Smarter Water Treatment Starts With Insight
Detect inefficiencies, optimize chemical dosing, and prevent equipment issues — with AI that enhances compliance and process stability.
Dairy processors face a unique blend of operational complexity and quality control demands. From pasteurization to fermentation, CIP to packaging, every step must balance hygiene, efficiency, and precision.
MontBlancAI empowers plant teams to detect anomalies early, reduce unplanned downtime, and continuously improve yield — without overwhelming operators with alerts or manual analysis.
The Challenges
Urban water utilities in North America lose approximately 20–30% of treated water through leaks in aging infrastructure.
Energy costs can constitute up to 60% of a wastewater treatment plant's operational expenses, with pumping systems being the primary energy consumers.
Manual root cause analysis can take up to 5 days per incident, delaying resolution and increasing production risk.
The benefits
How Our Platform Optimizes Your Production
Track & Trace
Ensure product quality and compliance with end-to-end batch tracing. Quickly and easily trace defective products back to their sources with historical data from batch tracing.
Threshold Alerts
Let our AI-powered anomaly detection algorithms identify faults in your production process. Get instant notifications when issues arise so you can take immediate action and minimize waste.
How Leading Companies Transform their Operations
Identifying Defects Early
The Power of Predictive Maintenance
A huge range of issues has the potential to delay, disrupt, and derail manufacturing operations. If you can identify these issues at the earliest opportunity, you can maintain an efficient production process. Traditional monitoring methods struggle to pick up issues such as performance deviations, short-term disruptions, and the failure of critical components such as filtration membranes. Our approach to predictive solutions provides a proven answer to this problem.
Enhanced OEE
10% Uplift for a Filling Machine
A manufacturing facility was struggling with filling line inefficiencies, despite seemingly stable monthly performance reports. Frequent, untracked short stops and unclear performance fluctuations were silently eroding productivity. By leveraging MontBlancAI’s advanced production monitoring tools, the facility uncovered and addressed these issues, delivering a remarkable 12.4% increase in Overall Equipment Effectiveness (OEE) within just six weeks. This case study details the challenge, the innovative approach, and the eventual results.
UF System Optimization
70% Uptime Increase
A major production facility approached us to address the operational issues behind a significant downtime rating. When the facility’s management first assessed the situation, the maximum continuous runtime was a paltry 13 hours before a Cleaning-in-Place cycle was needed. The relatively low uptime witnessed was having a seriously detrimental impact on both operational efficiency and capacity. With the help of MontBlancAI, the team implemented a series of targeted optimizations using, among other things,AI-powered operational intelligence tools. As a result, the facility significantly increased overall efficiency and capacity. Here’s how they did it with the help of our cutting-edge operational intelligence tools.
