Reduces model deployment and fine-tuning from days or weeks to minutes with Vertex AI
Generates AI inferences in seconds for customers in markets worldwide with Google Cloud
Empowers lean teams to deliver customer AI projects rapidly with Model Garden on Vertex AI, controlling costs and enabling the business to do more with less
Reduces processing times for internal search requests and report generation to milliseconds, improving business velocity and performance, with Google Cloud
AI platform provider Shieldbase AI deploys and fine-tunes AI models in minutes through Vertex AI and Model Garden on Vertex AI to power innovative customer use cases.
AI platform provider Shieldbase AI deploys and fine-tunes AI models in minutes through Vertex AI and Model Garden on Vertex AI to power innovative customer use cases.
The new way to power innovation with AI
The Shieldbase AI platform acts as an integration and orchestration layer for customers to connect to various data sources and use AI models from Vertex AI and Model Garden on Vertex AI to power features, such as reporting, search, and workflow automation. Shieldbase AI also incorporates a knowledge base that centralizes, orchestrates, and indexes data from customer data repositories, including BigQuery, for use with AI models. Using Google Cloud AI services enables Shieldbase AI to reduce model deployment and fine-tuning from days or weeks to minutes or hours, allowing its lean team to achieve more with fewer resources. With Google Cloud, the business deploys on cloud infrastructure to customers around the world, completing AI inference processes in seconds and reducing the processing time for internal services, including search, to milliseconds.
With Google Cloud, we don't need to spend days or weeks doing infrastructure work to get a single model up and running. We can just go ahead and do it in a few minutes.
Diego Rojas
CEO, Shieldbase AI
Why Google Cloud?
Shieldbase AI chose Google Cloud for its strength in AI, including the availability of more than 200 advanced models in Model Garden on Vertex AI. These models are individually optimized for varying data types and volumes. This fulfills the organization's requirement to deploy and fine-tune AI models best suited to specific customer use cases. These include reducing data ingestion and processing workflows from days to minutes or seconds for a healthcare company, reclaiming hours of productivity daily for a financial organization by enabling rapid search across decades of siloed data, and empowering customers in heavy industry to control costs by shifting from reactive to predictive operations.
With Google Cloud, we are standing on the shoulders of a giant. With these trusted services used by millions of people worldwide, our lean organization can move quickly to build quality, secure products for our customers across diverse industries in the region.
Diego Rojas
CEO, Shieldbase AI
Shieldbase is an enterprise AI operating system built to unify fragmented AI tools, data systems, and agentic applications into a single, intelligent automation platform. With a focus on privacy, governance, and rapid deployment, Shieldbase enables organizations to drive measurable business outcomes from their AI investments. Headquartered in Southeast Asia, Shieldbase is on a mission to solve the biggest barriers to drive enterprise AI adoption.
Industry: Technology
Location: Singapore
Products: Vertex AI, Model Garden on Vertex AI, BigQuery
