Indoor Wayfinding & Navigation
Reckon Point is the industry leader in indoor navigation, positioning and scanning technologies. Our end-to-end platform saves you time navigating complex spaces and maximizes efficiency through asset tracking.
From The Blog
Updates From Reckon Point's Founder & CEO, Gabe Garza
Airport Wayfinding in San Antonio
When we heard the San Antonio Airport was setting up a challenge to develop a better passenger experience, we jumped on it. The airport’s goal is to use indoor navigation & airport wayfinding to integrate many of the individual services already in…
Indoor Geo-location Emitter Technologies
Indoor geo-location or indoor positioning is still a relatively new technology that has yet to go mainstream. This technology aims to provide GPS like service within indoor venues where GPS signals are not available and allows for consumers to…
Reckon Point in the News
See what they've been saying!
Kinetech and Reckon Point — will embed in San Antonio city departments to solve problems with CivTechSA. The city partnered with Geekdom and released seven challenges in January from departments ranging from the airport to… Read More
Last night’s event was AMAZING! Thank you to everyone who showed up for the 2018 CivTechSA Residency Program winners, Kinetech Cloud and Reckon Point. The City of San Antonio came out in full force to support… Read More
Two homegrown startups – one uses robots to create indoor maps – will take up residency at the City of San Antonio for 16 weeks. The City selected Reckon Point and Kinetech Cloud on Thursday to create solutions for civic… Read More
The City of San Antonio’s Office of Innovation and Geekdom announced today. San Antonio-based startups Reckon Point and Kinetech Cloud were selected to join CivTechSA’s residency program. “This was a very competitive process and… Read More
Industry leader in automated data collection using LiDAR, geomagnetics, Wi-Fi and SLAM algorithms
Reckon Point provides interactive Google maps, allowing for seamless indoor navigation.
Real-time position estimation through robotics, data collection & machine learning algorithms.
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