
GridMatrix Technologies
Equipping cities with AI powered software for intelligent traffic congestion, accident, and emissions reduction.
USD | 2021 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | 60 % | 238 % |
EBITDA | 0000 | 0000 | 0000 |
Profit | 0000 | 0000 | 0000 |
EV | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 |
Source: Dealroom estimates
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GridMatrix is a startup that operates in the transportation sector, specifically focusing on digital infrastructure. The company's primary offering is a cloud-based software platform that can be integrated with any existing roadway sensor. This unique compatibility allows the platform to transform these sensors into continuous data streams, providing valuable insights on traffic congestion, signal performance, emissions, and safety data.
The primary target market for GridMatrix is traffic engineers. The software is specifically designed to help these professionals tackle some of their most frequent and complex challenges. By providing real-time data and insights, GridMatrix's platform enables traffic engineers to make informed decisions and implement effective solutions.
The company operates on a B2B (business-to-business) model, serving clients in the transportation and infrastructure sectors. While the exact details of their revenue model are not publicly available, it can be inferred that the company generates income by selling access to its software platform and potentially offering additional services such as data analysis and consulting.
In terms of market positioning, GridMatrix operates in the growing field of smart transportation infrastructure. As cities around the world look for ways to improve traffic management and reduce emissions, the demand for data-driven solutions like the one offered by GridMatrix is likely to increase.
Keywords: Digital Infrastructure, Transportation, Cloud-Based Software, Roadway Sensors, Data Stream, Traffic Congestion, Signal Performance, Emissions, Safety Data, Traffic Engineers.