Environmental consultancy
Waste characterisation, from the field to reliable data
Databbas runs your characterisation campaigns and waste studies with field applications we built ourselves: offline data entry, data structured at the source, actionable reports.
Our services
From the MODECOM campaign to the yearly follow-up of your waste data.
MODECOM characterisation
Household waste characterisation campaigns following ADEME's MODECOM method.
Learn moreBulky waste characterisation
Characterisation campaigns dedicated to large-size waste — bulky items, furniture, large streams.
Learn moreStudies & diagnostics
Waste-stream analysis, performance diagnostics and recommendations built on field data.
Learn moreWaste data support
Structuring and consolidating your waste data, indicators and long-term follow-up.
Learn moreTools we built ourselves
Where others work with spreadsheets and photos, our teams use field applications designed for characterisation. The result: fewer errors, consistent data, faster reports.
tridata
MODECOM characterisation field app: standardised, customisable nomenclatures, over 100 sub-categories, weighing-slip OCR, fully offline.
dechetri
tridata's twin data-entry app, dedicated to bulky waste characterisation campaigns: bulky items, furniture, large sizes.
Data console
Manages the data produced by tridata and dechetri: organisation, review, then the reports and comparisons clients ask for.
In the field, for real
Sorting on the characterisation table, screening, traced weighings: this is what a Databbas campaign looks like — and where the data we deliver comes from.
Our approach
Field
Campaigns prepared and run with rigour: sampling plan, trained teams, digital entry from the sorting table onwards.
Data
Data structured and checked at the source — standardised nomenclatures, traced weighings, timestamped photos.
Decisions
Readable, actionable reports: waste streams, gaps, concrete recommendations for your waste policies.
Every campaign feeds a reliable base of field data — the one on which tomorrow's models are built.
Our approach to data