See inside your membranes without opening them.
Quantaro is a read-only decision-support product for membrane treatment systems. It turns existing plant telemetry and maintenance context into normalised performance monitoring, engineering warnings and investigation guidance.
From signal to engineering check
Illustrative view, simulated plant data.
Capabilities
Quantaro enables engineers to make better decisions with the data their plants already generate.
01
Condition Tracking
Monitor real-time changes in permeability, pressure drop, and salt passage to understand membrane health.
02
Cleaning and fouling investigation
Optimize CIP timing and investigate likely fouling mechanisms to extend membrane life and reduce costs.
03
Lifecycle Comparison
Compare condition, maintenance history, and economic impact across trains to optimize operational decisions.
HOW WE WORK
Audit. Pilot. Scale.
Start small, prove the value, and only scale when it makes sense.
Each phase is scoped separately, with a clear stop / go decision before the next step.
Step 1 — Audit
Check the opportunity
We review the operational question, available data, data quality and process context.
Outcome: what is feasible, what is not, and whether a pilot is justified.
Decision: Stop or go to Pilot
Step 2 — Pilot
Prove it on your data
We test Quantaro on a defined system, train or dataset against agreed success criteria.
Outcome: validated results, limitations and evidence of practical value.
Decision: Stop or go to Scale
Step 3 — Scale
Extend what works
If the pilot proves useful, we expand to more trains, sites or use cases.
Outcome: a deployment based on demonstrated value.
No lock-in between phases
Audit, Pilot and Scale are scoped and contracted separately. You decide whether to stop or continue after each phase.
Read-only by design
Quantaro reads plant data. It does not write to the control system. We believe in the integrity of existing operational data and the reliability of established process engineering.
No new sensors. We leverage the data your plant already records.
No new process hardware. No additional equipment or modifications.
No automatic control actions. We provide insight, not intervention.
PRODUCT FIT
Good product fit starts with a real operational decision
• Sufficient historical data exists for the relevant system and variables.
• Performance deterioration, unstable operation or maintenance timing has meaningful operational consequence.
• The plant can investigate or act on the insight produced.
• The organisation wants a repeatable view across time, trains, sites or projects.
• Engineering users are available to validate context and findings.
Quantaro is unlikely to be a good fit where little usable history exists, maintenance cannot be changed or investigated, or the expected decision has negligible operational consequence.
FAQ.
Is Quantaro a control system?
No. Quantaro is a read-only decision-support layer. It does not write commands or set-points to the plant.
Does Quantaro replace our SCADA or historian?
No. It works alongside existing monitoring and data infrastructure and adds membrane-performance context and decision support.
What data is needed?
That depends on the operational question. Relevant time-series process data, system context and maintenance history are typically considered.
Does Quantaro require new sensors or hardware?
Quantaro is designed to use existing plant data. The data-access method and any additional data requirements are confirmed for each application.
Can Quantaro predict membrane failure or an exact cleaning date?
Quantaro can identify performance changes and support maintenance evaluation where the data is sufficient. It does not promise exact failure or cleaning-date prediction as a universal capability.
Can Quantaro compare multiple trains or sites?
Potentially, where systems, operating context and data are sufficiently comparable. Comparability must be checked before making cross-asset conclusions.