
Envision Systems
Measuring how people flow through cities in real-time, to build better communities and transport networks.
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
Total Funding | 000k |
USD | 2020 | 2022 | 2023 |
---|---|---|---|
Revenues | 0000 | 0000 | 0000 |
% growth | - | - | 100 % |
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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Envision Systems, founded in 2019 by Kanav Batra, operates in the transport management sector, providing solutions based on artificial intelligence and the Internet of Things. Batra's background in the transport and telecommunications industry, where he spent four years delivering engineering projects, provided him with insights into the importance of real-time data for solving urban challenges. The company was established to address the data gap in understanding traffic flow and public transport utilization in real-time.
The core of Envision Systems' offering is its AI-enabled wireless sensors designed to monitor and manage traffic congestion. These sensors can count and track the flow of vehicles, feeding this data to network operators or directly to traffic light systems to optimize vehicle flow and reduce congestion. The technology is capable of detecting multiple objects simultaneously using computer vision. This provides real-time data insights for monitoring transportation networks. The company's clients are primarily transport authorities and cities aiming to improve urban mobility and public safety.
A significant milestone for the company was its selection into the CivVic Labs Accelerator program in mid-2019, which led to a collaboration with the Victorian Department of Transport to test its solution for understanding public transport usage. Following the accelerator, Envision Systems secured a contract to further implement its technology. The company also received a $20K grant from the Melbourne Accelerator Program on May 18, 2020. While the company had grown to a team of four and was working with cities globally, it is now reported as deadpooled.
Keywords: transport management, AI sensors, IoT, traffic congestion, real-time data, smart city, computer vision, transport analytics, urban mobility, public transport