We help optimize what matters most to industrial operations
See how AV Group's industrial facility in Eastern Canada optimizes their wastewater treatment operations with Pani
This video shows how a dissolving pulp and paper mill in Atholville, New Brunswick, Canada is using the Pani platform to reduce operational costs, increase biogas production, monitor and optimize their operational processes, and stay in compliance with local regulations when discharging effluent into the nearby river.
"“It gives us the opportunity to be more proactive on all of the data we have. So, we do have a lot of data, we just don’t have the time. Pani offers us that solution to actually do the trending and do the analysis for us -- it’s like having your own process engineer onsite.”
- Tina McCormack, Safety, Health, and Environment Manager
Serving upstream, downstream, and processes across segments
high purity RO
❌ Inability to predict when membrane assets require service until the issue reaches critical and operational firefighting kicks in.
✔️ AI Coach™ monitors, forecasts, and communicates when, how, and which assets to service (clean, flush, or replace), preventing downtime and extending asset life.
❌ Sensors drift, equipment mis-behaves, and it takes time to respond. Operators often find out too late, and are left doing damage control.
✔️ AI Coach™ uses a digital twin of the entire plant to run simulations, analyze and interpret trends, and predict issues before it's too late.
Upsets & downtime
❌ Operators lack the tools and the time to be proactive. Human error, downtime, missed targets and lost production are common, and costly.
Uptime and continuity
✔️ AI Coach™ predicts potential issues and recommends action to avoid upsets, so operators can save time and focus on taking preventative action.
What does this mean for your facility?
Let's see what's possible 💸
We looked at a large multinational food & beverage facility, where the operators face daily challenges with managing operational complexity and maintenance needs, resulting in costly downtime.
Each year, downtime can amount up to:
costs of $20,000-$30,000 per hour in production losses
burden on personnel and risk to operational continuity
Pani’s analytical tools and recommendations have the ability to:
prevent and reduce downtime with predictive and proactive maintenance
protect the company's top and bottom lines
ensure continuity and boost performance
With a 5% reduction in downtime, out of 500 hours, at $25,000 per hour (the median rate), that would equate to:
25 hours restored to full production
$625,000 in losses avoided
Longer equipment life from better maintenance
Confidence in operational continuity, risk management, and planning
Note: Actual results will vary per plant, depending on the type of plant, level of instrumentation, processes in place, technology feature being used, operator actions etc.