Anyone working in wastewater treatment knows:
1. Every plant has its own unique characteristics.
2. Its own influent patterns.
3. Its own operational limitations.
4. Its own recurring issues.
There is no universal answer that fits all.
It's all about context !!!
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Maji Agent.
In the past months, we’ve been working on a significant upgrade to the Maji platform - the process AI Agent. This agent has access to all the biological and operational information from every analysis on the platform. That means you can ask questions based only on your own plant’s accumulated insights.
The Biomass AI Agent learns your plant over time. It preserves institutional knowledge and allows you to ask questions based strictly on your own historical analyses.
1. It is not a general co-pilot.
2. It does not give generic answers.
3. It works only on relevant analysis from the specific plant.
You can ask operational questions:
- How has SVI behaved over time?
- When did the sludge age shift significantly?
But also deeper ones:
- What helped the last time Microthrix appeared?
- What changed before the previous foaming event?
- What is the correlation between F:M and settling performance in this plant?
As more analyses are added, the context becomes stronger ---> You can look back at past situations, see what steps were taken, and understand which adjustments actually worked for your specific process.
It's all about context, and context is built over time.