Omniscience Receives Patent for OCR Engine Using Major Advances in Applied Machine Learning

This Omniscience technology uses many learning strata to rapidly extract and digitize hand-written forms and tabular data from virtually any source, regardless of its complexity. It is first being applied to difficult problems in insurance underwriting and, over time, will be made available for business process outsourcing (BPO), financial, national security, and other applications. Because of the speed and accuracy of the results of this advanced technology, complex decisions can be handled with much less risk.

The patent is called “Systems and Methods for Machine Learning based Content Extraction from Document Images.” Manu Shukla, Omniscience co-founder and Chief Technology Officer explained the fundamental breakthrough: There is no limit to how many machine learning strata that can stack for data extraction, but each additional stratum makes coordination much harder; Omniscience has addressed this through algorithmic distribution, which allows vast amounts of data to be processed rapidly and completely.

Examples of problems that can be deciphered by this technology include low-resolution, faxed or copied data in character-based Asian languages like Japanese and Chinese. These challenges appear often in many industries. Currently, this OCR Engine technology is being used in Omniscience Customer Intelligence products which handle material such as hand-written health and personal forms for insurance applications, reports from many different labs and in many languages, insurance treaties, claims, credit card receipts printed on thermal paper, credit card images, IDs, among others.

Explaining how this technology is different from what has been available to date, Shukla said, “More generic extraction tools from companies like Amazon, Google, or others are not able to scale to different types of forms in a template-agnostic way and keep accuracy very high.” This means that most digitization technologies end up with a human in the loop and a high need for data correction along the way. Omniscience focused on the harder problem of digitizing forms and materials without prior-known templates, and without humans in the loop.

“With all of our technology and product development, the goal is to push the limits of both applied and original machine learning and artificial intelligence to speed enterprises to faster, more accurate, and ultimately more useful business -- regardless of the complexity or volume of data and data sources,” said Shukla. “In addition to the technology in the OCR engine patent, we are currently also working on several types of innovations: AI that enables ubiquitous parallelization of deep learning and leads to very fast processing of many layers of complexity and AI for new kinds of simulations of catastrophe modeling including wildfire danger and risk assessment for capital management and other financial markets.”

About Omniscience

Omniscience (www.omniscience.com) is the first company to enable the Computational Insurance™ business. Because of unique breakthrough distributed technology that can process many layers of business and data complexity completely and rapidly, Omniscience customers can approach their businesses in entirely new ways. Instead of this complexity inhibiting good decisions, insurance customers can use the vast amounts of data from inside and outside sources to make good business decisions that continuously improve the entire company while increasing transactional speed. Ultimately, Omniscience Computational Insurance solutions optimize insurance and financial services companies grow market share, save on costs, boost return on equity, and increase regulatory compliance. Over time many additional Computational Enterprise™ markets will benefit from Omniscience to handle the chaos in their environments. Based in Palo Alto, CA, investors in Omniscience include Guardian Life Insurance Company of America, TD Bank, Translink Capital, and others.

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