75% reduction in latency
75% reduction in new customer onboarding time
50% reduction in database-related costs
Research time to be reduced from weeks to minutes with AI-driven search
levelbuild migrated its no-code workflow and application management platform for the construction industry to Google Cloud, reducing latency, onboarding times, and database costs by 50%, while boosting compute power and scalability. New AI features (search, predictive, sentiment analysis) will enhance efficiency for 20K+ users.
levelbuild migrated its no-code workflow and application management platform for the construction industry to Google Cloud, reducing latency, onboarding times, and database costs by 50%, while boosting compute power and scalability. New AI features (search, predictive, sentiment analysis) will enhance efficiency for 20K+ users.
Building a new foundation for a platform used by builders
The words “construction site” conjure images of oversize backhoes and bulldozers, deafening rockbreakers and piledrivers, hardhats, and vast stockpiles of rebar, steel I-beams, scaffolding, bricks, and cement.
But underlying all that kinetic energy are planning documents, building codes, blueprints, project schedules, itineraries — and the armies of architects, urban planners, accountants, bankers, designers, and engineers who put it all in motion and keep building projects on track.
levelbuild is a Germany-based technology company whose no-code platform helps construction companies and engineering firms bring all the disparate applications and platforms used by those professionals together, using APIs, into a unified user interface that includes drag-and-drop tools for customizing complex project workflows.
It also centralizes all the documents and data associated with those apps and platforms — everything from standard back-office tools to industry-specific estimation, drafting, and project management systems — into an enterprise data warehouse, eliminating the data silos that have grown organically over time.
With more than 20,000 end-users generating 10 million transactions across our platform every day, performance was a big factor in our decision, and Google performed better than every other cloud provider we tested.
Michael Woitag
CEO, levelbuild
This single source of truth, together with levelbuild’s easy-to-use interface, enables different departments within a construction company to leverage the same data, yielding business insights that were previously harder or impossible to come by without porting data between platforms or learning another team’s software.
In 2024, when levelbuild embarked on a complete rebuild of their platform, they also rethought the foundation and infrastructure that supported it. “We were maxing out the capacity of our on-prem and virtual servers, and the company was continuing to grow,” recalls Michael Woitag, levelbuild’s CEO. “We needed a fast, secure, cost-effective, cloud-based solution that could scale along with our client base.”
Low-latency, high-security, and integrated AI
Together with Google Cloud partner Seibert Group, levelbuild ran a pilot project to compare its platform’s performance on Google Cloud and other cloud providers. Woitag was impressed with the results.
When we tested our AI use cases, Gemini performed beautifully, and Google felt like a technology partner we could trust.
Michael Woitag
CEO, levelbuild
“We had been experiencing significant lag times with our on-prem machines and previous cloud provider, and latency hinders product adoption among our customers,” he explains. “With more than 20,000 end-users generating 10 million transactions across our platform every day, performance was a big factor in our decision, and Google performed better than every other cloud provider we tested.”
Knowing that the upgraded version of levelbuild would incorporate new, AI-driven features, the seamless integration of AI models and platforms with Google Cloud was also a deciding factor.
“We tested a few AI use cases, and Gemini performed beautifully,” Woitag adds. “Ultimately, Google felt like a technology partner we could trust.”
In addition, Google Cloud’s certifications and documented alignment with GDPR, the European Union’s data privacy regulations, helped levelbuild meet its security and compliance requirements. Google Cloud also offers unlimited scalability with Cloud Storage — key for a business with a growing roster of clients in a growing industry.
Lower costs, flexible scaling, and better performance
Once the system architecture for the new version of levelbuild was complete, the migration to Google Cloud took about a month. The platform has 80 separate modules that provide industry-specific functionality, and over 40 have already been ported over; customer data is being transferred simultaneously, and all new levelbuild customers are now being onboarded to the platform running on Google Cloud.
“New customers and those we’ve migrated are already benefitting from the speed and AI components of the Google platform,” Woitag reports. “We’ve reduced per-click latency for users per click by 75% while improving uptime.” A better user experience accelerates adoption rate, which ultimately boosts ROI for levelbuild customers. And automation features in the new, serverless infrastructure, such as Cloud Run, have reduced onboarding times by 75%, from a month to a week.
Though the migration is not yet complete, levelbuild is already realizing benefits as well. “Moving our platform’s infrastructure to Google Cloud has significantly reduced costs because compute services are optimized based on consumption, so we’re only paying for what we use,” Woitag says.
Previously, each customer had its own instance of the platform regardless of size, but Google enables levelbuild to share resources across customers. “BigQuery and AlloyDB give us the flexibility and scalability we need at a lower per-license cost,” Woitag continues. “Migrating to Google Cloud is cutting our database costs in half.”
BigQuery and AlloyDB give us the flexibility and scalability we need at a lower per-license cost. Migrating to Google Cloud is cutting our database costs in half.
Michael Woitag
CEO, levelbuild
In addition, levelbuild has moved from managing its own databases and virtual GPUs to using Google’s managed services. “We use less power while achieving better performance,” he adds. “Google maintains the infrastructure, and it’s always up and running.”
Woitag anticipates passing these savings along to customers, which will both make levelbuild more competitive and increase revenue. But it’s Google Cloud’s AI-related components that he feels will galvanize the appeal of the levelbuild platform.
Boosting efficiency by automating repetitive tasks with agentic AI
Cloud Run is already providing several AI-driven microservices: converting scanned documents into machine-readable PDFs, deduplicating images stored on Google Cloud, and translating tabular data from German to English. And levelbuild software engineers are using the Vertex AI platform to build and deploy customized Gemini-based models that summarize emails, propose responses, and extract to-do lists; transcribe and summarize Google Meet videoconferences; and write project and product descriptions.
Google-based AI-driven search, built into our own platform, will reduce weeks of work to minutes for our clients.
Michael Woitag
CEO, levelbuild
“But that’s just the beginning,” says Woitag, whose plans include a “digital workforce” of AI agents that enable levelbuild’s clients to work more efficiently.
For example, behind every construction project are thousands of pages of technical and financial documents — making it difficult to find the right information quickly. “Some of our larger customers manage hundreds of complex construction projects at a time, and it can take someone weeks to unearth the right information,” Woitag observes. “Google-based AI-driven search, built into our own platform, will reduce weeks of research to minutes for our clients.”
Also planned is a predictive AI agent for analyzing large RFPs. By leveraging the data in levelbuild’s centralized data warehouse, it will help construction firms decide whether to pursue a project by predicting their chances of winning it and generating a gap analysis to show them how to improve their chances.
And agentic AI capable of sentiment analysis will help construction site managers work more efficiently by parsing emails and flagging them when it senses a customer or partner is unhappy. It will also locate documents requested by the sender and adjust construction schedules based on change orders.
Growth through the power of partnership
To build these agents — and accomplish the migration to Google Cloud itself — levelbuild has partnered with Seibert Group. “It’s Seibert’s guidance that’s enabling a smooth transition to Google Cloud and helping levelbuild level up our AI technology landscape,” Woitag says. Because Seibert’s client base overlaps with levelbuild’s, the two companies are also partnering in marketing efforts.
“We’ve always believed in the power of partnership, and we believe we found the right partners in Seibert and Google Cloud,” Woitag concludes. “Our collaboration will help levelbuild equip Germany’s construction industry with the tools it needs to continue to be a driving force behind the country’s economic growth.”
Our collaboration with Google Cloud will help equip Germany’s construction industry with the tools it needs to be a driving force behind the country’s economic growth.
Michael Woitag
CEO, levelbuild
levelbuild AG is a German owner-managed technology start-up with an experienced management team. The company was founded in 2023 with the aim of helping companies to develop customised digital solutions without having to rely on complex programming. This enables companies to meet current challenges more efficiently.
Industry: Manufacturing
Location: Germany
Products: Google Cloud, AlloyDB, BigQuery, Cloud Run, Cloud Storage, Gemini, Google Meet, Vertex AI
About Google Cloud partner — Seibert Group
For over 25 years, Seibert Group has been supporting organizations in their digital transformation. As an official Google Cloud partner they develop holistic strategies to make teamwork more effective, transparent, and self-organized.
