Each project starts with a decision, uncertainty or evidence gap. BI-Zen defines the monitoring required, rapidly deploys and maintains the equipment, makes the data usable and applies wastewater process engineering to interpret what it means.
Clients receive a connected service covering instrumentation, live data and process interpretation.
We start with the question the client needs to answer, then configure temporary Optimisers and specialist instrumentation around the relevant process locations and parameters.
Our team mobilises quickly, maintains the deployment and adapts it as the evidence develops.
High-frequency data is made available through live project dashboards.
BI-Zen maintains the instruments, checks data quality and, where useful, aligns the monitoring with relevant operational, laboratory and asset information.
Our wastewater engineers assess changing loads, process performance and available headroom. By interpreting the evidence alongside treatment conditions, we help clients understand likely causes of underperformance and identify where further investigation may be required.
We work alongside operations, process science, designers, contractors, technology providers and digital teams.
Support can include interim findings, workshops, commissioning and optimisation input, alerts, maintained monitoring and follow-up assessment.
Clients come to BI-Zen at different stages and with different uncertainties. The Optimiser and supporting service are configured around the evidence needed, so the same approach can support several types of project.
High-frequency flow and quality data reveal the daily patterns, peaks and storm responses that periodic sampling misses, giving a reliable basis for loads, headroom and design assumptions.
Time-aligned evidence shows how new or modified assets perform under real operating conditions, so teams can compare results with the design basis and adjust with confidence.
Live data links changes in flow and load to process response, helping clients find likely causes of underperformance and act to recover or protect compliance.
Dissolved N₂O monitoring alongside oxygen, nitrogen and process data shows how N₂O changes with operating conditions, helping inform emissions assessment and mitigation.
The Optimiser enables BI-Zen to deploy and maintain multi-parameter monitoring at the process locations where evidence is missing. Each deployment is configured around the client’s question. Data is made available through live dashboards, while BI-Zen manages the instrumentation, data quality and process interpretation throughout the work.
The outputs are configured around the purpose of the work. Depending on the requirement, the service can include:
Live dashboards bring together high-frequency, time-aligned measurements, helping clients see normal operation, changing loads, short-duration peaks, storm responses and emerging issues while monitoring remains live.
BI‑Zen combines the available evidence with Digital Flow & Load profiles, peaking factors, mass balances and process-performance calculations. This helps clients understand how assets respond, assess capacity and headroom, and identify the conditions that may be influencing performance.
Live dashboards and accessible data exports give clients quality-checked evidence as it develops, reducing delays from sample turnaround and retrospective investigation. This allows the project to adapt during the deployment. Where required, BI-Zen can add interim observations, engineering interpretation and concise final findings.
BI‑Zen can work directly for a water company or alongside its consultants, contractors, technology providers and framework partners. Temporary Optimisers and specialist instrumentation are provided as a managed service—configured, mobilised and maintained around the evidence required.
Rapidly deploy around a specific data gap, operational concern or area of performance uncertainty.
Provide live, quality-checked evidence to support client-led design, technology assessment, commissioning or optimisation.
Apply repeatable monitoring and comparable outputs across several sites, while adapting each deployment to the local question.
Monitoring can be adapted, extended or redeployed as the evidence develops, with BI‑Zen engineering interpretation available where it adds value.
