What challenges did Thinknum face before AI implementation?

A prior migration attempt was abandoned because it was too complex and cost-prohibitive. Thinknum needed to lower IT costs, accelerate analytics without increasing compute, and get guidance on security and maintenance best practices.

What was the impact of the AI solution?

Cloud-related costs fell by nearly 60%. Monthly IT management time dropped from 140 hours to 30 hours. Engineers could focus more on product development and client satisfaction.

Source

GCPEvidence: Medium50/100

Thinknum: Gemini for query optimization and AI guidance during migration; BigQuery/AlloyDB data platform

Use case typeData platform modernizationUpdated Jul 18, 2026

Thinknum provides alternative data for investment decisioning, with structured datasets built from public web sources and a customer platform for access and visualization. The company migrated its IT infrastructure, data platform, and a 15TB third-party database to Google Cloud in under two months, with BigQuery as the unified data platform and AlloyDB as core storage. Gemini helped optimize database queries and provided best-practice guidance on Google Cloud security and maintenance during the migration.

Organization: Thinknum
Industry: Finance
Location: United States
Published: July 2026

Reported outcomes

−60%

cloud-related costsCost savings

−80%monthly IT management time

Strategic outcomes

Cost efficiencyUnified managed data platformSpeed & agilityAccelerated query response times without extra computeOther strategic outcomeEngineers focused on product development instead of infrastructure management

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cloud-related costs: 60% decrease

Google Cloud Customer StoriesJul 18, 2026Customer storyExplicit claimMedium evidence strength

"cloud-related costs ... have plummeted 60% since the migration"

Normalized claim

Monthly IT management time: 80% decrease

Google Cloud Customer StoriesJul 18, 2026Customer storyInferred claimMedium evidence strength

"we've reduced monthly IT management time from 140 hours to 30 hours"

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

Customer: Thinknum
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

1Data platform modernization
2Prompt optimization
3Cloud migration

A prior migration attempt was abandoned because it was too complex and cost-prohibitive.
Thinknum needed to lower IT costs, accelerate analytics without increasing compute, and get guidance on security and maintenance best practices.

Migrated the entire infrastructure and 15TB historical database to Google Cloud in under two months.
Used BigQuery as the unified data platform and AlloyDB for core storage.
Used Gemini to analyze two months of database activity, suggest SQL query improvements, and provide guidance on Google Cloud security and maintenance procedures.
Used Cloud Run for proprietary code execution and Cloud Build for developing, testing, and deploying new features.

Technologies

Gemini Gemini Code Assist BigQuery AlloyDB Cloud Run Cloud Build Google Cloud

Cloud-related costs fell by nearly 60%.
Monthly IT management time dropped from 140 hours to 30 hours.
Engineers could focus more on product development and client satisfaction.

Architecture

Thinknum migrated its infrastructure and 15TB database to Google Cloud, using BigQuery as the unified data platform, AlloyDB for core storage, Cloud Run for proprietary code execution, and Cloud Build for CI/CD. Gemini and Gemini Code Assist were used to analyze database activity, optimize SQL queries, and provide security and maintenance guidance.

Sources & evidence1

Evidence: Medium50/100Evidence strength