Techknow EditorialReimagining water quality management through AI-driven environmental intelligence
At Techknow, our mission has always been to apply advanced digital technologies to complex, real-world problems. Water quality represents a uniquely challenging domain — one that is influenced by environmental conditions, climate patterns, biological processes, and human activity.
To address this complexity, we partnered with aquatic technology specialists Remote Automation to design a unified solution that brings together environmental science, IoT-based sensing, real-time data processing, and AI-driven prediction models.
By continuously monitoring variables such as oxygen levels, temperature, nutrient concentrations, and weather patterns, the platform creates a living, dynamic picture of water health across time.
This approach enables stakeholders to identify emerging risks early, intervene precisely, and significantly reduce both environmental impact and operational cost.
Nick Butterfield, founder of Remote Automation, explains:
“Historically, water quality management has relied heavily on reactive mechanical solutions. Aerators, pumps, and diffusers are often activated only once conditions have already deteriorated to dangerous levels.”
“In many commercial fisheries, the response has been to operate these systems continuously, running 24 hours a day to avoid catastrophic losses.”
“This approach is extremely energy-intensive and financially unsustainable. In some cases, a single operation may run thousands of aerators simultaneously, generating enormous energy bills while still failing to prevent ecological damage.”
Lawrence Dudley, co-founder of Techknow, adds:
“We recognised early on that the real challenge was not simply mechanical intervention, but intelligence. We needed software capable of understanding environmental patterns, predicting future risk, and triggering action only when it truly matters.”
“Our AI layer transforms vast volumes of raw environmental data into meaningful predictions, alerts, and optimisation recommendations that operators can trust.”
“By reducing unnecessary intervention and enabling targeted responses, the system improves sustainability outcomes while dramatically lowering energy consumption.”
A world-first approach to sustainability
“Water ecosystems are fragile, interconnected systems. Small changes can rapidly cascade into large-scale damage if left unmanaged.”
“By enabling earlier insight and smarter decision-making, this platform represents a fundamental shift in how water resources can be protected at scale — not just in fisheries, but across rivers, reservoirs, and industrial water systems worldwide.”
