Hohonu provides real-time water level monitoring through a network of ultrasonic and radar sensors, delivering data via APIs and mobile applications. This technology enables communities to respond to flooding risks by comparing live water levels against predefined thresholds, facilitating timely actions such as road closures and vehicle relocations.
Funding
$1.8M 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.
Founders
Product
Problem
Coastal communities and industries lack readily available, real-time data on water levels, hindering effective responses to flooding, storm surges, and changing tidal conditions. Traditional tide predictions rely on historical data and often fail to reflect current conditions accurately, leading to potential miscalculations and delayed responses.
Solution
Hohonu provides a network of internet-connected ultrasonic and radar sensors that deliver real-time water level monitoring via APIs and mobile applications. These sensors capture and transmit live data every six minutes, enabling users to compare current water levels against predefined thresholds and historical trends. The system employs NOAA-approved methods for data management, quality control, tidal harmonic calculations, and predictions. Hohonu's TideCast mobile app provides access to live data from Hohonu sensors and NOAA stations, along with weather conditions and predictive algorithms that leverage machine learning to improve forecast accuracy.
Target Audience
Target users include coastal communities, government agencies, researchers, and industries that require accurate, real-time water level data for flood management, coastal planning, and operational decision-making.
Features
- Real-time water level monitoring using ultrasonic and radar sensors
- Data refreshed every 6 minutes
- Internet connectivity via cellular or satellite
- NOAA-approved data management and quality control methods
- TideCast mobile app for iOS with live data, predictions, and weather conditions
- Proprietary prediction algorithm using machine learning for improved accuracy
- API access for integration with other systems