Intensity Analytics

Information Technology And Services, Po Box 491, Warrenton, Virginia, 20188, United States, 1-10 Employees

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Who is INTENSITY ANALYTICS

Intensity Analytics is composed of veteran entrepreneurs who are expert developers, industry thought-leaders and long-time inventors of critical technology. A theme throughout our history...

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Headquarters: Po Box 491, Warrenton, Virginia, 20188, United States
Date Founded: 2009
Employees: 1-10
Revenue: $5 Million to $10 Million
Active Tech Stack: See technologies

Industry: Information Technology and Services

SIC Code: 7371

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Intensity Analytics Org Chart and Mapping

Employees

John Rome

CEO, Chairman and Chief Scientist

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Tom Ketcham

President

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Frequently Asked Questions Regarding Intensity Analytics

Answer: Intensity Analytics's headquarters are located at Po Box 491, Warrenton, Virginia, 20188, United States

Answer: Intensity Analytics is composed of veteran entrepreneurs who are expert developers, industry thought-leaders and long-time inventors of critical technology. A theme throughout our history has been identity. In the many vertical markets we have served, a recurring requirement has been for software which confirms the identity of computer users to a statistical certainty. In recent times, the need to do this has been further evidenced by worldwide cybersecurity breaches. But the need to ascertain identity is substantially broader than just security. It includes the capability to perform Anonymous Identification affordably, quickly, scalably, without special hardware, and without violating growing (GDPR) privacy norms and to do so in a manner compatible with existing platforms, delivered in both desktop and SaaS versions. There are countless use cases where an applications facility to recognize a specific individual exactly, without that person having to divulge personal information (e.g., iris characteristics, pictures, fingerprints, SSN, Secret Question) offers dual advantages both to the provider and the consumer. Intensity Analytics has created sophisticated software programs which house patented algorithms that accurately measure human effort when people interact with devices like a smartphone or keyboard. Legacy attempts to meaningfully and reliably classify text patterns, or gestures, to achieve the goal of identifying a person have essentially failed. Our approach is radically different. It has been independently validated by the foremost experts in the field PhD professors who do this work for the Federal Government as well as in field-deployed use cases (we could tell you but we'd have to kill you ;). Internally-engineered Machine Learning (ML) and Artificial Intelligence (AI) techniques feed our advanced geospatial, multidimensional mathematics routines to compare previous behavior to current behavior, sufficiently to identify you.