Aren
Financials
Estimates*
USD | 2022 | 2023 |
---|---|---|
Revenues | <1m | <1m |
% growth | - | 9 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | Spinout | ||
N/A | N/A | Seed | |
N/A | N/A | Seed | |
$2.4m | Seed | ||
$2.0m Valuation: $12.0m | Seed | ||
Total Funding | $4.4m |
Related Content
Recent News about Aren
EditAREN is a technology startup that operates in the civil engineering industry, leveraging advanced technologies such as artificial intelligence (AI), computer vision, and deep learning to monitor and manage infrastructure assets. The company's patented technology aims to minimize the risk of infrastructure failure, prioritize repairs, and optimize infrastructure spending.
AREN's primary clients are likely to be government bodies, civil engineering firms, and other organizations responsible for the maintenance and management of infrastructure assets. The company operates in a market where trillions of dollars are spent annually on infrastructure, but a significant portion of this investment is inefficiently used due to bottlenecks, lack of innovation, and market failures.
AREN's business model revolves around providing a cost-effective, automated toolset that can de-risk the management of civil infrastructure assets. This toolset uses computer vision and machine learning to assess the condition of infrastructure assets, such as bridges, and identify any potential risks. The technology is designed to be simple and easy to use, with data collection as straightforward as taking photos with a smartphone. This allows for quicker and safer asset assessments, potentially saving both time and money for clients.
The company generates revenue by selling access to its patented technology and toolset. Given the significant infrastructure gap and the regulatory requirements for annual infrastructure assessments in countries like the United States, there is a substantial market for AREN's services.
Keywords: Civil Engineering, Infrastructure Management, Artificial Intelligence, Computer Vision, Deep Learning, Asset Assessment, Patented Technology, Cost-Effective, Automated Toolset, Infrastructure Spending Optimization.