
ITC
At ITC, we build Artificial Intelligence software to manage traffic.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor | €0.0 | round |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | €5.0m | Series A | |
Total Funding | 000k |
USD | 2022 | 2023 |
---|---|---|
Revenues | 0000 | 0000 |
% growth | - | 255 % |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Intelligent Traffic Control Ltd (ITC) is a technology company that provides AI-driven software solutions to optimize urban mobility. The company was founded by two AI engineers, Aharon and Dvir, who developed the technology from an academic initiative aimed at reducing traffic congestion.
ITC's core product is a software platform that integrates with existing CCTV infrastructure to analyze and predict traffic patterns with high precision. This allows city traffic controllers to manage traffic flow in real-time without the need for significant hardware installations or large capital expenditures. The system identifies and classifies road users and mobility patterns, streaming data directly to a dashboard for immediate management capabilities. The technology features a long-detection range, enabling a single camera to analyze traffic up to 650 meters away. The software's features include automated pattern generation, policy enforcement, accident detection, and the ability to run simulations to predict and plan interventions.
The company's business model is centered on providing a cost-effective, end-to-end solution for municipalities and traffic policymakers. By leveraging existing camera networks, ITC helps clients lower congestion, reduce carbon emissions, and improve road safety. The platform is designed to be highly adaptable, allowing for customized solutions to meet specific city policies and operational requirements.
Keywords: traffic management, AI software, smart city technology, urban mobility, traffic flow optimization, intelligent traffic control, CCTV analytics, congestion reduction, road safety, real-time traffic data, mobility patterns, vision-based analytics, traffic simulation, sustainable mobility, policy enforcement