What challenges did Verihubs face before AI implementation?

Growing KYC and identity-verification traffic at scale. Improving performance without increasing costs. Expanding into deepfake detection to counter AI-generated fraud.

What was the impact of the AI solution?

Scaled to over 30 million monthly requests. Improved performance by 20% without increasing costs. Created a ready-to-production Gemini-based service in two months. Reduced routine financial task execution from several days to minutes.

Source

GCPScaled productionEvidence: Medium65/100

Verihubs case study: AI authentication and deepfake detection with Gemini, Vertex AI, and GKE

Use case typeIdentity verificationUpdated Jun 13, 2026

Verihubs is an Indonesia-based SaaS provider of digital verification and identity authentication services. The company migrated to Google Cloud to support growing KYC demand, improve performance and cost efficiency, and prepare future AI-enabled workflows. It also built an in-house deepfake detection capability to help identify AI-generated fraud attempts in images and videos.

Organization: Verihubs
Industry: Tech & Comms
Location: Indonesia
Published: May 2026

Reported outcomes

+20%

costCost savings

Strategic outcomes

Scale & capacityScaled identity-verification trafficNew product / capabilityBuilt deepfake detection capabilityNew product / capabilityOperationalized AI-enabled service workflowsBetter decisions & insightAccelerated financial analysis tasks

Catalog median for cost savings deployments: +53.5% across 16 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 20% increase

Google Cloud Customer StoryMay 22, 2026Customer storyInferred claimMedium evidence strength

Improved performance by 20% without increasing costs.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Verihubs
Provider: GCP
Maturity: Scaled Production
Linked source: Google Cloud Customer Story

Growing KYC and identity-verification traffic at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Identity verification
2Fraud detection
3AI-powered workflow optimization

Growing KYC and identity-verification traffic at scale.
Improving performance without increasing costs.
Expanding into deepfake detection to counter AI-generated fraud.

Verihubs runs its services on Google Kubernetes Engine to scale request handling.
It uses BigQuery to accelerate routine financial analysis tasks.
Cloud SQL and Cloud Storage support secure storage for operational data.
Terraform automates infrastructure provisioning.
The company built an in-house deepfake detection solution on GKE.
Verihubs used the Gemini API and Vertex AI to operationalize AI capabilities and improve service workflows.