Engineers manually provisioned servers during spikes. Automated GPU scaling now cuts user waits from days to seconds.
A leader in conversational AI in Vietnam specializing in localized voices that capture complex language nuances and regional accents missed by global platforms.
An overnight surge in demand for voice cloning overwhelmed the static virtual machine infrastructure, forcing engineers to manually provision...
“Our voice cloning demand exploded overnight. Our static infrastructure couldn't scale for the surge, and it created a frustrating service experience for our customers.”
Conversational AI platform for text-to-speech and automated customer interactions.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Helped VBEE design its container-based architecture and configured its CI/CD pipelines.
Related implementations across industries and use cases
Engineers spent 90% of time on data prep. New pipelines flipped that to 90% modeling and cut tuning from 7 days to 1 hour.
Infrastructure maintenance distracted engineers. Migrating to Google Cloud cut release cycles from one month to two weeks.
Training human-sounding voices took 20 days on three servers. With H100s, cycles dropped to 5 days on one server, scaling 18 languages.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.