Infrastructure upkeep drained engineering time. Parallel AI agents now run security audits in 80 seconds, down from 5 minutes.
A cybersecurity startup developed a multi-agent AI platform designed to autonomously audit, operate, and document complex IT infrastructures for enterprise clients.
Inefficient infrastructure management with a previous provider created operational bottlenecks that drained engineering resources. This complexity...
“A decisão pela migração foi tomada especialmente visando o uso de ferramentas, como o Vertex AI e o Agent Development Kit (ADK). A infraestrutura automatizada permitida pelo GKE Autopilot, a escalabilidade e a possibilidade de crescimento do nosso negócio também foram aspectos levados em conta.”
Multi-agent AI platform for orchestrating IT and cybersecurity operations.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Related implementations across industries and use cases
Retrieving specific files meant weeks of full server restoration. AI now queries archives to fetch records in seconds.
Devs manually seeded context for complex tasks. Agents now retain memory for weeks, working independently after a single session.
Contractors drowned in ticket backlogs. AI agents now crawl digital surfaces to spot patterns and auto-file takedowns 24/7.
Contractors drowned in ticket backlogs. AI agents now crawl digital surfaces to spot patterns and auto-file takedowns 24/7.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
SSetup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
Serial testing bottlenecked development. Now, parallelized checks validate hundreds of complex conversation paths in seconds.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.