The Silicon Review
Imagine a world where anyone could instantly and easily share their precise location with any person or service and also instantly receive accurate, timely, and complete information and services for that precise location. For decades, SmartPoint’s founders have been at the leading edge of mobile, local search, mapping and AI technology development to help everyone make this vision a reality. SmartPoint’s goal is to add convenience, safety, security, and privacy, while helping save everyone time, money, and emissions to also help the planet.
Consider this; before we even had telescopes, Eratosthenes put forward a system of latitude and longitude in 3rd century BCE. Since then, we have based all our geolocation technology on this antiquated system. Today’s micro-location infrastructure still works from this antiquated top down approach. SmartPoint’s bottom up and decentralized information, services and communications platform is radically different and much more effective for today’s critical needs. It provides significant advantages for real estate owners, operators and occupants and all devices, services, and users wanting more accurate, timely, and compelling hyperlocal information and services. SmartPoint’s multi-patented technologies will power the precision and real-time information needs of IoT, drone and robotic deliveries, autonomous vehicles, emergency services, etc.
SmartPoint’s 1M™ locators enable room level or even more precise 2D and 3D location references that can be used with all devices and voice-enabled applications like Siri, Alexa, or Google Assistant.
Without SmartPoint, try telling your delivery service EXACTLY where you want your dinner delivered at your home, at the beach, in an office or anywhere else. Latitude longitude has never worked for humans and it never will. You can drop a pin, but try doing that with Siri or sharing locations with several people across multiple services. Other companies have attempted more human-friendly location references, with long three-word phrases like “elephant.pickles.mountain” or codes “3A83Bz+8E7R23,” but they aren’t any better, and they don’t leverage AI to enable extremely brief, human-friendly, short, simple, and precise locators.
SmartPoint is disrupting traditional mapping through its innovative SmartPoint real-time, micro-location platform. Through the power of data and artificial intelligence (AI), SmartPoint enables extreme pinpoint precision with shortened voice-friendly SmartPoint locators like 51-42 or 543-197. SmartPoint also provides a total solution for all types of real estate (residential, commercial, office, retail) property management and all types of services, including deliveries, rideshare, property management, healthcare logistics, retail, and even public safety and emergency services.
For the first time, real-estate owners of all types will be able to “own and control” their micro-location information, benefiting everyone in the value chain.
SmartPoint’s simplicity and precision, provides the pinpoint accuracy drones and robotic deliveries will need in the near future.
SmartPoint recently partnered with the Irvine Company and Lyft to install ridestop locations and signs at two major mixed-use real estate developments in Santa Clara. Armed with this technology, drivers and riders now know the exact preset pickup and drop-off locations within these very large office building complexes. SmartPoint also provides drivers and passengers the quickest, most efficient route. SmartPoint estimates that its platform would save Uber and Lyft $10’s of millions annually from reduced driver time and mileage charges while also reducing carbon emissions by 250 million pounds a year. Similar labor, mileage, and other costs savings will be provided for delivery, transit, and many other services.
For the Pandemic and Beyond
The Covid-19 pandemic has shined a spotlight on the critical need for SmartPoint’s real-time location information, services, and communications platform. It gives building owners and businesses an easy, fast, and low-cost way to provide everyone more timely and accurate location information services, and communications.
Looking ahead, SmartPoint sees rapid adoption of its real-time, micro-location technology across virtually all location industries. From pest control to asset management and emergency services, the need for this last-mile to last meter solution technology is abundant. SmartPoint has grander objectives to accomplish through partnerships with other key organizations to help power a new interoperable, SmartAddress® micro-location registry and clearinghouse. The prospect of disrupting our ancient latitude-longitude system with SmartPoint’s new and radically better system holds great promise as a solution that could become a foundational building block for new and future generations of real-time micro-location information, services, and communications.
The Leaders Upfront
Lee Hancock, CEO
Lee is a technology entrepreneur and an inventor with over 30 patents covering mobile, local search, AI-enabled micro-location technologies, and permission-based privacy. He was the founder of go2, which launched the world’s first and dominant mobile, local directory, search and information service for the first several years of the mobile web. go2 delivered billions of page views of mobile, local search results, information and directions to over two million monthly unique users. go2 also powered MSN Mobile’s local search solutions licensed to wireless carriers, and Lee also established key strategic tech alliances with leading technology companies like Amdocs, Verisign, and MasterCard.
Lee is also a Co-founder of inBuilding Systems Corp., an attorney and CPA, a member of YPO, and a member of Ernst and Young’s Entrepreneur Of The Year Hall of Fame.
Neil Sahota, CTO and Head AI Guru
Neil is a co-inventor of IBM’s Watson AI technology and has worked extensively on the Jeopardy Challenge. His work experience spans multiple industries, including legal services, healthcare, life sciences, retail, travel and transportation, energy and utilities, automotive, telecommunications, media/communication, and government. Neil has taught part-time for the past eight years at UC Irvine, UC San Diego, UCLA, Oregon State University, international programs, corporate education, and K-12. He has also authored two books on AI.