hoichoi
Audio content production
Human dubbing took 5 days, slowing expansion. Editors now use AI to generate multilingual audio in 2 days, streamlining production.
- Dubbing timeline cut from 5 days to 2 days
A 5-person team spent months prepping thousands of episodes. Now, AI generates multilingual subtitles and posters, cutting work to days.
A mobile value-added services provider reaching three million active subscribers across 20 countries sought to launch a mobile-first streaming service across eight regional markets.
With a lean five-person platform team, the company needed to rapidly launch the service to secure critical telecommunications partnerships. However,...
“We had to be the first with our short-drama offering to secure the telco partnerships we wanted.”
Mobile value-added services and programmatic advertising platform.
Cloud computing platform and on-demand infrastructure services.
Netmedias Leashares's Media content preparation is part of this use case:
Related implementations across industries and use cases
Human dubbing took 5 days, slowing expansion. Editors now use AI to generate multilingual audio in 2 days, streamlining production.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Past campaigns relied on static images. Engineers use AI to write personalized video scripts mapped directly to pre-built 3D scenes.
Traditional VFX required 5 months. Artists generated photoreal crowds and physics with AI, finishing the scene in 2 weeks.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A 5-person team spent months prepping thousands of episodes. Now, AI generates multilingual subtitles and posters, cutting work to days.
A mobile value-added services provider reaching three million active subscribers across 20 countries sought to launch a mobile-first streaming service across eight regional markets.
With a lean five-person platform team, the company needed to rapidly launch the service to secure critical telecommunications partnerships. However,...
“We had to be the first with our short-drama offering to secure the telco partnerships we wanted.”
Mobile value-added services and programmatic advertising platform.
Cloud computing platform and on-demand infrastructure services.
Netmedias Leashares's Media content preparation is part of this use case:
Related implementations across industries and use cases
Human dubbing took 5 days, slowing expansion. Editors now use AI to generate multilingual audio in 2 days, streamlining production.
Model tuning took weeks, slowing market entry. On Bedrock, updates take days, cutting costs 50% and boosting retention 75% for telecom.
Manually classifying 10M media signals took 12 weeks. Now, AI agents automatically extract and match unstructured metadata to entities.
Past campaigns relied on static images. Engineers use AI to write personalized video scripts mapped directly to pre-built 3D scenes.
Traditional VFX required 5 months. Artists generated photoreal crowds and physics with AI, finishing the scene in 2 weeks.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.