Whispr is taking advantage of the nonstop growth of voice tech, offering frontline workers an AI service that dictates instructions to them as well as answering their questions in real time

As more technologies adopt voice and language recognition, consumers become more accustomed to integrating into their everyday routines Copenhagen-based start-up Whispr has announced a $750,000 preseed round of funding in order to put its app in the hands of employees and companies who need it.

The essential formula of the app is that it “whispers” help to the frontline employee working on a specific tasks, like cleaning a room or replacing an engine. The worker can ask the app questions and receive answers to finish the job quickly and correctly, taking a check-list style idea to a whole new level. It even collects data in order to improve its understanding as well as comprehending how long tasks can take or when people get stuck.

“For 50 years, there has been virtually no improvement in bringing technology to frontline employees,” Whispr CEO and cofounder Hugh O’Flanagan tells VentureBeat. “Whispr is changing that and bringing voice technology to empower the billions of underserved workers. Our technology adapts to humans, not the other way around. We are returning to the original and most natural user interface, which is voice.”

While the app is not currently available for use yet, it is currently in beta testing.

Whispr


Lead image: stock photos from Minerva Studio/Shutterstock

As more technologies adopt voice and language recognition, consumers become more accustomed to integrating into their everyday routines Copenhagen-based start-up Whispr has announced a $750,000 preseed round of funding in order to put its app in the hands of employees and companies who need it.

The essential formula of the app is that it “whispers” help to the frontline employee working on a specific tasks, like cleaning a room or replacing an engine. The worker can ask the app questions and receive answers to finish the job quickly and correctly, taking a check-list style idea to a whole new level. It even collects data in order to improve its understanding as well as comprehending how long tasks can take or when people get stuck.