MODE Adds Two Apps to BizStack for Automatic Flood Risk Detection at Construction Sites
MODE, Inc., a startup from Silicon Valley that supports the utilization of site data, has added two new applications, the "Turbid Water Tank Level Detection App" and the "Inundation Detection App," to its site DX platform "BizStack." These apps support early detection of water leakage, inundation, and overflow risks and prompt initial responses at construction, demolition, and civil engineering sites.
📋 Article Processing Timeline
- 📰 Published: June 9, 2026 at 18:00
- 🔍 Collected: June 9, 2026 at 09:21
- 🤖 AI Analyzed: June 12, 2026 at 16:52 (79h 31m after Collected)
MODE, Inc. (Headquarters: California, USA; Japan Branch: Chiyoda-ku, Tokyo; CEO: Manabu Ueda; hereinafter referred to as MODE), a startup from Silicon Valley that supports the utilization of site data, today announced the addition of two new applications to its site DX platform "BizStack": the "Turbid Water Tank Level Detection App" and the "Inundation Detection App," which support real-time monitoring of flood risks.
This will support early detection of risks such as water leakage, inundation, and overflow at sites for construction, demolition, and civil engineering, as well as prompt initial responses.
Background
According to the Ministry of Land, Infrastructure, Transport and Tourism, flood damage in Japan in 2024 amounted to approximately 768.8 billion yen (preliminary figures), remaining at a high level annually. Furthermore, data from the Japan Meteorological Agency shows that the number of heavy rainfall events exceeding 50 mm per hour has increased 1.5 times over the past 50 years, making preparedness for flood risks at construction sites increasingly important each year. However, many sites still rely primarily on visual inspections, and it is difficult to detect abnormalities early in locations that cannot be constantly monitored by humans or areas that are difficult to access.
In response to these challenges, MODE has developed two apps that utilize IoT sensors and real-time notifications to support early detection of flood risks and prompt initial responses.
About the "Turbid Water Tank Level Detection App"
In intermediate tanks and raw water tanks used to send turbid water to treatment facilities, there is a risk of water overflowing to the outside due to the inflow of turbid water exceeding the drainage capacity of submersible pumps or a sudden increase in water volume caused by heavy rain. The outflow of turbid water can lead to significant risks such as environmental impact on the surrounding area, administrative guidance, and suspension of construction work.
The "Turbid Water Tank Level Detection App" uses a distance sensor installed at the top of the tank to measure the distance to the water surface in real-time, and sends an alert notification when the water level approaches a dangerous level.
This allows for a grasp of the situation before overflow occurs and enables prompt implementation of necessary measures, such as adding submersible pumps or adjusting inflow volume.
About the "Inundation Detection App"
Inundation risks exist at each site in areas where "water should not enter," such as water seeping into adjacent areas during demolition work or rainwater entering underground pits during building and civil engineering work. In particular, inundation around seismic isolation rubber in underground pits can lead to equipment deterioration and loss of function.
On the other hand, checking underground pits often requires entering narrow spaces, and slight inundation can be difficult to detect visually, leading to its discovery after the damage has spread.
The "Inundation Detection App" installs a ribbon-shaped sensor that generates electricity and sends notifications to BizStack when it comes into contact with water, allowing for real-time detection of water intrusion even in areas that are difficult for people to access or in wide areas.
This enables prompt response to the site and addition of submersible pumps before the damage spreads, and also contributes to reducing the burden of regular patrols.
What is BizStack?
"BizStack" is an IoT platform that centrally integrates real-time site data and data from existing systems, realizing operational efficiency and safety improvements through intuitive operations utilizing AI.
It connects diverse data generated at "sites" such as construction, manufacturing, and logistics, and can collect and analyze information obtained in real-time from IoT data from sensors and cameras, existing business systems, SaaS, etc.
Service Site
About MODE
MODE is a startup from Silicon Valley that develops and provides "BizStack," which supports the integration of real-time site data. It supports the DX of many companies with an approach based on digital technology and on-site understanding to address challenges such as labor shortages and the personalization of operations faced by sites in construction, manufacturing, logistics, and other industries.
■ Company Overview
Company Name: MODE, Inc.
Representative: CEO / Co-Founder Manabu Ueda
Location: 1840 Gateway Dr. Suite 250 San Mateo, CA 94404 USA
Established: July 2014
Business Activities: Planning, development, and provision of the IoT platform "BizStack"
URL: https://www.tinkermode.jp
This will support early detection of risks such as water leakage, inundation, and overflow at sites for construction, demolition, and civil engineering, as well as prompt initial responses.
Background
According to the Ministry of Land, Infrastructure, Transport and Tourism, flood damage in Japan in 2024 amounted to approximately 768.8 billion yen (preliminary figures), remaining at a high level annually. Furthermore, data from the Japan Meteorological Agency shows that the number of heavy rainfall events exceeding 50 mm per hour has increased 1.5 times over the past 50 years, making preparedness for flood risks at construction sites increasingly important each year. However, many sites still rely primarily on visual inspections, and it is difficult to detect abnormalities early in locations that cannot be constantly monitored by humans or areas that are difficult to access.
In response to these challenges, MODE has developed two apps that utilize IoT sensors and real-time notifications to support early detection of flood risks and prompt initial responses.
About the "Turbid Water Tank Level Detection App"
In intermediate tanks and raw water tanks used to send turbid water to treatment facilities, there is a risk of water overflowing to the outside due to the inflow of turbid water exceeding the drainage capacity of submersible pumps or a sudden increase in water volume caused by heavy rain. The outflow of turbid water can lead to significant risks such as environmental impact on the surrounding area, administrative guidance, and suspension of construction work.
The "Turbid Water Tank Level Detection App" uses a distance sensor installed at the top of the tank to measure the distance to the water surface in real-time, and sends an alert notification when the water level approaches a dangerous level.
This allows for a grasp of the situation before overflow occurs and enables prompt implementation of necessary measures, such as adding submersible pumps or adjusting inflow volume.
About the "Inundation Detection App"
Inundation risks exist at each site in areas where "water should not enter," such as water seeping into adjacent areas during demolition work or rainwater entering underground pits during building and civil engineering work. In particular, inundation around seismic isolation rubber in underground pits can lead to equipment deterioration and loss of function.
On the other hand, checking underground pits often requires entering narrow spaces, and slight inundation can be difficult to detect visually, leading to its discovery after the damage has spread.
The "Inundation Detection App" installs a ribbon-shaped sensor that generates electricity and sends notifications to BizStack when it comes into contact with water, allowing for real-time detection of water intrusion even in areas that are difficult for people to access or in wide areas.
This enables prompt response to the site and addition of submersible pumps before the damage spreads, and also contributes to reducing the burden of regular patrols.
What is BizStack?
"BizStack" is an IoT platform that centrally integrates real-time site data and data from existing systems, realizing operational efficiency and safety improvements through intuitive operations utilizing AI.
It connects diverse data generated at "sites" such as construction, manufacturing, and logistics, and can collect and analyze information obtained in real-time from IoT data from sensors and cameras, existing business systems, SaaS, etc.
Service Site
About MODE
MODE is a startup from Silicon Valley that develops and provides "BizStack," which supports the integration of real-time site data. It supports the DX of many companies with an approach based on digital technology and on-site understanding to address challenges such as labor shortages and the personalization of operations faced by sites in construction, manufacturing, logistics, and other industries.
■ Company Overview
Company Name: MODE, Inc.
Representative: CEO / Co-Founder Manabu Ueda
Location: 1840 Gateway Dr. Suite 250 San Mateo, CA 94404 USA
Established: July 2014
Business Activities: Planning, development, and provision of the IoT platform "BizStack"
URL: https://www.tinkermode.jp
FAQ
For which types of construction sites are these new apps useful?
They are useful for construction, demolition, and civil engineering sites where there is a risk of water leakage, inundation, or overflow. They are particularly effective for detecting risks in areas that cannot be constantly monitored by humans or are difficult to access.
How do the apps detect flood risks?
The "Turbid Water Tank Level Detection App" uses a distance sensor to detect water levels, and the "Inundation Detection App" uses a ribbon sensor to detect water intrusion, issuing alerts when danger approaches.
What are the specific benefits of implementing these apps?
Benefits include early detection of flood damage and prompt initial response, prevention of damage spread, reduction of regular patrol burden, and mitigation of environmental impact on surrounding areas.
What is MODE's BizStack platform?
It is an IoT platform that centrally manages site data and utilizes AI to improve operational efficiency and safety.
How is this technology expected to evolve in the future?
Applications are expected for detecting site risks beyond flooding and for broader infrastructure management. It will contribute to the overall DX advancement in the construction industry.