Compare Brew Control Systems

DiFluid Omix Plus - Coffee Moisture, Water Activity, Density, Structure, and Color Meter

The mobile coffee lab

266,020.54 RSD

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3.5" Touch Screen, 640x320

Color Testing

Distribution histogram
Near-infrared (NIR) imaging
Uneven roast detection
18-20 gram sample

±0.1 Precision

Coffee Quality Testing

Water Activity
Moisture Content

Bulk Density
True Density (Est.)

Screen Size
Diameter (Avg)
Volume/Bean (Avg.)

Air Temperature
Humidity
Atmospheric Pressure
Altitude

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CoffeeOS

Color Analyzer*
Quality Analyzer*
Roast Tracker*
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Notes Manager

DiFluid Omni - Roast Color Meter & Particle Size Analyzer

The barista's best friend

92,118.44 RSD

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2.8" Touch Screen, 320x240

Color Testing

Distribution histogram
Near-infrared (NIR) imaging
Uneven roast detection
15-17 gram sample

±0.1 Precision

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Particle Size Testing

100-2500µm detection
Distribution histogram

CoffeeOS

Color Analyzer*
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Particle Analyzer
Notes Manager

CoffMeterA1

Just a color meter

39,816.08 RSD

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2.3" Touch Screen, 320x240

Color Testing

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Near-infrared (NIR) imaging
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17-19 gram sample

±0.5 Precision

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CoffeeOS

Color Analyzer*
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Notes Manager

The Brew Control System

Dial in with precision

The Brew Control System

Dian in with precision

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Build recipes with true repeatability.

Build your recipe in CoffeeOS.
Use Omni to measure roast color and particle size.
Record your brew with Microbalance, and measure your success with R2 Extract.

Save your recipes and all your data, for free, back in CoffeeOS.

Runs on CoffeeOS

Record Brews and learn from them

Build a recipe from complete scratch, or generate one according to your chosen brew ratio, particle size, and brew time.

Follow the recipe step by step, while CoffeeOS keeps track of everything.

The Brew Recorder marks each step including bloom, individual pours, and agitation.

Convert brew records into recipes to follow again next time.

Measure Color, Record Color.

Omni can measure and display an extremely precise distribution of both coffee color and particle size using a combination of near-infrared and visible light sensors.

A series of algorithms remove noise from the data, producing highly repeatable and accurate results.