Wasteer GmbH

Wasteer uses AI computer vision to give EfW plants a live, shared view of what is arriving, what sits in the bunker and where issues come from. 

The result is fewer incidents, steadier operation and clear evidence for suppliers.
Used by 20+ EfW sites across Europe, including Enfinium, EEW, A2A, Remondis and Wien Energie. Our models learn from more than 5 million tonnes of waste analysed each year.

What we show
- Detect contaminants early: gas bottles, batteries, cylinders, concrete, furniture, or any other item that the plant defines as a contaminant.
- Analyse every unloading: material fractions with CV estimates plus HCl and SO₂ risk indicators.
- Trace back to supplier: ANPR linked to gate, time and location for accountability and contract compliance.
- Stabilise the bunker: continuously updated CV map across the bunker to guide mixing and reduce swings.

Why it matters
Safety and uptime. Higher throughput and steadier efficiency. Composition insight for upcoming ETS regulations and supplier discussions.


How it works
1. We install cameras on site.
2. AI analyses the incoming waste in real time.
3. Alerts notify the right stakeholders for events such as contaminants and calorific value.
4. Every event is time stamped and stored. Contaminants are linked to gate, licence plate and supplier. Dashboards summarise key data points like average CV per day and per supplier.

Modules
WS Scan contaminant detection
Composition analysis with CV, HCl and SO₂ risk
ANPR supplier traceback
Bunker management with a practical digital twin of CV across the bunker