GCPScaled productionEvidence: Medium65/100

Amber Mobile — Document AI + Vertex AI/MLOps for multimodal game analytics

Amber Mobile modernized its data lake and warehouse on Google Cloud and integrated AI/ML to deliver real-time insights, improve computer vision inspection and prediction accuracy, and automate document information extraction at scale. The customer story describes use of BigQuery, Cloud Storage, Dataproc, Cloud Composer, Vertex AI, Document AI, BigQuery ML, Looker Studio, and GKE/Ray on GKE.

Organization
Amber Mobile
Industry
Tech & Comms
Location
Singapore
Published
May 2026
Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 99% increase

Google Cloud Customer StoriesMay 21, 2026Customer storyInferred claimMedium evidence strength

Boosted AI/ML-driven computer vision inspection and user behavior prediction to 99%.

Normalized claim

Accuracy: 99.9%

Google Cloud Customer StoriesMay 21, 2026Customer storyInferred claimMedium evidence strength

Document AI accuracy reached up to 99.9%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
Customer
Amber Mobile
Provider
GCP
Maturity
Scaled Production

Amber Mobile modernized its data lake and warehouse on Google Cloud and integrated AI/ML to deliver real-time insights, improve computer vision inspection and prediction accuracy, and automate document information extraction at scale

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

  • 1Computer Vision
  • 2MLOps
  • 3Document Processing
Amber Mobile migrated to fully managed BigQuery and Cloud Storage for its data lake and warehouse, used Dataproc and Cloud Composer for processing and orchestration, Vertex AI for model building, BigQuery ML for offline batch deployment, Document AI for document extraction, and GKE with Ray for distributed reinforcement-learning training.
Reduced data insights acquisition time to within one day.
Sources & evidence1
Evidence: Medium65/100Evidence strength
  • Customer explicitly identified
  • Deployment status explicitly supported
  • Primary source available
  • Quantified outcome available
  • Technical implementation details available
Type: Customer StoryPublished: May 21, 2026Publisher: Google CloudEvidence: PrimaryConfidence: High

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

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