PROTECT PHARMACEUTICAL

PRODUCTION

AND THE CRITICAL water systems BEHIND IT

Aquanomix delivers AI-powered condition monitoring with real-time control to detect corrosion, fouling, scaling, microbial activity, and system drift across pharmaceutical water systems—so teams can intervene before issues impact product quality, compliance, or manufacturing operations.

SMALL WATER FAILURES

STOP BIG PRODUCTIONS

Pharmaceutical water systems can gradually drift from optimal operating conditions without obvious warning signs. Scaling, corrosion, microbial activity, and water quality excursions can compromise system performance, increase investigation workload, and create risks to product quality and compliance.

Aquanomix continuously analyzes water quality and operational data using machine learning to identify developing conditions early—allowing teams to intervene before they become deviations, asset failures, or manufacturing disruptions.

Condition-Based Monitoring

FOR PHARMACEUTICAL WATER SYSTEMS

Pharmaceutical water systems continuously evolve as equipment ages, operating conditions change, and water quality fluctuates. Scaling, corrosion, microbial activity, and system drift often develop gradually—remaining undetected until they contribute to deviations, equipment failures, or manufacturing disruptions.

Aquanomix applies condition-based monitoring principles to pharmaceutical water infrastructure by continuously analyzing water quality, system performance, and operating conditions in real time.

Machine learning models continuously analyze water quality, system performance, and operating conditions to identify:

  • Scaling, corrosion, microbial activity, and system drift

  • Risks to product quality, asset reliability, and operations

  • Developing conditions before traditional testing or alarms

HOW IT WORKS

1 — Collect Real-Time System Data

Sensors continuously monitor critical water quality and system performance parameters across WFI, purified water, clean steam, and supporting utility systems.

2 — Detect Developing Conditions

Machine learning analyzes trends, operating conditions, and water quality data to identify scaling, corrosion, microbial activity, and system drift before they become operational concerns.

3 — Assess System Health

Aquanomix continuously evaluates system performance, asset condition, and risk indicators to provide a complete picture of water system health.

4 — Intervene Before Production Is Impacted

Teams receive actionable insights that support proactive maintenance, investigation avoidance, and operational decision-making before issues escalate.

Example 1: WFI SYSTEM PERFORMANCE DRIFT

A Water for Injection distribution loop gradually develops scaling within critical heat transfer surfaces. The change is subtle enough to avoid triggering alarms, yet system performance slowly begins to drift from historical operating conditions.

Aquanomix identifies the developing trend early, allowing teams to investigate and address the issue before it impacts system performance, maintenance requirements, or manufacturing operations.

Example 2: PURIFIED WATER SYSTEM QUALITY RISK

Changes in operating conditions and water chemistry begin creating an environment favorable to microbial activity within a purified water system. Routine testing continues to provide only periodic snapshots of system health.

Aquanomix continuously monitors system conditions and identifies emerging risk patterns between testing intervals, helping teams take corrective action before the issue escalates into a quality concern or deviation.

from reactive water management

to condition-based reliability

Most industrial facilities manage process water systems using either reactive maintenance or fixed service schedules. Problems are often discovered only after production performance declines or equipment damage has already begun.

Aquanomix applies condition-based monitoring so plant teams can detect early failure signals and intervene before water conditions degrade asset health, disrupt production, or increase operating costs.

Reactive Maintenance

Water system issues are addressed only after deviations, excursions, equipment failures, or quality concerns have already occurred.

• unexpected manufacturing disruptions

• deviation investigations

• emergency maintenance events

• increased compliance risk

Scheduled Maintenance

Water systems are monitored through routine testing, inspections, and maintenance schedules regardless of actual system conditions.

• unnecessary maintenance activities

• developing issues go undetected

• limited visibility between testing intervals

• reactive corrective actions

Condition-Based Monitoring With Aquanomix

Water systems are continuously monitored so developing conditions are identified before they impact product quality, compliance, or operations.

• early detection of system drift and microbial risk

• improved utility asset reliability

• continuous visibility between testing intervals

• proactive maintenance intervention

A Better Approach to

Water System Reliability

Learn how Condition-Based Maintenance can help reliability teams move beyond reactive and calendar-based maintenance by connecting water system condition indicators to real-world failure modes and maintenance decisions.