AI Magazine April 2022 | Page 181

SPARK COMPASS
“ We ' re the aggregator , we ' re that third party , as middleware . So we can leverage the input and information from two parties that would not work directly ,” said Bjontegard .
An example of this was an indoor navigation solution launched with Apple that combined with an enterprise-level wearable watch from Samsung . This helped IT staff members to be more responsive by reducing calls and emails , while the closest staff member could be identified by their watch , as it related to the Apple indoor navigation .
Spark Compass provides a singlepane dashboard , combining multiple separate vertical technology solutions into one single control dashboard . Their clients don ' t care about the individual components , according to Bjontegard , as they simply want a common dashboard where the data is seamlessly integrated into a complete picture of the facilities . The company ’ s patented contextual understanding and contextual awareness , combined with knowledge , is infused into a platform that therefore is able to deliver the right message , to the right person , at the right time and in the right place – on the right device .
Invention as standard with each new customer One of the distinguishing features of Spark Compass is that every time they do something with a new customer in a new vertical , it is an innovation . A passionate Bjontegard stated : “ We build something that hasn ' t been done before , such as using a smart speaker with AWS to engage and understand a senior citizens ’ condition when they wake up in the morning , through to understanding dispatch problems for the care providers and care homeworker in North Somerset attending to the seniors .

“ WE CAN INTEGRATE WITH ANY PARTNER ”

ERIK BJONTEGARD FOUNDER AND PRESIDENT , SPARK COMPASS
When the speakers weren ’ t present anymore , the residents really missed them , which means we must be doing something right .”
Bjontegard continued : “ We can integrate with any partner . We can aggregate the data and we can act on the data . Because we look at the ecosystem in its entirety . And then during the build , we plug in the different components to fit that whole journey . We look at the entire ecosystem – and we always start at the end with the end-users experiences .” aimagazine . com 181