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Built for sensor-heavy, continuous processes

Water, F&B, pharma utilities, chemicals.
Begin with
an audit, prove value in a pilot, then scale.

Aerial view of a modern industrial water purification facility with advanced filtration and treatment systems

QUANTARO

Real-Time Insights & Predictive Maintenance

Quantaro is an AI-powered platform that helps you predict, optimize across water, food & beverage, pharma utilities, and chemicals.

01

Real-Time Monitoring

Live KPI Overview

See live KPIs across all systems, from pressure and flow to rejection and output.

02

Predictive Maintenance

Predictive Maintenance Alerts

Catch fouling and scaling early with smart alerts and recommended CIP timing.

03

Cost Optimization

Chemical Usage & CIP Optimization

Reduce energy, chemical, and maintenance costs without sacrificing performance.

04

Digital Twin Simulation

Digital Twin Simulation

Test changes virtually before applying them in real operations.

AI Solutions for Real Industrial Processes

Quantaro delivers measurable improvements across water treatment, food & beverage, pharma utilities, and process industries.

01

Water & Wastewater (RO/UF/NF/MBR)

MTC, ΔP, surrogate salinity; fouling/scale warning; CIP timing; pump health.

02

Food & Beverage

CIP cycles, pasteurizers, fillers; hygiene-critical downtime; yield-loss prevention.

03

Pharma Utilities

UPW/WFI loops, clean steam, compressors; compliance-driven reliability.

04

Process Industries & Utilities

Membranes, pumps, compressors; fouling hotspots; energy efficiency.

End-to-End Intelligence

A structured path, from raw sensor data to validated maintenance insights.

Processes for inbound movement such as receiving. (2).png
Artificial intelligence concept with glowing AI text surrounded by digital data, networks, and futuristic technology visuals

Join our pilot program with full access, priority support, and early features — all with no strings attached.

Try Quantaro — For 3 Months?

Be among the first to shape the future of water optimization.

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