
Kando
AI wastewater intelligence for utilities and municipalities
About
Kando is an Israeli company that turns wastewater data from underground sewer networks into actionable intelligence. IoT sensor units collect live data inside sewer networks, and its platform uses AI, machine learning and LLMs to detect pollution at the source, track contaminants and protect wastewater treatment plant processes.
Its GenAI application STREAMi supports utilities in decision-making and regulatory compliance, with long-term municipal partnerships across the US, Europe and Australia (including Scottish Water Horizons). Founded in 2012 with $26M raised. Coverage beyond company announcements is thin, so independent performance evidence is limited.
What it can do
- IoT wastewater sensor network
- AI pollution and anomaly detection
- Pollution source tracking and mapping
- Real-time event alerts
- WWTP influent quality protection
- GenAI decision assistant (STREAMi)
- Long-term trend analytics
Setup
- Engage Kando for a wastewater program
- Deploy IoT sensor units across the sewer network
- Connect the analytics engine and dashboards
- Configure real-time event alerts and pollution tracking
- Use GenAI assistant for compliance and operations decisions
Prerequisites
Utility or municipality contract; sewer network access
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Municipal partnerships US/Europe/Australia; Scottish Water Horizons 2022; $26M raised; founded 2012; Thin independent performance evidence beyond company announcements. License: SaaS; commercial contract.
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 6.0/10
- Openness · license + docs
- 5.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Municipal partnerships US/Europe/Australia; Scottish Water Horizons 2022
- · $26M raised; founded 2012
- · Thin independent performance evidence beyond company announcements
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.