SwissInspect

SwissInspect offers PRIMA, an AI-powered web application that creates traceable digital twins of infrastructure and buildings using deep learning and computer vision. This platform enables civil engineers and asset owners to monitor asset conditions over time, classify damage, and generate reliable inspection reports for informed maintenance decisions.

Traction 6/10

Lausanne, Switzerland · HQ

Founded 202161K+ followers

Artificial Intelligence
Data & Analytics
Construction Technology
Enterprise Software
Software Only

Updated 23 months ago

Funding

Raised to date

$100.2KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

2 founders

Amir Rezaie

CEO

Katrin Beyer

Founder

Product

Problem

Inspecting infrastructure and buildings for damage is traditionally a manual, time-consuming process, often relying on subjective assessments and lacking a comprehensive, traceable record of asset conditions. This can lead to inconsistent reporting, delayed maintenance, and increased risks associated with undetected structural issues.

Solution

SwissInspect offers PRIMA, an AI-powered web application that automates the creation of traceable digital twins of infrastructure and buildings. Using deep learning and computer vision, PRIMA analyzes image data from various sources, including drones, to generate detailed 3D textured meshes and simplified component models. The platform quantifies and tracks asset conditions over time, automatically classifying damage types and measuring their extent. PRIMA then generates reliable inspection reports with traceable damage information, enabling civil engineers and asset owners to make data-driven maintenance decisions and accurately assess asset valuation.

Target Audience

The primary target audience includes civil engineers and asset owners responsible for the inspection, maintenance, and management of infrastructure and building assets.

Features

AI-driven damage classification using deep learning and computer vision
Generation of geometric digital twins from image data
Quantification and tracking of asset condition over time
Automated creation of online inspection reports
Support for diverse image data, including RGB and thermal imagery
Integration of structural engineering insights for accurate analysis