HubSpot
Video production and localization
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
- Up to 2 weeks translation wait time eliminated
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
A global enterprise platform used by over 11,000 organizations, including 60% of the Fortune 500, producing a vast library of multimedia content across 50 languages.
Manual localization relying on voice actors and studios took weeks or months, forcing the team to reject long-form projects like webinars due to...
“We were producing so much content—marketing videos, internal communications, long-form webinars—and we needed to get it into all these different languages. But the old way of doing it just didn’t scale.”
Workday's Video translation is part of this use case:
Cloud platform for enterprise human resources, finance, and business planning.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Minor UI tweaks forced weeks of studio reshoots. Now, writers edit text to regenerate videos instantly without filming.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Video localization was too costly to scale. AI now clones voices and lip-syncs lectures, preserving tone without manual reshoots.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
A global enterprise platform used by over 11,000 organizations, including 60% of the Fortune 500, producing a vast library of multimedia content across 50 languages.
Manual localization relying on voice actors and studios took weeks or months, forcing the team to reject long-form projects like webinars due to...
“We were producing so much content—marketing videos, internal communications, long-form webinars—and we needed to get it into all these different languages. But the old way of doing it just didn’t scale.”
Workday's Video translation is part of this use case:
Cloud platform for enterprise human resources, finance, and business planning.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Minor UI tweaks forced weeks of studio reshoots. Now, writers edit text to regenerate videos instantly without filming.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Video localization was too costly to scale. AI now clones voices and lip-syncs lectures, preserving tone without manual reshoots.
Updating courses meant recalling speakers to re-record. Now, editors type text for AI voice clones to generate audio instantly.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.