How does Motran use Google Cloud?

Motran uses Google Cloud for data-intensive AI projects, with BigQuery as the analytical core and Vertex AI for model development. We combine this with Cloud Run for scalable APIs and Google Workspace integrations for direct productivity gains.

Which sectors benefit from Google Cloud?

Google Cloud is particularly strong for logistics with real-time data analysis, manufacturing with IoT and analytics, and the financial sector with advanced business intelligence via BigQuery.

Google Cloud.

Cloud & Infrastructure

Google Cloud Platform with strong AI/ML integrations and data analytics. Ideal for organisations already using Google Workspace.

By Google

About

What is Google Cloud?

Google Cloud Platform (GCP) is Google's cloud infrastructure with a strong focus on AI/ML, data analytics, and the Google ecosystem. GCP offers services like BigQuery for data analysis, Vertex AI for machine learning, and Cloud Run for containerisation. The platform is especially strong for organisations already using Google Workspace.

Our approach

How Motran uses Google Cloud.

Motran builds data and AI solutions on Google Cloud, with BigQuery as the central data analysis engine and Vertex AI for training and deploying models. We deploy Cloud Run for containerised APIs and leverage seamless Google Workspace integration to make AI capabilities directly available in the tools employees use daily.

Use cases

How Google Cloud adds value.

BigQuery data analysis

BigQuery data analysis: large datasets are analysed at lightning speed with Google's serverless data warehouse for real-time business insights.

Vertex AI model hosting

Vertex AI model hosting: ML models are trained, tuned, and deployed on Google's optimised AI infrastructure.

Cloud Run containerisation

Cloud Run containerisation: APIs and microservices run scalably and cost-efficiently on Cloud Run without server management.

Benefits

Sector benefits.

Google Cloud offers particular value for the logistics sector with real-time route and supply chain analysis via BigQuery, the manufacturing industry with IoT data analysis and predictive maintenance, and the financial sector with powerful analytics and AI-driven risk assessment.