Digital Reasoning develops technologies that solve the problem of information overload by providing the tools people need to read, understand, and make use of vast amounts of data.

We build data analytic solutions based on our distinctive patented mathematical approach to natural language processing. The value of Digital Reasoning is not only the ability to leverage the existing knowledge base, but also reveal critical hidden information in existing data that may not have been apparent during normal human or automated analytic efforts.

Digital Reasoning is guided by the vision to find and leverage meaning in the information age. Our products are presently being used in connection with the largest deployed defense intelligence system in support of intelligence analysts in the Federal Government.

80-90 % of all data is unstructured. It is text. Within that text lies answers.

Digital Reasoning has the patented technology that deeply, conceptually searches within unstructured data, analyzes it and presents dynamic visual results with minimal human intervention. Unlike other competing applications that require the use of preconceived phrases and terms to build models, Digital Reasoning technology actually builds the model from the data. It searches without preconception within the data for known and unknown information letting the customer determine what is valuable. That attribute gives the customer the assurance that nothing is missed or neglected due to human error. It offers comprehensive analytics for a more rigorous return on investment. It allows customization of reports ready to share with a network of colleagues. It is agile and highly scalable. It is well positioned to meet the competitive demands of today’s marketplace and become the major driver of unstructured data analysis.

Why is it now so important for organizations to progress beyond mere search technologies to more sophisticated unstructured data analysis? What is hidden in corporate data can seriously harm or give competitive advantage to an organization. As Nelson Mattos, esteemed IBM engineer and vice president for strategy stated, by providing the ability to understand semantic meanings as well as queries, it can significantly improve search results, which is one of the biggest pain points in the enterprise. Employees spend a third of their time looking for documents they need to get their job done.

The second biggest pain point is that 85% of the corporate data that exists in every company’s computers is unstructured. You can use this technology to understand what those documents are telling you. Call centers, documents, PowerPoint presentations, articles, scans of documents…enterprises do not have the technology to allow them to gain insight into this 85% of data. This is a huge competitive advantage for a company.

Today there are many markets that are in need of sophisticated, intuitive, innovative unstructured data analysis applications that bring actual and quantifiable results to the customer.

Unstructured Data Analytics

Unstructured Data Analytics, or UDA, refers to the modeling and understanding of information content within binary (as opposed to fielded) data objects.

The most common unstructured data consists of text such as can be found in emails, text messages and documents. Today, the majority of solutions for the UDA market go no further than organizing and cataloging a set of documents and may possibly have the ability to mine the text for keywords. This is a sub-optimal solution that misses out on the meaning within the document. In fact, the major area of pain is “How do I understand, with a high degree of confidence, what useful information is in the documents”. The ability to peer into and extract the essence of the meaning is either lacking or very difficult to utilize, requiring great expertise, time and money to build a model from the data. This is where Digital Reasoning distinguishes itself from the pack – by providing this capability automatically from the data itself.

Digital Reasoning’s Unique Value Proposition

Digital Reasoning has a unique, patented technology that solves two difficult problems. First, it allows the user to peer into documents to extract the meaning for correlation. More importantly, this technology builds its own model from the data itself. There is no more need for a time-consuming or expensive process to construct a model of the data. As a result, this becomes easy to use and also learns and gets smarter the more it is used. Additionally, Digital Reasoning has created a Software Development Kit (SDK) that allows suppliers of unstructured data systems to plug this technology into their existing systems, thus quickly providing complex data analytics to their customers.

In summary, the three points of value for Digital Reasoning are:

• The ability to peer into documents to extract the hidden meaning within the documents
• The capability to create a model rapidly from the data
• A developed SDK that allows existing large suppliers to easily incorporate this game-changing technology into their existing portfolio