LeapThought and Google Cloud partner to secure infrastructure AI

A new standard for infrastructure

LeapThought and Google Cloud have announced a strategic partnership to bring sovereign, domain-native AI to owners and operators of critical building infrastructure. The collaboration focuses on giving these stakeholders better control over their data while providing sharper decision-making tools across the entire project lifecycle. This includes everything from the initial delivery phase to long-term asset operations.

The partnership centers on two primary goals: value chain integration and security. By connecting owners, developers, consultants, contractors, and suppliers on a single governed platform, the companies aim to eliminate the fragmentation of data that typically occurs during project handovers. This ensures that information follows an asset consistently from its design phase through its operational life.

As reported by 巴士的報, the initiative is starting in Singapore with the goal of building a global standard for critical infrastructure. Ratnakar Garikipati, the founder and CEO of LeapThought, noted that the value of an asset now lies as much in its surrounding intelligence as in its physical form. He emphasized that this intelligence must be secure, sovereign, and shared across the entire value chain.

How the technology works

At the heart of this partnership is the integration of LeapThought's FULCRUMHQ platform with Google Cloud's Gemini models. FULCRUMHQ is an Integrated Digital Delivery platform that provides a single governed record for infrastructure projects. It is designed to house various data types, including BIM models, GIS geospatial data, ERP financials, and telemetry from field robotics and sensors.

LeapThought's proprietary Industrial AI, known as GENIEHQ, is embedded directly into the FULCRUMHQ platform. GENIEHQ is built to reason over both structured and unstructured data that define large capital programs. By pairing GENIEHQ with Google's Gemini models, the partnership allows users to access this complex information using natural-language queries instead of manual navigation.

For example, engineers and project managers can ask plain-language questions directly against 3D BIM models. Instead of clicking through complex trees or running scripts, they can ask to identify specific clash detections or extract exact material quantities. They can also use the system to verify regulatory code compliance or surface risk trends across an entire portfolio of projects.

Security and data sovereignty

A major component of this partnership is the focus on security and sovereignty for critical civil assets and defense installations. Many public sector agencies and private owners require that their sensitive data cannot traverse the public cloud. To meet these needs, LeapThought offers the option to deploy on specific Google Cloud data residency solutions.

These options include Google Cloud Data Boundary, Google Cloud Dedicated, and Google Distributed Cloud. In these environments, the GENIEHQ Industrial AI runs alongside Gemini locally within the owner's chosen security boundary. This setup ensures there is zero cross-boundary exposure and no unauthorized external telemetry is sent out of the secure environment.

Rahul Sharma, the Managing Director for APAC Public Sector at Google Cloud, highlighted the importance of these sovereign, air-gapped solutions. He stated that the partnership enables project teams to surface actionable insights from intricate engineering datasets while maintaining strict data governance. This allows agencies to modernize their workflows without compromising on residency or operational sovereignty.

Scaling for large-scale projects

Google Cloud provides the underlying high-performance compute and elastic scalability required for these intensive tasks. Processing multi-gigabyte 3D models and point-cloud datasets in real time requires significant power, which Google's infrastructure is designed to handle. This allows the platform to scale across a single project or an entire global portfolio of assets.

The partnership aims to solve the problem of fragmented data that typically exists between different stakeholders like contractors and suppliers. By bringing everyone onto one governed platform, the system creates a consistent view for owners. This prevents the loss of information that often happens when a project moves from the construction phase to the operations phase.

The ultimate goal is to provide a standardized framework that can be repeated from one program to the next. By using compliant, standardized frameworks, infrastructure owners can ensure that their data remains organized and accessible. This approach helps manage the most intricate engineering and regulatory datasets in the world more efficiently.