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levelbuild has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country. Key partners include Seibert Group.
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Hyperscaler mix
See whether levelbuild's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How levelbuild builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at levelbuild
Document automation leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Reported outcomes
2 cases report measurable results
−75%
Time & speed
median · 3 metrics
−50%
Cost savings
median · 1 metric
Medians of results published in levelbuild cases, normalized for comparability. See all benchmarks →
Technology snapshot
What levelbuild uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 9 named technologies are mentioned, led by BigQuery.
All Use Cases (2)
levelbuild: AI-Driven No-Code Platform for Construction Industry on Google Cloud
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.
levelbuild Migrates No-Code Construction Workflow Platform to Google Cloud with AI Enhancements
levelbuild, a Germany-based technology company, migrated its no-code workflow and application management platform for the construction industry to Google Cloud to improve scalability, reduce latency, and enable AI-driven features.The legacy infrastructure limited performance and scalability while the company needed to integrate AI to enhance construction workflow efficiency for over 20,000 users.The solution involved migrating the platform to Google Cloud using serverless infrastructure including Cloud Run, BigQuery, AlloyDB, and AI-driven microservices with Vertex AI and Gemini-based models.AI capabilities include converting scanned docs to PDFs, deduplicating images, translating tabular data, summarizing emails, extracting to-do lists, transcribing and summarizing Google Meet video conferences, and sentiment analysis.Migration improved per-click latency by 75%, cut onboarding time by 75%, halved database costs, enhanced uptime and scalability, and accelerated platform development.Partnership with Seibert Group guided the AI integration and cloud migration process, ensuring GDPR compliance and performance improvements.
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