GCPScaled productionEvidence: Medium55/100

Cake Digital Bank builds 'Next GenAI Bank' with Vertex AI and Gemini Flash

Cake Digital Bank, headquartered in Vietnam, aimed to become a leading 'Next GenAI Bank' by integrating AI across its operations to improve personalized customer service, risk management, and regulatory compliance. They built an omni-channel chatbot powered by Google Cloud Vertex AI and Gemini Flash for personalized natural language interactions, and developed an AI biometric eKYC system certified and used by over 15 million users in Vietnam. The bank deployed 50 AI models using Vertex AI and BigQuery for credit scoring, fraud detection, and customer interaction, which accelerated product development cycles from months to days. Their architecture was based on Google Kubernetes Engine providing scalable microservices, enhanced customer engagement, and operational efficiency. Cake Digital Bank partnered with external sectors including entertainment, retail, and insurance to build a digital ecosystem providing customers with tailored financial products.

Organization
Cake Digital Bank
Industry
Finance
Location
Vietnam
Published
June 2024
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Cake Digital Bank
Provider
GCP
Maturity
Scaled Production

The bank employed a scalable cloud-first architecture enabling fast feature releases and AI-driven product innovation at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

  • 1Conversational AI
  • 2Biometric Authentication
  • 3AI Model Development and Deployment
  • Cake Digital Bank utilized Google Cloud's Vertex AI, Gemini Flash, BigQuery, Cloud Run, and Google Kubernetes Engine (GKE) to build and deploy AI models and digital services.
  • They developed a biometric authentication system (FaceAuthen) using Vertex AI to comply with national regulations, which is now widely adopted in the market.
  • An omni-channel AI chatbot was created using advanced LLMs (PaLM 2 and Gemini models) in Vertex AI, continuously learning from interactions to personalize user experiences.
  • The bank employed a scalable cloud-first architecture enabling fast feature releases and AI-driven product innovation at scale.
  • Achieved significant growth with 4.6 million customers served in under 4 years and recognition as Best AI Bank by The Asian Banker in 2024.
  • The FaceAuthen biometric system is used by 15+ million Vietnamese users, supporting regulatory compliance.
  • Won Best AI Technology implementation award adding to brand prestige.
Architecture

The architecture leverages Google Kubernetes Engine for scalable microservices handling, Vertex AI for AI model building and deployment, BigQuery for AI-powered data analytics, Cloud Run for serverless execution, and Gemini Flash as the generative AI model powering the chatbot and biometric authentication solution.

Sources & evidence1
Evidence: Medium55/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Technical implementation details available
Type: Customer StoryPublished: Jun 1, 2024Publisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High

AI-generated summary. Verify important details with the linked sources before relying on this case.

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