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Leakmited

Leakmited employs artificial intelligence and satellite imagery to detect water leaks in underground pipes, enabling municipalities and utility companies to pinpoint leaks with precision. This technology significantly reduces water loss and lowers maintenance costs by facilitating timely leak identification.

Carrières-sur-Seine, FranceFounded 2019
Updated 3 months ago

Funding

$5.6M 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.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Municipalities and utility companies face significant challenges in detecting and locating leaks in underground water pipes, leading to substantial water loss and increased operational costs. Traditional leak detection methods are often imprecise and time-consuming, resulting in delayed repairs and continued wastage of resources.

Solution

Leakmited offers an AI-powered solution that leverages satellite imagery and network data to precisely identify and locate water leaks in underground pipe networks. By analyzing factors such as pipe age, material, environmental conditions, and historical leak data, Leakmited's algorithms pinpoint areas with the highest risk of leaks. This targeted approach reduces the scope of field investigations, allowing maintenance teams to focus their efforts and resources on the most critical areas. Leakmited provides municipalities and utility companies with the insights needed to proactively address leaks, minimize water loss, and optimize maintenance strategies.

Target Audience

Leakmited primarily serves municipalities, utility companies, and water management agencies responsible for maintaining and optimizing water distribution networks.

Features

  • AI-driven analysis of satellite imagery and utility network data to predict leak probabilities
  • Integration of environmental variables, such as soil moisture and urbanization levels, to enhance prediction accuracy
  • Algorithms trained on a database of over 600,000 leaks across 300,000 kilometers of pipe networks
  • Web-based platform for real-time monitoring of leak detection progress and sensor deployment
  • "Sprint" service for rapid leak detection, reducing water loss by up to 70%
  • "Smart" service for continuous network monitoring using strategically placed acoustic sensors
  • Digital twin capabilities for simulating renovation scenarios and optimizing network upgrades
This profile is AI-generated and may contain inaccuracies.