The startup develops autonomous system software that aggregates and analyzes spatial data from sources such as autonomous vehicles and high-definition mapping using machine learning and cloud computing. This technology enables decision-makers to access actionable insights from complex three-dimensional data, enhancing their ability to make informed choices.
Funding
$4.2M raised to dateRaised 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.
LVTRFounders
Product
Problem
Organizations face challenges in maintaining accurate and up-to-date inventories of infrastructure assets, especially in dynamic environments. Traditional methods of data collection and analysis are often time-consuming, costly, and lack the precision needed for effective decision-making.
Solution
Allvision provides a platform for automated asset inventories and infrastructure analytics, leveraging machine learning and computer vision to process spatial data from various sources, including autonomous vehicles, GIS mapping platforms, and aerial imagery. The platform creates high-definition, time-based asset inventories, enabling users to monitor and analyze geospatial models of infrastructure assets on demand. By transforming real-world data into interactive 3D representations, Allvision empowers organizations to improve operational efficiency, reduce costs, and make informed decisions.
Target Audience
The primary target audience includes organizations involved in urban mobility, infrastructure management, rail automation, and 5G rollout, as well as government agencies and commercial enterprises responsible for asset management and maintenance.
Features
- AI-driven enrichment platform for locating and analyzing critical infrastructure assets
- High-precision 3D point clouds and panoramic imagery for detailed asset modeling
- Web-based portal for accessing and interacting with geospatial data
- Cloud-based GIS database for storage, augmentation, and exploration of data
- API access for integration with existing systems
- Change detection and monitoring capabilities for tracking asset conditions over time
- Customizable data capture frequency for specific time-based analysis