Kelly is an experienced entrepreneur/executive with a proven track record. She is currently the founder of IDLogiq Inc, a blockchain-powered company that provides cryptographic anti-counterfeit solutions to pharmaceuticals, food/pet food, retail, electronics, and positive identity management market. IDLogiq’s goal is to leverage both blockchain as well as traditional database technology to revolutionize business intelligence, global product safety, and advanced cryptographic authentication algorithm. Prior to IDLogiq, Kelly was the CoFounder/CEO of Mission Road Pharmacy, a specialty pharmacy with an annualized revenue of $160M+ and growing at more than 200% annually prior to getting acquired in 2012. Kelly holds 3 pending patents on blockchain-powered cryptographic anti-counterfeit technology and a Doctor degree in Pharmaceuticals from the University of California, San Francisco.
IDLogiq is a provider of information security software and IT Company which features Cryptographic Identity Authenticity technology. Our software is designed with the ease of use for end-users or staff as well as for seamless backend integration with enterprises, to enable a secure supply chain, logistics with its stakeholders within the ecosystem. We provide Smart ID cards, asset management with auditable trails of history, secured/auditable CMMS (computerized maintenance management system). IDLogiq provides authenticity validation for products/parts/identities along with full-forensics, real-time track & trace, real-time rich-media communication, business intelligence, and engagement platform. Our technology addresses and solves complex problems for enterprises, yet the software is extremely easy to use, automates processes to make work more convenient for users. Thus, staff could have more time to effectively design or focus on the soft touch of dealing with people while aiming to increase productivity. Our co-founder and technical team specializes in deep encryption, cybersecurity, information security, and AI/ML (Artificial Intelligence and Machine Learning).