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CloudMile

CloudMile powers 3 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 3 countries. Documented deployments include AI agents.

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Use Cases

3

Industries

2

Countries

3

Agent Cases

1

Hyperscaler mix

Filter CloudMile's implementations by cloud provider evidence.

How CloudMile builds AI

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

BuildBuyComposeMixed

2 of 3 cases classified (67%) · Compare all use-case types

Reported outcomes

2 cases report measurable results

+20%

Adoption & scale

median · 1 metric

+15%

Time & speed

median · 1 metric

−10%

Cost savings

median · 1 metric

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

All Use Cases (3)

GCP

SmartDaily (KNST) builds ML-powered customer service agent insights with Vertex AI, BigQuery, and Contact Center AI on Google Cloud

SmartDaily, a smart community services platform from KNST CO., LTD. in Taiwan, moved its platform to Google Cloud to improve stability, data security, and analytics performance.The company built a centralized BigQuery data warehouse aggregating Cloud SQL and Google Analytics data, then used BigQuery ML with FAQ tagging from Vertex AI and industry knowledge summarized by Gemini 1.5 Pro to help customer service agents answer questions faster.SmartDaily also plans to extend the solution with Contact Center AI, Dialogflow, Text-to-Speech AI, and Speech-to-Text AI for virtual customer service agents.

OtherTaiwan
GCP

MOGUL.sg launches AI agent MAIA for real estate with Google Cloud AI

MOGUL.sg, a real estate technology platform in Singapore, deployed an AI agent called MAIA on WhatsApp to automate property searches and appointment scheduling.The AI agent leverages Google Cloud services including Vertex AI, Gemini AI, Google Maps API, Compute Engine, and BigQuery to provide intelligent, location-aware responses and integrate proprietary real estate data.CloudMile partnered with MOGUL.sg to migrate legacy infrastructure to Google Cloud and rapidly develop the AI agent, enhancing system reliability and reducing operational load.MAIA achieved 15% faster query response times, near-instant AI answers, and streamlined property search and operational workflows, improving customer experience and cost efficiency.

Real EstateSingapore
Agent