Case Study: Ingedata achieves rapid global deployment and scalable, high-availability AI services with Google Cloud Platform

Ingedata Using infrastructure as a powerful performance argument

Ingedata is a Hong Kong–based outsourcing agency (founded 2005) that delivers machine learning, large-scale data processing, and technical design services to over a hundred international clients. Rapid growth and a need for real‑time transparency, regulatory compliance, predictable costs, and daily feature deployment meant the company required a scalable, low‑maintenance IT platform to support new services and higher volumes.

Ingedata migrated its systems to Google Cloud Platform (Compute Engine and Google Kubernetes Engine) in under two weeks and launched Rhymes, its 24/7 ERP. The cloud setup delivered 99.96% availability, automatic scaling (about 200 requests/min and 700 tasks/hour), freed 40% of IT technicians from maintenance work, kept staffing stable despite activity doubling, and enabled client-facing order placement, real‑time monitoring and predictive analytics while improving compliance and cost transparency.

Ingedata

Yacine Petitprez

CTO