Gleamer

Gleamer has 2 source-linked AI deployments documented in AIUseCaseHub, across 1 industry and 1 country.

Use Cases

Industries

Countries

Hyperscaler mix

See whether Gleamer's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Gleamer builds AIBuild, Buy & Compose — what they mean
Build — Custom, pro-code engineering — bespoke pipelines and SDKs (e.g. Bedrock, Vertex AI).
Buy — An off-the-shelf assistant or copilot, adopted as the main solution.
Compose — Low-code / no-code assembly (e.g. Copilot Studio, Power Platform, n8n).
Mixed — A combination of more than one of the above.

Build / Buy / Compose across this company's documented cases

100%

BuildBuyComposeMixed

1 of 2 cases classified (50%) · Compare all use-case types

Reported outcomes

2 cases report measurable results

+30%

Quality & accuracy

median · 2 metrics

Medians of results published in Gleamer cases, normalized for comparability. See all benchmarks →

Technology snapshot

What Gleamer uses across visible cases

Computer Vision appears in 1 of 2 indexed cases; 7 named technologies are mentioned, led by BigQuery.

Capability mix

Computer Vision50%

Technologies mentioned

BigQuery2 Datastore2 Google Kubernetes Engine2 Med-PaLM2 Vertex AI2 Gemini1 Gemini models1

All Use Cases (2)

GCP

Gleamer accelerates radiology AI innovation globally with Vertex AI and Google Cloud

Gleamer leverages Google Cloud infrastructure to provide scalable, AI-powered radiological image analysis across more than 2,500 institutions in 45 countries.The platform integrates Vertex AI models including Med-PaLM and Gemini to automate report generation and lesion detection, improving diagnostic accuracy by 30%.BigQuery and Google Kubernetes Engine support large-scale data processing and workflow optimization, enabling expansion into mammography and CT scans.

HealthcareMay 2026

Vision

GCP

Gleamer partners with Google Cloud to revolutionize radiology with AI

Gleamer developed AI solutions to automate and enhance radiological image analysis globally.Their platform leverages Google Cloud's scalable infrastructure, including BigQuery, GKE, Datastore, and Vertex AI with Med-PaLM and Gemini AI models for medical imaging diagnostics.The solution supports over 2,500 institutions across 45 countries, analyzing 35 million exams annually and improving lesion detection accuracy by up to 30%.The AI powered automated report generation reduces radiologist workloads and improves diagnostic quality and accessibility, particularly in underserved regions.

Healthcare