European AI Fintech
Models in production without monitoring or a way back are a liability in fintech. We built a distributed AI platform on GCP where every model ships with MLOps: monitoring, evaluation, and rollback.
A European fintech needed a distributed AI platform with production-grade MLOps. In a regulated business, a model that ships without monitoring or a way back is a risk they could not carry, so every model had to come with operational scaffolding.
How we took it on.
- 01
Designed an eight-service distributed architecture.
- 02
Built MLOps pipelines for training, serving, and evaluation.
- 03
Ran it on GKE and BigQuery at scale.
What shipped.
Distributed AI fintech platform.
MLOps pipelines with evaluation and rollback.
Vertex AI integration across services.
The outcome, in plain terms.
A platform where models ship with operational scaffolding.
Distributed scale on GCP.
AI the business can actually run.
- Vertex AI
- GKE
- BigQuery
- Model governance
- SOC 2
- SRE
MLOps done properly. Our models ship with monitoring and a way back, every time.