Qloo
Qloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata.
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Borealis
All stakeholder engagement activities can be managed from one platform. Additional modules can be added to strengthen governance, environment, and social areas. Borealis' Stakeholder Engagement module gives you the tools to create more effective engagement plans, strengthen relationships with stakeholders, and align processes with industry best practice. To simplify your day, the Stakeholder Engagement module centralizes all stakeholder information and makes it easily accessible.
Build stakeholder trust with a proven methodology
Plan
Connect engagement strategy to execution. The mapping tool in Borealis makes it easy to analyze stakeholders to prioritize the allocation of resources.
Engage
Communicate with stakeholders in a more relevant and timely manner. Borealis uses AI-driven machine learning to keep records clean and up-to-date.
Measure
Prove compliance with ever-evolving standards. Borealis lets you easily track and progress, generate reports and documentation, and demonstrate the impacts of your efforts.
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DC-E DigitalClone for Engineering
DigitalClone®, for Engineering is the only software that integrates multiple scales of analysis into a single package. It is the world's best gearbox reliability prediction tool. DC-E, in addition to the modeling and analysis capabilities at the level of the gearbox and the gear/bearing, is the only software that models fatigue life using detailed, physics-based models (US Patent 10474772B2).
DC-E allows the construction of a digital twin of a gearbox. This includes all stages of the asset's lifecycle, from design and manufacturing optimization to supplier selection to failure root cause analysis to condition based maintenance and prognostics. This computational environment reduces the time and cost of bringing new designs to market and maintaining them over time.
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Sync Technologies
SyncTech is committed to delivering cutting-edge solutions that enhance business operations, improve productivity, and lower the expenses and time associated with traditional practices in the construction and building insurance sectors. Their digital twin service portal provides a swift and cost-effective method for accessing both internal and external 3D models or digital twins of properties. By utilizing Reality Capture technology, they generate accurate 3D building models through laser scanning and photogrammetry, which accelerates the claims management process for building insurance while minimizing rework, waste, and delays in construction by effectively documenting existing conditions. Additionally, the Field to BIM or Reverse Engineering service involves creating a Revit or CAD model of an existing structure to facilitate milestone tracking in construction projects. This approach allows teams to conduct virtual inspections, identify potential issues, retrofit buildings, and compare them to the original design, ultimately leading to improved project outcomes. With these innovative tools, SyncTech is transforming the way the construction industry operates, paving the way for a more efficient future.
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