What challenges did Shieldbase AI face before AI implementation?

Reduce the time and cost to deploy and fine-tune AI models. Accelerate customer search, reporting, and workflow automation. Help lean teams deliver customer AI projects faster with controlled costs.

What was the impact of the AI solution?

AI inference for customers runs in seconds. Reduced internal search request and report generation processing times to milliseconds.

Source

GCPEvidence: Low40/100

Shieldbase AI operating system using Vertex AI and Model Garden on Vertex AI

Use case typeCompliance automationUpdated Jun 13, 2026

Shieldbase AI is an enterprise AI operating system that unifies fragmented AI tools, data systems, and agentic applications into a single automation platform. The platform acts as an integration and orchestration layer for customers, connecting multiple data sources and centralizing and indexing data, including BigQuery, for use with Google Cloud AI models. It uses Vertex AI and Model Garden on Vertex AI to power reporting, search, and workflow automation, enabling rapid AI deployment with privacy and governance controls.

Organization: Shieldbase AI
Industry: Tech & Comms
Location: Singapore
Published: June 2026

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

Customer: Shieldbase AI
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 4

1AI platform
2Workflow automation
3Search and knowledge retrieval

Built an integration and orchestration layer that connects customer data sources.
Centralizes and indexes customer data, including BigQuery, for AI use.
Runs AI inference with models from Vertex AI and Model Garden on Vertex AI.
Uses the platform to deliver reporting, search, and workflow automation features.

Technologies

Vertex AI Model Garden on Vertex AI BigQuery

AI inference for customers runs in seconds.
Reduced internal search request and report generation processing times to milliseconds.

Architecture

Shieldbase AI uses Google Cloud as an underlying platform and builds an integration/orchestration layer over customer data sources. Customer data is centralized and indexed, including in BigQuery, then AI inference is performed with models from Vertex AI and Model Garden on Vertex AI to support reporting, search, and workflow automation.

Sources & evidence1

Evidence: Low40/100Evidence strength