Engineers spent weeks manually configuring infrastructure. Now, they deploy pre-optimized models in minutes.
A Singapore-based technology company provides an enterprise AI operating system that unifies fragmented tools and data for customers across diverse industries.
A lean engineering team spent days or weeks manually configuring infrastructure to get a single AI model up and running. This operational bottleneck...
“With Google Cloud, we don't need to spend days or weeks doing infrastructure work to get a single model up and running. We can just go ahead and do it in a few minutes.”
Enterprise AI operating system for tool orchestration and knowledge management.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
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Manual pipelines blocked researchers for 24 hours per test. A self-service cloud framework now completes evaluations in 20 minutes.
Infrastructure maintenance distracted engineers. Migrating to Google Cloud cut release cycles from one month to two weeks.
Devs spent weeks ramping up. A secure AI now maps dependencies instantly, cutting project times from months to weeks.
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.