Machine learning that monitors your pump infrastructure and predicts failures up to 90 days in advance — so your team can plan maintenance, not react to breakdowns.
Firstlook doesn't just predict problems — it closes the loop. From early warning through resolution, every step of the maintenance cycle is automated so your team intervenes only when and where it matters.
The moment our models detect elevated failure probability, a prioritized work order is generated and dispatched — days or weeks before any symptom is visible. Your crew arrives prepared, not reactive.
When critical thresholds are breached, protective actions trigger at the hardware level — isolating the fault, preventing cascade failures, and keeping the rest of your network online while the issue is resolved.
Firstlook continuously adjusts pump operating parameters to match real-time demand — reducing energy consumption, limiting mechanical wear, and extending asset life without any manual intervention.
Maintenance windows are scheduled before parts are needed. Required components are identified from diagnostic data, sourced, and ordered automatically — so technicians arrive with everything they need, every time.
Validated outcomes from our active municipal wastewater deployment across 391 Louisiana lift station remote telemetry units.
Our predictive maintenance platform monitors industrial pumps across essential infrastructure sectors, preventing costly failures and ensuring continuous operations.
Prevent sanitary sewer overflows and regulatory violations before they occur. Continuous monitoring of lift stations and pump networks with documented audit trails for compliance submissions.
Ensure reliable water delivery across pumping stations and distribution networks. Predict failures before they affect communities — extending asset life and eliminating unplanned emergency response.
Protect irrigation and water management systems during critical growing seasons. Prevent pump failures that could compromise crop yields and disrupt costly field operations when it matters most.
Maximize uptime across industrial pump fleets in extraction and midstream operations. Identify misuse-driven degradation early — and prevent the millions in annual rebuild costs that accumulate across large fleets.
Our system integrates with your existing infrastructure, learns your equipment's normal behavior, and delivers prioritized maintenance actions — automatically.
Connects to your existing supervisory control and data acquisition systems, remote telemetry units, and Internet of Things sensors. No new hardware required. Data from pressure, vibration, runtime, temperature, and power flows into a unified pipeline.
Our Firstlook Failure Detection (FFD) models analyze multi-sensor patterns invisible to rule-based threshold systems. The Firstlook Unified Retraining Algorithm (FURA) retrains automatically every six weeks, so accuracy improves as your fleet data grows.
Automated daily work orders with prioritized actions, root-cause analysis across every sensor channel, and full cost avoidance tracking — integrated directly into your existing maintenance workflows.
Gradient boosting and long short-term memory neural networks trained on your fleet's specific operating history — not generic industry benchmarks. Detects the subtle multi-variable patterns that precede failure.
Machine learning modelsContinuous model improvement every six weeks as new field data accumulates. As operating conditions change and your fleet evolves, so does the model — no manual retuning required.
Auto-retraining every 6 weeksCompatible with RPM² fleet management platforms, high-throughput telemetry (HTT) systems, Internet of Things (IoT) infrastructure, standard supervisory control and data acquisition (SCADA) systems, and Modbus protocols.
No new hardware requiredValidated performance metrics from our active client deployments.
Validated across 391 remote telemetry units in Louisiana — when we flag an issue, field teams confirm a real problem the vast majority of the time.
Reportable detection range from our active pilot. Our retraining algorithm maintains accuracy as operating conditions evolve over time.
Calibrated alert thresholds reduce operator fatigue. When Firstlook issues a warning, your team can act with confidence — not skepticism.
Scales with your fleet, not your headcount. Our pilot recovered costs at roughly 5% of historical repair spend — break-even at one prevented failure in seven.
Traditional supervisory control and data acquisition systems fire alarms after a threshold is crossed — after damage has begun. Firstlook predicts failures before they happen.
| Capability | Traditional Rule-Based Systems | Firstlook AI |
|---|---|---|
| Approach | Threshold alerts using static physics equations | Trained machine learning models — gradient boosting and neural networks |
| Learning | Static rules that never adapt to your equipment | Continuous retraining every 6 weeks via the Firstlook Unified Retraining Algorithm (FURA) |
| Warning Time | Real-time alarms triggered after the problem has already started | Up to 90 days of advance warning — validated in our active client pilot |
| Root Cause | Single-variable alarms with no broader context | Feature attribution across every sensor channel simultaneously |
| Output | Alarm dashboard requiring manual interpretation | Prioritized work orders with specific, recommended maintenance actions |
| False Positives | High — leads to operator fatigue and ignored alerts | Below 5% target — calibrated thresholds your team can trust |
Join wastewater utilities, municipal water systems, and industrial pump operators who use Firstlook AI to keep critical infrastructure running smoothly.