Valerann provides a data fusion platform that enables road operators to monitor and manage traffic incidents in real-time using AI and machine learning. This technology enhances incident response times by 25% and increases the ability to respond to critical incidents by 40%, ultimately reducing key safety incidents by up to 14%.
Funding
$17M 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.
Founders
Product
Problem
Road operators often struggle with fragmented data sources and a lack of real-time insights, hindering their ability to proactively manage traffic incidents and ensure road safety. Traditional traffic management systems can be reactive, leading to delayed responses and increased risks of accidents.
Solution
Valerann offers Lanternn, an AI-powered data fusion platform that provides road operators with a unified view of their road networks, enabling proactive traffic management and improved incident response. The platform ingests and processes data from various sources, applying AI and machine learning algorithms to deliver actionable insights in real-time. By transforming road operations from reactive to proactive, Lanternn helps operators detect risks earlier, respond to incidents faster, and ultimately reduce accidents and improve traffic flow. The system integrates with existing advanced traffic management systems (ATMS) via API or through its own intuitive web interface.
Target Audience
The primary target audience includes road operators, traffic authorities, and transportation agencies responsible for managing and maintaining road networks.
Features
- Real-time data fusion from multiple sources, including IoT sensors, cameras, and third-party data feeds
- AI-powered incident detection and prediction algorithms
- Intuitive web interface designed for rapid response and mitigation
- API integration with existing ATMS and other traffic management systems
- Customizable alerts and notifications for critical events
- Historical data analysis and reporting for strategic decision-making
- Cloud-based infrastructure for high availability, scalability, and security