We have developed a series of AI tools that detect deception (lying) at varying rates of accuracy. Our text model (emails, transcripts etc) detects deception at an accuracy rate of 80%. Our Audio model (voice recordings) detects deception at a rate of 84.6%, and our video model (recorded video) detects deception at a rate of 92.3%. All these accuracy rates were determined using a holdout validation set.
Our company was founded by two experts in the field of deception detection. Dr. Matthew Kane, a former Military Intelligence Officer, where he was training in spotting lies and who holds a Ph.D. in psychology where he studied how people lie, as well as Dr. Steven Hyde who holds a Ph.D. in business where he studied how CEO's lie in analyst calls using AI.
We are looking to raise 2M USD at a 10M USD evaluation. Funds will be utilized primarily in the following ways. A detailed breakdown of fund use is available upon request.
•Salaries
A.I. programmers x 4
Full stack developer
App developer
Marketing professioanl
Research assistants x 2
Sales x 2
• Other activieites
Redo the website
App development
Further A.I. development
Further data gathering
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