English-only slides couldn't reach 25,000 technicians in vans and on job sites. AI video, culturally tailored for each region, finally did.
A global elevator and escalator manufacturer with 50,000 employees across dozens of countries, roughly half of whom are field technicians working from vans and job sites rather than at desks.
When leadership needed to roll out a new set of operating principles, their playbook was English-only PowerPoints and drop-in sessions designed for...
“Before Synthesia, we had consistency issues. A message that didn't land, because it wasn't localized.”
Manufacturer and service provider of elevators, escalators, and moving walkways.
AI video generation platform using synthetic avatars and text-to-speech.
TK Elevator's Employee training is part of this use case:
Related implementations across industries and use cases
Lengthy PDFs and slow translations bottlenecked global training. Now, HR uses AI avatars to generate short, localized videos in minutes.
Traditional video was too labor-intensive for regional teams to run locally. Across 80 countries, they now create and translate their own.
Script updates forced studio reshoots. Now, teams generate multilingual avatar videos from text, bypassing cameras entirely.
Traditional video was too labor-intensive for regional teams to run locally. Across 80 countries, they now create and translate their own.
Videos obsolete in 30 days forced expert re-shoots. Now, AI generates training from text, cutting production from days to hours.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
English-only slides couldn't reach 25,000 technicians in vans and on job sites. AI video, culturally tailored for each region, finally did.
A global elevator and escalator manufacturer with 50,000 employees across dozens of countries, roughly half of whom are field technicians working from vans and job sites rather than at desks.
When leadership needed to roll out a new set of operating principles, their playbook was English-only PowerPoints and drop-in sessions designed for...
“Before Synthesia, we had consistency issues. A message that didn't land, because it wasn't localized.”
Manufacturer and service provider of elevators, escalators, and moving walkways.
AI video generation platform using synthetic avatars and text-to-speech.
TK Elevator's Employee training is part of this use case:
Related implementations across industries and use cases
Lengthy PDFs and slow translations bottlenecked global training. Now, HR uses AI avatars to generate short, localized videos in minutes.
Traditional video was too labor-intensive for regional teams to run locally. Across 80 countries, they now create and translate their own.
Script updates forced studio reshoots. Now, teams generate multilingual avatar videos from text, bypassing cameras entirely.
Traditional video was too labor-intensive for regional teams to run locally. Across 80 countries, they now create and translate their own.
Videos obsolete in 30 days forced expert re-shoots. Now, AI generates training from text, cutting production from days to hours.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
Flying blind with agents in critical infrastructure — raw logs the only window. Now production traces feed evaluation before every release.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.