Our scale-up company aims to leverage AI and Machine Learning to enhance the efficiency and effectiveness of water treatment processes. We are seeking a specialized AI developer to create a predictive analytics solution that can analyze data from various sensors and historical records to optimize chemical usage, reduce energy consumption, and improve water quality in real-time.
Municipal water authorities and private companies managing large-scale water treatment facilities looking for efficient and reliable solutions to improve operational efficiency and compliance with environmental regulations.
The current water treatment processes often suffer from inefficiencies due to suboptimal chemical usage and energy consumption, leading to increased operational costs and potential non-compliance with quality standards.
The target audience is under regulatory pressure to meet stringent water quality standards and is keen to adopt innovative solutions to gain a competitive advantage and achieve cost savings through more efficient operations.
Failure to address these inefficiencies could result in higher operational costs, regulatory fines, non-compliance with environmental standards, and deterioration in service quality, ultimately affecting public health and company reputation.
Manual monitoring and traditional SCADA systems are the current alternatives, but they often lack real-time analytical capabilities and predictive insights, making them less effective in optimizing complex, dynamic processes.
Our solution offers real-time predictive analytics tailored specifically for water treatment processes, integrating seamlessly with existing IoT infrastructure, thus providing a cost-effective pathway to improved efficiency and compliance.
Our go-to-market strategy involves partnerships with environmental consulting firms, direct outreach to municipal authorities, and participation in industry conferences to showcase our solution's capabilities. We will also leverage digital marketing campaigns targeted at decision-makers in water management.