Live filming limited a team of six. Using AI avatars, social workers now generate 15 medically precise videos in a single day.
One of the largest cancer support organizations in the United States manages a digital academy for 120,000 community members using a small team of social workers and psychologists.
The team needed to produce thousands of medically precise videos, but relying on live recording was slow, costly, and dependent on external talent. A...
“Malecare’s Cancer Academy platform requires thousands of videos. Prior to HeyGen, the struggle was creating thousands at scale by a team of six people, all of whom are social workers or psychologists, none of whom have video production backgrounds.”
Malecare's Patient education videos is part of this use case:
Prostate cancer support and advocacy organization for men and LGBTQ+ people.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
One actor for six roles blurred identities. Generating unique voices for each hero allowed the team to scale scripts into video.
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
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.
Live filming limited a team of six. Using AI avatars, social workers now generate 15 medically precise videos in a single day.
One of the largest cancer support organizations in the United States manages a digital academy for 120,000 community members using a small team of social workers and psychologists.
The team needed to produce thousands of medically precise videos, but relying on live recording was slow, costly, and dependent on external talent. A...
“Malecare’s Cancer Academy platform requires thousands of videos. Prior to HeyGen, the struggle was creating thousands at scale by a team of six people, all of whom are social workers or psychologists, none of whom have video production backgrounds.”
Malecare's Patient education videos is part of this use case:
Prostate cancer support and advocacy organization for men and LGBTQ+ people.
AI video generation platform for business messaging, marketing, and localization.
Related implementations across industries and use cases
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
One actor for six roles blurred identities. Generating unique voices for each hero allowed the team to scale scripts into video.
Filming 60-hour courses took three months. By driving digital twins with scripts, the founder now generates them in two weeks.
Illness made filming impossible. A custom AI avatar now generates video from scripts, maintaining output on 30 minutes of daily work.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
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.