Kando

Startup
Summarized by Halo AI

Kando is a wastewater intelligence company that utilizes IoT, AI, and machine learning to help utilities optimize wastewater ecosystems, improve water quality, and enable sustainable urban management through real-time data insights.

Founded & HQ
Tsur Yigal, Israel
Company size
11-50 employees
Funding
~$30M
IP status
1 patent filed · 1 grant confirmed
Activity highlights
Closed a $10 million Series C investment round in October 2024 to accelerate innovation in wastewater intelligence and enhance global wastewater quality with GenAI.

Kando is a wastewater intelligence company that provides a comprehensive platform designed to optimize wastewater networks and improve water quality. Their solution integrates specialized IoT hardware, such as sensors and automated water samplers placed within collection systems, with cloud-based software that utilizes artificial intelligence, machine learning, and generative AI. By continuously monitoring wastewater quality and dynamics, the platform identifies pollution sources, detects blockages, and tracks infiltration. This end-to-end approach allows the system to process data into actionable, real-time insights, which are delivered to operators through a user-friendly interface or a voice assistant, enabling proactive decision-making and efficient system management.

This technology is vital for utility operators, cities, and environmental management teams aiming to enhance compliance, prevent costly network disruptions, and protect wastewater treatment plant processes. By providing 24/7 visibility and automated event detection, Kando helps organizations mitigate risks, reduce operational costs, and support wastewater reuse initiatives. Founded in 2012 and headquartered in Israel, the company has expanded its operations to the United States, Europe, and Australia, delivering its intelligence platform to support sustainable urban water management and environmental health. Kando has secured significant venture funding to accelerate its innovation in generative AI for the water sector, demonstrating its role as a key partner for utilities seeking to modernize their infrastructure.

AI summary generated on Jun 22, 2026
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For general inquiries

AN
Aviv Nizri
Strategy and Innovation
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