Enterprise AI Closing The Innovation Gap


As highlighted in several posts over the last few weeks, management systems are becoming more sophisticated with the help of AI and the startups supplying businesses with that technological advantage. This is particularly the case when we’re talking about enterprise knowledge management.

A particular niche of this, AI-based intelligent document processing (IDP), is having wonderful results with augmenting unstructured data from many different sources. These can include document archives and application knowledge bases, as well as other sources.

An expert at this is Pryon, a Raleigh, North Carolina-based startup founded by Igor Jablokov in 2017.


The wizardry of the technology is Pryon’s proprietary computer vision and natural language engines. This, in effect, can enrich the content to boost accuracy from raw, unstructured data that doesn’t count on the compiling of taxonomies, ontologies or other classification schemas. Doing the work that can take teams of data scientists months of hard spent labour, Pryon’s AI Engine performs all these steps automatically and effortlessly by utilizing

• Natural Language Processing & Understanding

• Automatic Tuning Through Unsupervised Learning & No Code Tuning

• Automatic Model Generation

• Automatic Ingestion of All Common Business Documents And Web Pages

By applying the platform to common pain points, enterprises can accommodate “Deep Searches” with advanced NLP, “Question/Answer” challenges that make it easy for the said company’s information to be organized in one place and accessible through direct questioning without the requirement of any inhouse software to be designed and, finally, a “Virtual Assistant” solution that creates a “reading, talking virtual assistant that is happy to help and always available”.

Successful use cases for the platform include HR, cybersecurity and hazardous waste applications.

Igor Jablokov is the CEO and Founder of Pryon. Named an “Industry Luminary” by Speech Technology Magazine, he previously founded industry pioneer Yap, the world’s first high-accuracy, fully automated cloud platform for voice recognition. After its products were deployed by dozens of enterprises, the company became Amazon’s first AI-related acquisition. The firm’s inventions then served as the nucleus for follow-on products such as Alexa, Echo, and Fire TV. As a Program Director at IBM, Jablokov led the team that designed the precursor to Watson and developed the world’s first multimodal Web browser.

Jablokov was awarded Eisenhower and Truman National Security fellowships to explore and expand the role of entrepreneurship and venture capital in addressing geopolitical concerns. As an innovator in human language technologies, he believes in fostering career and educational opportunities for others entering STEM fields. As such, he serves as a mentor in the TechStars’ Alexa Accelerator, was a Blackstone NC Entrepreneur-In-Residence (EIR), and founded a chapter of the Global Shapers, a program of the World Economic Forum.

Jablokov holds a B.S. in Computer Engineering from Pennsylvania State University, where he was named an Outstanding Engineering Alumnus, and an MBA from The University of North Carolina.

During a TechWire Q&A session this October, Jablokov was asked whether people should be worried about AI in the workplace, and if this is just the beginning of workers losing their jobs to AI and machines. His response was an interesting one:

“My hypothesis is that when we look at AI coming into the workplace, I don’t think people are going to lose their jobs. It’s more an augmentation. The folks that are going to be disrupted are the ones who won’t know how to use AI in their workflows. That puts the responsibility on me as a supplier to make it so approachable, easy to use, and relevant. I want it to be used by a safety supervisor at Georgia-Pacific; a nurse in an ICU; a student in a university context. Those are the tools that are more likely to be absorbed and become large-scale fixtures.”

With $36.5 million raised in funding over three rounds — the latest, a $12-million Series B round in November of this year — Pryon’s AI-augmented intelligence platform for enterprise has the money and room to develop even further.

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