.
“My lifelong goal, and Pryon’s mission, is to reduce the distance between knowledge and people, especially for those who make up the backbone of critical infrastructure. Our platform brings organizations to a state of knowledge flow, empowering a decision advantage grounded in confidential, trusted, and verifiable information,” says Igor Jablokov, Pryon Founder and CEO. “This funding round ensures Pryon’s continued leadership in transforming previously static content into actionable intelligence within academic, commercial, government, and nonprofit environments. We are galvanized to usher in this next phase of our evolution and are intensely proud to partner with Thomas Tull and his USIT team, who also recognize the immense value this technology delivers to the world.”
“In order for the U.S. to remain at the forefront of AI across both the private and public sectors, trustworthy computing is a fundamental requirement,” says Thomas Tull, Chairman of USIT. “Pryon’s unique innovations fill a void in America’s critical information systems, delivering augmented and secure intelligence to organizations of all sizes. We believe Pryon’s platform offers clients a competitive advantage and look forward to supporting the company as it scales its business to bring these important solutions to market.”
As part of the Series B round, Carolyne LaSala from Good Growth Capital and Elizabeth Stein from USIT joined Pryon’s Board of Directors. LaSala and Stein serve alongside existing directors Christopher Mahl, Igor Jablokov, and Kirsten Wolberg.
“We are thrilled to welcome Carolyne LaSala of Good Growth Capital and Elizabeth Stein of USIT to our board of directors,” says Chris Mahl, Pryon President and COO. “Carolyne’s tenure at Apple and Liz’s in the National Lab ecosystem complements Pryon’s deep technology, ecosystem development, and user experience foci while building a world-class team at all levels. My previous roles at Oracle and Salesforce defined that ‘shift happens’ in our industry. No firm has ever been better positioned to allow organizations to confidently leverage enterprise AI than Pryon is today.”
Pryon allows clients to immediately unlock insights through natural language prompts via mobile and web. Designed for ease of use, the platform remains anchored in the tenets of accuracy, scalability, security, and speed. From existing systems of record, Pryon’s no-code capabilities ingest multimodal content from across organizations, including audio, image, text, and video files, efficiently transforming them into a knowledge fabric. The Company’s enterprise-grade approach to model building includes optical character recognition (OCR), purpose-built large language models (LLMs), and proprietary connectors to ensure high assurance is maintained, which sets it apart from ungrounded, consumer-first generative tools.
Read Jablokov’s Letter from the CEO to learn more about Pryon’s vision for the future of work.
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.com.
Pryon contact:
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, NC – September 19, 2023 — Pryon, the pioneer in bringing AI to knowledge management, today announced that it closed a $100 million Series B investment led by Thomas Tull’s US Innovative Technology Fund (USIT). The round also included continuing and new participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omnimed Capital, Revolution’s Rise of the Rest Seed Fund, and others. This funding allows Pryon to accelerate its growth, augment its team, expand into international markets, and scale strategic partnerships. The Company’s solutions are trusted by clients in the energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors to provide them with a profound advantage.
Many such organizations experience the disconnect between high value content and their stakeholders, resulting in abandoned, defective, or stalled workflows. Pryon was established to eliminate this knowledge friction and developed by the creative minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson. The Company’s first-of-its-kind knowledge operating system (OS) was achieved by inventing fundamental advances in conversational interaction (CI), computer vision (CV), high performance computing (HPC), natural language processing (NLP), and speech recognition (ASR).
Pryon’s multimodal experiences come with a choice of chatbot or search-style interfaces and empower users to interrogate their institutions’ unstructured data securely via high-accuracy, hyper-contextual, and low-latency queries. Dependent on operational requirements, discoveries can either be extractive to elevate literal passages or summarized via retrieval augmented generation (RAG). In both cases, outputs come with citations and are always anchored to ground truth. To meet these standards, Pryon’s platform trains and deploys models operationalized on explicitly selected content whether proprietary, public, or a blend of both, avoiding the potential hallucinations of foundational large language models (LLMs). This deconstructed and exclusive approach means the Company’s solutions are born self-contained without the risk of sensitive information exposure.
Pryon’s responsible AI initiatives support organizations’ ESG goals, through its compute and thereby energy efficient AI engines that feature rapid vectorization of data. That speed allows an initial deployment to be an order of magnitude less in duration compared to competing approaches, with updates to collections also not necessitating full model recompiles. Time to value is measured in days, not years, given breakthroughs in automation within the product. Pryon is deployed for a variety of use cases, including external-facing customer service and support, internal-facing help desks and industrial maintenance, and engineering and sales enablement for highly technical products.
“My lifelong goal, and Pryon’s mission, is to reduce the distance between knowledge and people, especially for those who make up the backbone of critical infrastructure. Our platform brings organizations to a state of knowledge flow, empowering a decision advantage grounded in confidential, trusted, and verifiable information,” says Igor Jablokov, Pryon Founder and CEO. “This funding round ensures Pryon’s continued leadership in transforming previously static content into actionable intelligence within academic, commercial, government, and nonprofit environments. We are galvanized to usher in this next phase of our evolution and are intensely proud to partner with Thomas Tull and his USIT team, who also recognize the immense value this technology delivers to the world.”
“In order for the U.S. to remain at the forefront of AI across both the private and public sectors, trustworthy computing is a fundamental requirement,” says Thomas Tull, Chairman of USIT. “Pryon’s unique innovations fill a void in America’s critical information systems, delivering augmented and secure intelligence to organizations of all sizes. We believe Pryon’s platform offers clients a competitive advantage and look forward to supporting the company as it scales its business to bring these important solutions to market.”
As part of the Series B round, Carolyne LaSala from Good Growth Capital and Elizabeth Stein from USIT joined Pryon’s Board of Directors. LaSala and Stein serve alongside existing directors Christopher Mahl, Igor Jablokov, and Kirsten Wolberg.
“We are thrilled to welcome Carolyne LaSala of Good Growth Capital and Elizabeth Stein of USIT to our board of directors,” says Chris Mahl, Pryon President and COO. “Carolyne’s tenure at Apple and Liz’s in the National Lab ecosystem complements Pryon’s deep technology, ecosystem development, and user experience foci while building a world-class team at all levels. My previous roles at Oracle and Salesforce defined that ‘shift happens’ in our industry. No firm has ever been better positioned to allow organizations to confidently leverage enterprise AI than Pryon is today.”
Pryon allows clients to immediately unlock insights through natural language prompts via mobile and web. Designed for ease of use, the platform remains anchored in the tenets of accuracy, scalability, security, and speed. From existing systems of record, Pryon’s no-code capabilities ingest multimodal content from across organizations, including audio, image, text, and video files, efficiently transforming them into a knowledge fabric. The Company’s enterprise-grade approach to model building includes optical character recognition (OCR), purpose-built large language models (LLMs), and proprietary connectors to ensure high assurance is maintained, which sets it apart from ungrounded, consumer-first generative tools.
Read Jablokov’s Letter from the CEO to learn more about Pryon’s vision for the future of work.
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.com.
Pryon contact:
Raleigh, NC – September 19, 2023 — Pryon, the pioneer in bringing AI to knowledge management, today announced that it closed a $100 million Series B investment led by Thomas Tull’s US Innovative Technology Fund (USIT). The round also included continuing and new participation from Aperture Venture Capital, BootstrapLabs, Breyer Capital, Duke Capital Partners, Good Growth Capital, Omnimed Capital, Revolution’s Rise of the Rest Seed Fund, and others. This funding allows Pryon to accelerate its growth, augment its team, expand into international markets, and scale strategic partnerships. The Company’s solutions are trusted by clients in the energy, financials, government, healthcare, industrials, materials, technology, and utilities sectors to provide them with a profound advantage.
Many such organizations experience the disconnect between high value content and their stakeholders, resulting in abandoned, defective, or stalled workflows. Pryon was established to eliminate this knowledge friction and developed by the creative minds behind Amazon’s Alexa, Apple’s Siri, and IBM’s Watson. The Company’s first-of-its-kind knowledge operating system (OS) was achieved by inventing fundamental advances in conversational interaction (CI), computer vision (CV), high performance computing (HPC), natural language processing (NLP), and speech recognition (ASR).
Pryon’s multimodal experiences come with a choice of chatbot or search-style interfaces and empower users to interrogate their institutions’ unstructured data securely via high-accuracy, hyper-contextual, and low-latency queries. Dependent on operational requirements, discoveries can either be extractive to elevate literal passages or summarized via retrieval augmented generation (RAG). In both cases, outputs come with citations and are always anchored to ground truth. To meet these standards, Pryon’s platform trains and deploys models operationalized on explicitly selected content whether proprietary, public, or a blend of both, avoiding the potential hallucinations of foundational large language models (LLMs). This deconstructed and exclusive approach means the Company’s solutions are born self-contained without the risk of sensitive information exposure.
Pryon’s responsible AI initiatives support organizations’ ESG goals, through its compute and thereby energy efficient AI engines that feature rapid vectorization of data. That speed allows an initial deployment to be an order of magnitude less in duration compared to competing approaches, with updates to collections also not necessitating full model recompiles. Time to value is measured in days, not years, given breakthroughs in automation within the product. Pryon is deployed for a variety of use cases, including external-facing customer service and support, internal-facing help desks and industrial maintenance, and engineering and sales enablement for highly technical products.
“My lifelong goal, and Pryon’s mission, is to reduce the distance between knowledge and people, especially for those who make up the backbone of critical infrastructure. Our platform brings organizations to a state of knowledge flow, empowering a decision advantage grounded in confidential, trusted, and verifiable information,” says Igor Jablokov, Pryon Founder and CEO. “This funding round ensures Pryon’s continued leadership in transforming previously static content into actionable intelligence within academic, commercial, government, and nonprofit environments. We are galvanized to usher in this next phase of our evolution and are intensely proud to partner with Thomas Tull and his USIT team, who also recognize the immense value this technology delivers to the world.”
“In order for the U.S. to remain at the forefront of AI across both the private and public sectors, trustworthy computing is a fundamental requirement,” says Thomas Tull, Chairman of USIT. “Pryon’s unique innovations fill a void in America’s critical information systems, delivering augmented and secure intelligence to organizations of all sizes. We believe Pryon’s platform offers clients a competitive advantage and look forward to supporting the company as it scales its business to bring these important solutions to market.”
As part of the Series B round, Carolyne LaSala from Good Growth Capital and Elizabeth Stein from USIT joined Pryon’s Board of Directors. LaSala and Stein serve alongside existing directors Christopher Mahl, Igor Jablokov, and Kirsten Wolberg.
“We are thrilled to welcome Carolyne LaSala of Good Growth Capital and Elizabeth Stein of USIT to our board of directors,” says Chris Mahl, Pryon President and COO. “Carolyne’s tenure at Apple and Liz’s in the National Lab ecosystem complements Pryon’s deep technology, ecosystem development, and user experience foci while building a world-class team at all levels. My previous roles at Oracle and Salesforce defined that ‘shift happens’ in our industry. No firm has ever been better positioned to allow organizations to confidently leverage enterprise AI than Pryon is today.”
Pryon allows clients to immediately unlock insights through natural language prompts via mobile and web. Designed for ease of use, the platform remains anchored in the tenets of accuracy, scalability, security, and speed. From existing systems of record, Pryon’s no-code capabilities ingest multimodal content from across organizations, including audio, image, text, and video files, efficiently transforming them into a knowledge fabric. The Company’s enterprise-grade approach to model building includes optical character recognition (OCR), purpose-built large language models (LLMs), and proprietary connectors to ensure high assurance is maintained, which sets it apart from ungrounded, consumer-first generative tools.
Read Jablokov’s Letter from the CEO to learn more about Pryon’s vision for the future of work.
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.com.
Pryon contact:
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.
