Accurate grading target
The production Agrivero site positions VeroLab around 99% accurate green coffee grading results.
Green coffee grading.
Made objective.
VeroLab scans up to 500g of green coffee, analyzes each bean from multiple sides, and turns the sample into a structured quality record in minutes.
At a glance.
A device, AI model, and web app built for one repeatable sample record.
The production Agrivero brief frames VeroLab around 99% accurate grading, four-minute sample turnaround, and 360-degree bean imaging.
Agrivero connects controlled device capture, bean-level computer vision, and web-based reporting so quality teams can compare green coffee samples with the same evidence.
Use VeroLab at origin, in trading operations, or in lab intake to turn each sample into a consistent quality record.
Sample turnaround
Results are designed to be available on the device screen and in the Agrivero web app within four minutes.
Sample capacity
The workflow supports green coffee samples up to 500 grams without additional lab equipment.
Bean capture
VeroLab scans each bean from multiple sides before AI analysis and quality reporting.
Your quality lab. At origin.
A shared coffee record, not another opinion.
Pilot VeroLab with real samples, real handling constraints, and the decisions your team already makes every day.
SCAGCACOBNYOrigin guidelines
Quality report. 01 02 03
Three views of quality, connected in one sample record.
Screen sizes, visible defects, and colour are the primary outputs of every report. Each view turns bean-level analysis into evidence a quality team can review and share.
Screen sizes
Compare the sample by count and weight across standard screens.
Defects
Review SCA classifications, defect weight, share, and Full Bean Equivalent.
Colors
Read the average bean colour and its RGB distribution across the sample.
Screen sizes Size distribution
by weight Visible defects SCA defects
by class 24.31%
175 classified defects 64 FBE
- Broken / chipped / cut / flat7.92%
- Part black5.69%
- Full black3.47%
Colour analysis RGB distribution
n = 722 Average colour #635C45
R 99
G 92
B 69
Secondary measurements
Yield factor Volume Density
Available alongside the core report when the workflow calls for deeper physical analysis.
Workflow. 01 02 03
A controlled lab workflow for coffee quality data.
Manual grading still carries too much variance. Agrivero is building the operating layer that captures samples consistently, classifies visible characteristics, and keeps the result usable after the cupping table.
Load sample
Prepare the sample, place it in the controlled device workflow, and start a repeatable capture cycle.
Scan and classify
The device captures bean-level visual data and classifies visible defects, size, and color characteristics.
Review record
The web app turns the scan into an operational quality record for comparison, export, and decision making.
Why it matters.
Quality data should travel with the coffee.
- Streamline quality control across organizations and supplier networks.
- Reduce bottlenecks in quality labs and free Q Graders for roasting and cupping.
- Increase trust and reduce friction with suppliers and buyers.
- Use quality data to support production, trading, and roasting decisions.
Built for. 
Producers, traders, and roasters can work from the same evidence.
/market 001
Producers
Create objective quality records, reduce dispute risk, and communicate quality with evidence.
/market 002
Traders
Compare lots faster and standardize assessment across origins, warehouses, and buyers.
/market 003
Roasters
Receive cleaner incoming quality data and improve purchase decisions before roasting.
Dive deeper.
Explore the workflow with the same source material as the current site.
Next.
Pilot the workflow with real samples and operational constraints.
Tell us where grading variance creates cost, delay, or dispute risk. We will map the VeroLab workflow against your sample volume and decision process.