Monday, November 4, 2024

Simerse Selected by Google for Startups AI Academy: American Infrastructure

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In a significant development for the infrastructure and built world industries, Google for Startups has announced the selection of Simerse for its AI Academy: Infrastructure program. Simerse is building the AI Platform to Map Infrastructure. Simerse helps AECs, utilities, and construction firms capture, map, and collaborate on infrastructure projects.

What is the Google for Startups AI Academy: American Infrastructure?

According to Google for Startups, the AI Academy: American Infrastructure is a “three-month program designed to support high-potential startups using AI to improve public works and foundational systems across the United States.”

In addition, the program includes a curriculum with Google’s People + AI Research (PAIR) team. Furthermore, startups receive training on advanced sales strategies and go-to-market strategies. Selected startups such as Simerse will receive access to Google AI tools, mentorship from experts, and helpful connections.

Simerse was among 15 startups selected for the prestigious Google for Startups program. You can read more about the selection here.

The Simerse AI Platform to Map Infrastructure

Simerse is building the AI Platform to Map Infrastructure, transforming the way architecture, engineering, and construction (AEC) firms, utilities, and construction companies manage and document their critical assets. In industries where maintaining accurate and up-to-date data records is a constant challenge, Simerse offers a groundbreaking solution that harnesses the power of advanced computer vision technology.

One of the standout features of the Simerse platform is its ability to utilize 360° panoramic images, which provide a comprehensive and detailed view of infrastructure assets. This full-field view allows organizations to document their asset inventories with fidelity and completeness. Gone are the days of incomplete or outdated records; with Simerse, digital images of infrastructure assets are captured quickly, ensuring visual and digital documentation is recorded and easily accessible.

Moreover, Simerse goes beyond just documentation. The platform’s computer vision AI models can automatically identify and categorize infrastructure assets from the captured imagery. This automated process can drastically reduce the time and effort required to manage large-scale infrastructure projects, allowing teams to focus on higher-level tasks. By leveraging Simerse’s AI-driven capabilities, organizations can efficiently geolocate and inventory their assets, leading to faster, more streamlined asset management workflows.

This combination of asset documentation and AI-based infrastructure detection positions Simerse as an essential tool for infrastructure management. Whether it’s mapping the energy distribution grid with low-cost cameras, documenting public work or transit assets, or managing large-scale infrastructure projects, Simerse provides the technology, speed, and collaboration needed to meet the demands of modern infrastructure projects.

Source: Simerse

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