We develop non-invasive sensor technologies and data analytics to inform decision-making.
IINCA is committed to sustainable water management, crucial for global climate goals as highlighted by COP27. We are not just conserving water — we're contributing to a more sustainable, energy-efficient future.
Our mission-driven team, is led by former members of the HKU
Water Centre's "Smart Water Auditing" project, who pioneered
the core technologies behind the successfully applied
solutions for domestic and non-domestic settings. Our
expertise combines technical excellence and environmental
stewardship; guided by innovation, integrity, and
sustainability.
At our heart, we are problem-solvers driven by a shared vision
— a world where water is responsibly managed, and the next
generation inherits a healthier, more resilient planet.
CEO and Co-Founder
CTO and Co-Founder
Technical Lead and Co-Founder
Profile major users; Pinpoint savings: Our smart water management system analyses consumption patterns of major water users, enabling utilities to identify inefficiencies and implement targeted strategies for significant water savings.
Don't let water slip under your eyes: A non-invasive monitoring solution that tracks water consumption and leaks to optimise water usage in commercial buildings.
Upgrade using our devices and services.
We can seamlessly upgrade any existing offline water meter to become a smart meter, enabling automated data collection for smart water management.
Our AI-driven system can analyse water usage patterns and offer targeted water conservation suggestions at household and building levels. Compatible with existing water meters and off-the-shelf IoT sensors.
Our battery-powered data logger works with a wide range of sensors. Suitable for environmental and industrial sensing applications in remote or deep indoor locations.
We specialise in developing on-premise and cloud-based backend systems and IoT solutions for water utilities and commercial customers.
Retrofitting existing set up for easy adoption.
Works with all existing water meter models.
Developed from ground-truth data gathered locally.
Fine-grained data for analytics = Insights.