There is an unprecedented growth in synthetic big data such as research articles, Ph.D. theses, patents, test reports and product description reports. Existing search engines are incapable of intelligent processing of information contained in these synthetic big data to identify hidden trends. Similarly, there is exponential growth in the volume of prior art synthetic data that must be analyzed to evaluate a technological concept seeking venture capital funding, to investigate a specific scientific area for new product development, and to confirm that a patent request does not violate or overlap already patented technology. It can be expected that the cost of prior art analysis will escalate because of this, and so many organizations of different type and size will require massive increases in staffing and budget for activities involving prior art analysis.
Multi Scale Solutions Inc. has developed an innovative data mining technology MSS-Sunergo that utilizes advanced data mining algorithms for mapping and connecting intelligent concepts based on synthetic big data.