Transform Process Uncertainty into Real-Time Quality Control

We help continuous and batch processors eliminate over-formulation, reduce rework, and automate quality control with real-time NIR and FT-NIR analysis.
From raw material verification to closed-loop process control, USTECH turns real-time composition data into production decisions.

<30s
Real-Time Inline Measurement
±0.2%
Precision for Zero Waste
100%
Automated PLC Integration
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The Intelligence Layer Behind Real-Time Process Control

caliX: Next-Generation Chemometrics Workspace

Build, validate, transfer, and deploy calibration models from one unified workspace — without relying on weeks of manual chemometric iteration.

caliX Chemometrics Preprocessing Results

Build

Develop robust calibration models with automated preprocessing and model selection.

Validate

Identify outliers, prevent overfitting, and verify model performance.

Deploy

Transfer validated models directly to production instruments and automation systems.

Explore caliX Suite
Integration

From Spectral Data to Automated Production Control

caliX acts as the intelligence bridge, connecting raw laboratory scans directly to active factory automation.

01

Measure

Capture real-time spectral data from your process.

02

Understand

Convert spectral data into validated composition predictions.

03

Control

Send actionable results to PLC and SCADA systems for automated process adjustment.

Industries We Serve

Tailored Solutions for Key Processing Sectors

Every production process has unique requirements and challenges. We develop tailored solutions designed to integrate seamlessly into existing operations, ensuring minimal disruption and maximum efficiency. By combining advanced technologies with application-specific expertise, we deliver reliable data, actionable insights, and measurable value that help our customers optimize processes, improve product quality, and enhance operational performance.

Sustainable Quality

USTECH Innovations is Here for Your Sustainable Production Processes!

With our precise measurements for solid and liquid products, we ensure the quality standards of your production processes at every stage. Leveraging our spectroscopy technology, we enhance your operational efficiency while contributing to your sustainability goals.

Innovative Spectroscopy Solutions

Our innovative spectroscopy solutions are designed to revolutionize the way data is managed and utilized in various industries. We are committed to providing cutting-edge technology that benefits both businesses and the environment.

Data Management Excellence

At USTECH Innovations, we are driven by innovation to provide top-notch data management solutions. Our data-driven approach enables businesses to make informed decisions and achieve their desired outcomes.

Technology Integration

We integrate next-generation technologies into our solutions to ensure that our clients stay ahead in their industries. We are committed to delivering high-performance and reliable technology solutions.

Live Performance Metrics

USTECH analytical devices operate worldwide, delivering reliable and instant results to optimize production lines. Our systems provide continuous monitoring, enabling real-time adjustments to your manufacturing process.

99.9%
System Availability Target
50+
Plants & Deployments
<60s
Typical Analysis Time
24/7
Continuous Process Monitoring
Real-Time Control

We measure. We interpret. We control.

Collect continuous flow data from production lines, pipelines, and mixers. Our ProLine17EC and ProLine2550 inline spectrometers continuously scan materials inside reactors or pipelines.

By obtaining real-time composition trends for moisture, fat, protein, and chemical content, facilities can automatically adjust valves, dosing pumps, and blenders to ensure every batch meets specs with zero product waste.

Industrial Closed Loop Control Automation
Why Inline NIR

Traditional Methods vs. USTECH Closed-Loop Control

See how real-time inline spectroscopy eliminates the delays, errors, and waste of conventional lab-based quality control.

Criteria Traditional Methods USTECH
Measurement Speed 30–60 min per sample (lab turnaround) < 30 seconds (real-time inline)
Sampling Frequency 2–4 samples per shift Continuous (60 scans/min)
Process Variance ±2.5% deviation from target ±0.2% deviation from target
Waste & Rework Rate 3–8% of total production < 0.5% of total production
Labor Requirement 2–3 lab technicians per shift Fully automated, zero manual sampling
Calibration Manual, requires frequent recalibration AutoML-driven, self-optimizing models
Data Availability Delayed reports, periodic snapshots Real-time dashboards, direct PLC link
Multi-Parameter One parameter per test Simultaneous moisture, fat, protein, starch
Compliance Retrospective batch documentation Continuous traceability & audit trail
ROI Payback — Typically < 6 months
±2.5%
Traditional Variance
±0.2%
USTECH Variance
12x
Improvement Factor

Calculate Your Annual Savings

Financial Return

Proven Financial Return on Investment

By reducing over-formulation safety margins and preventing product rejections, plants routinely recoup their total equipment investment within the first few months. Adjust the parameters on the left to see your estimated financial return.

Estimated Annual Savings

$156,000
Payback Period
5.3 Months
Quality Yield Increase
1.4%
Knowledge

Latest from USTECH Blog

Milk Powder Spray Drying
ARTICLE • APR 29, 2026

Standardizing Moisture in Milk Powder Spray Drying

Why the outlet moisture of a milk-powder spray dryer decides stickiness, caking, shelf life and yield, which variables the operator can move, and how an inline NIR moisture value feeds the control loop.

Pharmaceutical Blending
ARTICLE • MAY 11, 2026

Blend Uniformity Verification in Active Pharmas

Why blend uniformity is a regulated in-process attribute, what thief sampling can and cannot tell you, and what the literature shows about in-line NIR monitoring of powder blending as a PAT tool.

Cattle Feed Production
ARTICLE • FEB 13, 2026

Reducing Ingredient Waste in Cattle Feed

Why cattle feed is over-formulated against ingredient variability, what the literature says about where that variability comes from, and how NIR at intake and at the mixer narrows the margin.

PLS Regression caliX
GUIDE • APR 06, 2026

Introduction to PLS Regression in caliX Suite

A practitioner's walk through a PLS calibration: how the data are split, how the pre-processing and the number of latent variables are chosen by validation, which diagnostics to read, and how the model is kept alive in production.

Closing the Dosing Loop on Analyzer Results with OPC UA
GUIDE • JUL 06, 2026

Closing the Dosing Loop on Analyzer Results with OPC UA

What an analyzer result needs to carry over OPC UA before a PLC may act on it, how dead time and sampling interval shape the PID loop, and where the safety interlocks must sit, with the standards behind each point.

Calibration Transfer Between NIR Spectrometers: Methods and Feasibility
GUIDE • FEB 09, 2026

Calibration Transfer Between NIR Spectrometers: Methods and Feasibility

Why a NIR calibration built on one spectrometer rarely runs unchanged on another, which standardisation and model-adjustment methods the literature describes, and how transfer feasibility is assessed for an instrument family.

Savitzky-Golay Preprocessing
GUIDE • MAY 04, 2026

Understanding Savitzky-Golay Preprocessing

What the Savitzky-Golay filter actually does to a spectrum, why derivatives remove baselines, and how window length and polynomial order should be chosen, with the original and follow-up literature.

Starch Extraction Milling
ARTICLE • JUN 01, 2026

Optimizing Starch Extraction in Wet Milling

Where starch is lost in a corn wet mill, how separation performance is measured, and what published work says spectroscopy can and cannot monitor in slurry streams.

Browse All Publications

Optimize Your Production Facility

Discover how our spectroscopic technology fits your process. Choose an option below to browse our devices, check software calibrations, or request a custom analysis from our chemometrics team.

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