Normalized claim
Quantified impact: 75% decrease
Reduced latency by 75%, enhancing user experience and accelerating product adoption.
levelbuild: AI-Driven No-Code Platform for Construction Industry on Google Cloud
Use case typeWorkflow automationUpdated Jun 13, 2026
levelbuild is a German technology company offering a no-code workflow and application management platform for the construction industry, centralizing disparate applications and data into a unified interface and enterprise data warehouse. In 2024, levelbuild migrated its platform infrastructure to Google Cloud for improved scalability, reduced latency, onboarding time, and costs, crucial for over 20,000 users generating 10 million transactions daily. They integrated Google Cloud's AI capabilities including Vertex AI, Gemini models, and Cloud Run to introduce AI-driven features such as predictive analytics, sentiment analysis, and document search, reducing document search time from weeks to minutes. Google Cloud's managed services allow optimization of compute resource consumption, cutting database costs by 50% and enabling resource sharing across customers, improving performance and uptime. A digital workforce of AI agents is planned to automate tasks like RFP analysis, sentiment detection, and schedule adjustments, enhancing operational efficiency in construction project management.
- Organization
- levelbuild
- Industry
- Tech & Comms
- Location
- Germany
Reported outcomes
Time: −75%
Time & speed
Time: −75%Cost: −50%
Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 75% decrease
Cut onboarding times by 75%, from a month to a week, improving customer onboarding efficiency.
Normalized claim
Cost: 50% decrease
Reduced database and infrastructure costs by 50% through efficient resource sharing and managed services.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- levelbuild
- Provider
- GCP
- Maturity
- Production
- Linked source
- Google Cloud Customer Stories
A digital workforce of AI agents is planned to automate tasks like RFP analysis, sentiment detection, and schedule adjustments, enhancing operational efficiency in construction project management
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 4
- 1Workflow Automation
- 2AI Agents
- 3Document Intelligence
- Migrated the entire platform infrastructure to Google Cloud, choosing it over other providers for better performance and AI integration capabilities.
- Implemented AI-driven microservices and used Vertex AI with Gemini-based models for document processing, email summarization, and video transcription.
- Partnered with Seibert Group for migration guidance and AI technology enhancement.
- Planned deployment of AI agents to perform predictive analytics, sentiment analysis, and automated schedule adjustments within the platform.
- Enabled AI-driven search to reduce research time from weeks to minutes for large construction projects.
- Improved operational efficiency and business insights for over 20,000 users daily.
Sources & evidence1
Evidence: Medium65/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublisher: Google Cloud Customer StoriesEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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