[ Tech stack ]
Google Cloud Platform
The cloud built for data, AI and Kubernetes (which it invented).
GCP excels at data workloads (BigQuery), AI (Vertex AI, Gemini) and containers (GKE). Its global private backbone network and per-second billing appeal to tech-native teams.
[ Why Google Cloud Platform at Dexon ]
What this technology does well, and why we use it.
Typical usage: Data analytics, generative AI, managed Kubernetes.
- 01
BigQuery: a world-class serverless data warehouse.
- 02
Vertex AI: ML pipelines and Gemini in production.
- 03
GKE: managed Kubernetes by the inventors of Kubernetes.
- 04
Global private network, low inter-region latencies.
[ Complementary technologies ]
The building blocks we often mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a brick to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ Our AI stance ]
AI-augmented approach, supervised by experts.
We use artificial intelligence as a lever for acceleration and optimisation within our technical processes, while keeping strong human oversight on every strategic phase of the project.
AI improves productivity. It does not replace:
- field experience
- architectural expertise
- understanding business stakes
- technical governance
- complex trade-offs
- cybersecurity
- operational accountability
Our teams act as a layer of validation, quality control, security hardening and steering, to ensure reliable, scalable deliverables that can operate in real-world environments.