At MaiVERIC we have a single mission, to contribute to the spread of safety and peace in the communities we serve.
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SAN FRANCISCO (PRWEB)
June 17, 2020
Today, MaiVERIC announced the general release of its EyeWitness application for public safety agencies. EyeWitness is a state-of-the-art SaaS application, developed by Silicon Valley veterans and a retired sheriff computer crimes investigator, that allows law enforcement agencies to solve more cases through the responsible and lawful use of artificial intelligence.
MaiVERIC was founded on the belief that advanced technology can enhance the capabilities of public safety agencies without compromising people’s constitutional rights. Its EyeWitness application clearly differentiates itself from competing offers by restricting the use of face recognition algorithms to field suspect photos obtained by investigators at crime scenes under probable cause, and by only comparing those photos against the booking records of the agencies that use the service. MaiVERIC’s EyeWitness is in compliance with California’s Assembly Bill No. 1215 (https://bit.ly/3frPmNy) and meets the requirements of the New York Police Department, as stated in its Procedure No: 212-129 (https://on.nyc.gov/2UMZZCP)
MaiVERIC successfully completed a pilot in Orange County, CA, on March 31st, and used the feedback from over 40 active analysts and investigators to optimize the application according to their needs. “Nine agencies utilized a pilot of MaiVERIC’s EyeWitness facial recognition application with great success,” stated Mike James, Executive Director of the Integrated Law and Justice Agency of Orange County, and added that “during the pilot, 179 identifications were made by our crime analysts, equivalent to a 30% case success rate. EyeWitness is very easy for users to learn and can save the departments thousands of dollars in staff hours. EyeWitness is legally compliant with California law and purpose built for law enforcement.”
The effectiveness of EyeWitness as a lead generator for law enforcement is based on a statistic known as recidivism. Recidivism is broadly defined as the act of a person repeating an undesirable behavior after they have experienced negative consequences of that behavior. In law enforcement the term is used to refer to the percentage of former prisoners who are rearrested for a similar offense. According to the Bureau of Justice Statistics, approximately 80% of people convicted of a violent crime were arrested again within 9 years from their release (https://bit.ly/3e4QRBh).
“At MaiVERIC we have a single mission, to contribute to the spread of safety and peace in the communities we serve” stated Manuel Monroy, MaiVERIC’s co-founder who was born and raised in Mexico City and has seen the effects of insecurity on people’s wellbeing. “The MaiVERIC team is in full support of everyone’s right to speak up and demand justice”, added Tom Avery, MaiVERIC’s co-founder and retired sheriff computer crimes investigator, and further stated that “MaiVERIC’s position is that of working proactively with law enforcement to design responsible solutions that work and now, more than ever, law enforcement needs a capable and compliant solution.”
The deployment of MaiVERIC’s EyeWitness within a single public safety agency can expedite investigations and improve the agency’s clearance rates. Its deployment across several agencies allows for the secure sharing of known-offender datasets, significantly increasing the effectiveness of analysts and investigators across all of the participating agencies.
MaiVERIC is a technology company based in San Francisco that leverages artificial intelligence, responsibly, for a safer world. The Company was founded on the belief that advanced technology can enhance the capabilities of public safety agencies without compromising people’s constitutional rights. Our team is excited to make a difference and humbled by the opportunity to assist agencies in their mission to serve and to protect. For additional information send an email to email@example.com
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Published at Wed, 17 Jun 2020 00:00:00 +0000