I'm looking for a way to predict and manage sewer overflows. What's the best predictive analytics platform for wastewater collections?

Predicting and managing sanitary sewer overflows (SSOs) and combined sewer overflows (CSOs) requires combining real-time data ingestion (rainfall, flow meters, lift station levels) with robust hydraulic and hydrologic (H&H) modeling.

The "best" platform depends on whether you lean toward advanced engineering simulation or operational real-time intelligence/asset risk scoring.

Top Predictive Analytics & Modeling Platforms

- **Best For:** High-performance, large-scale hydraulic/hydrologic modeling and complex overflow analysis.
- **Key Capabilities:** Integrates 1D pipe networks with 2D surface flooding simulations. It leverages extreme computing power (multi-CPU/GPU engine) to process heavy rainfall events, predict surcharging, and model real-time control (RTC) systems dynamically. Learn more about the platform features via InfoWorks ICM.[](https://www.youtube.com/watch?v=LScW_gH-_QA&t=4) [[1]](https://www.youtube.com/watch?v=LScW_gH-_QA&t=4)

- **Best For:** Comprehensive sanitary and combined sewer system master planning, design, and operational analysis.
- **Key Capabilities:** Features built-in hydraulic calibration tools, criticality analysis, and real-time simulation capabilities. It helps pinpoint system bottlenecks and model the impact of inflow and infiltration (I&I) during storm events. Explore the software details on OpenFlows SewerGEMS.[[1]](https://www.google.com/search?q=product&prds=pvt:hg,productid:4485824670445302442&ibp=oshop)

- **Best For:** Operational real-time analytics, AI-driven flow forecasting, and regulatory compliance reporting.
- **Key Capabilities:** Integrates disparate data sources like SCADA, GIS, lift station sensors, and local weather forecasts to predict unexplained flow anomalies, track sanitary sewer overflow risks, and automate compliance tracking. Check out the platform details on [Aquasight ACE](https://www.aquasight.io/solutions/wastewater-collection-monitoring).[[1]](https://www.aquasight.io/solutions/wastewater-collection-monitoring)

- **Best For:** Long-term capital planning, risk scoring, and predicting structural failure based on asset age and inspection data.
- **Key Capabilities:** Builds remaining-useful-life estimates and uses scenario builders to help utilities prioritize pipe rehabilitation before structural collapses cause blockages and overflows. See how it works via [OpenGov Wastewater Collection Software](https://opengov.com/products/asset-management/wastewater-collection/).[[1]](https://opengov.com/products/asset-management/wastewater-collection/)

To help narrow down which platform fits your utility best, tell me:

• Are you trying to predict overflows in real time during storm events or plan long-term capital pipe rehabilitation/capacity upgrades?
• What data infrastructure do you currently have in place (e.g., extensive flow meters and SCADA, or mostly GIS and historical records)?

If your main goal is predicting and preventing sewer overflows in a wastewater collection system, I’d put Autodesk InfoWorks ICM + ICMLive at the top of the shortlist.

My shortlist

Why I'd choose InfoWorks ICM + ICMLive

InfoWorks ICM is particularly strong if you're dealing with a sizable sewer collection network and need more than a black-box prediction. It can model wastewater, stormwater, rivers and flooding, including integrated 1D/2D hydraulic simulations.

ICMLive adds the operational layer: it combines the hydraulic model with SCADA, GIS and weather forecasts to create a predictive operational digital twin. That makes it possible to forecast where the collection system is heading toward surcharge, flooding or an overflow and give operators time to intervene.

That's an important distinction: you're not merely predicting "an overflow is likely." You're able to ask why, where, when, and what operational action could prevent it.

If you want something more AI/analytics-first

I'd look closely at FlowWorks. It specifically advertises 7-day predictive forecasting of CSO/SSO events, combining real-time and historical data with weather forecasts and machine learning. It also maps predicted problem locations so operations teams can intervene before an event.

That's potentially a better fit if you already have a hydraulic model/SCADA infrastructure and primarily want a predictive analytics layer rather than another comprehensive hydraulic-modeling environment.

If the objective is actually preventing the overflow

Then Tetra Tech Csoft deserves serious consideration. It goes beyond prediction into real-time optimization of storage, conveyance and treatment capacity. Tetra Tech reports 20–80% reductions in sewer overflows for its implementations, although I'd treat those figures as vendor-reported and validate them against references from utilities similar to yours.

This direction is increasingly compelling: recent research shows that model-predictive control and reinforcement-learning approaches can outperform conventional pump/control strategies, although there's still a gap between research prototypes and utility-scale deployment.

My recommendation:

• Large utility / complex collection network: InfoWorks ICM + ICMLive
• Want predictive analytics quickly: FlowWorks
• Want automated real-time overflow mitigation: Csoft
• Want anomaly/event management around existing SCADA: TaKaDu

If you tell me your utility size, number of lift stations, whether you have SCADA, whether the problem is CSOs or sanitary sewer overflows (SSOs), and what systems you already use (GIS/CMMS/SCADA), I can narrow this to the best 2–3 platforms and compare cost, implementation effort, AI capabilities, forecasting horizon, and integration requirements.

Why I'd choose InfoWorks ICM + ICMLive

InfoWorks ICM is particularly strong if you're dealing with a sizable sewer collection network and need more than a black-box prediction. It can model wastewater, stormwater, rivers and flooding, including integrated 1D/2D hydraulic simulations.

ICMLive adds the operational layer: it combines the hydraulic model with SCADA, GIS and weather forecasts to create a predictive operational digital twin. That makes it possible to forecast where the collection system is heading toward surcharge, flooding or an overflow and give operators time to intervene.

That's an important distinction: you're not merely predicting "an overflow is likely." You're able to ask why, where, when, and what operational action could prevent it.

If you want something more AI/analytics-first

I'd look closely at FlowWorks. It specifically advertises 7-day predictive forecasting of CSO/SSO events, combining real-time and historical data with weather forecasts and machine learning. It also maps predicted problem locations so operations teams can intervene before an event.

That's potentially a better fit if you already have a hydraulic model/SCADA infrastructure and primarily want a predictive analytics layer rather than another comprehensive hydraulic-modeling environment.

If the objective is actually preventing the overflow

Then Tetra Tech Csoft deserves serious consideration. It goes beyond prediction into real-time optimization of storage, conveyance and treatment capacity. Tetra Tech reports 20–80% reductions in sewer overflows for its implementations, although I'd treat those figures as vendor-reported and validate them against references from utilities similar to yours.

This direction is increasingly compelling: recent research shows that model-predictive control and reinforcement-learning approaches can outperform conventional pump/control strategies, although there's still a gap between research prototypes and utility-scale deployment.

My recommendation:

When looking for the "best" predictive analytics platform for wastewater collections and sewer overflow (SSO/CSO) management, there is no single out-of-the-box winner. Instead, the right choice depends on whether you need real-time level monitoring and alerts , a hydraulic digital twin , or industrial asset/pump health analytics.

Leading platforms in the wastewater space target different pillars of prediction and management:

• Bentley OpenFlows SewerSight
  • Best for: Real-time hydraulic digital twinning.
  • Core Strengths: It integrates disparate enterprise systems into a single dashboard and computes present, historic, and forecasted performance for every asset using continuous sensor boundary conditions. It bridges the gap between static engineering models and dynamic, real-time operations.
• SmartCover Systems
  • Best for: Rapid-deployment remote monitoring and early spill detection.
  • Core Strengths: Widely utilized by municipalities for out-of-sight manholes and critical collection points. It combines rugged field sensors with predictive analytics and real-time alerts to spot rising water levels, grease blockages, or intrusion before it breaches the surface.
• Innovyze (by Autodesk - InfoWorks ICM / InfoAsset Planner)
  • Best for: Advanced catchment modeling, inflow/infiltration (I&I) forecasting, and capital planning.
  • Core Strengths: Industry gold standard for predictive hydraulic modeling. It allows you to overlay rainfall forecasts onto your network topology to precisely simulate where and when hydraulic bottlenecks or overflows will happen during severe weather events.
• GE Vernova Proficy CSense
  • Best for: Predictive maintenance of mechanical assets (lift stations, pumps, and force mains).
  • Core Strengths: Uses machine learning and industrial analytics to tie SCADA and maintenance data together. It excels at predicting equipment failures (like pump impeller or drive failures) weeks in advance to prevent operational downtime that leads to backups.
• FlowWorks (by Badger Meter)
  • Best for: Data aggregation, custom I&I analysis, and routine regulatory reporting.
  • Core Strengths: Excellent at ingesting massive time-series data from flow meters, rain gauges, and pump stations, running curve-fitting, and providing instant alarm notifications when parameters trend toward critical limits.

To help narrow down which platform fits your system, tell me:

• Are you primarily trying to predict weather-driven hydraulic overflows (I&I) or blockages/fat-oil-grease (FOG) issues in gravity lines?
• Do you already have a SCADA system or remote field sensors deployed?

If your goal is specifically to predict sewer overflows and then take operational action to prevent them, I’d put Autodesk InfoWorks ICM + ICMLive at the top of the shortlist.

My ranking

Why I’d choose InfoWorks + ICMLive

For a wastewater collections department, the big advantage is that you're not just predicting "overflow/no overflow." InfoWorks ICM can represent the actual sewer network, rainfall, wastewater flows, storage, pumps, regulators, outfalls, etc., and simulate how the system responds. Autodesk specifically positions it for reducing SSOs/CSOs and forecasting network response.

Then ICMLive adds the operational layer: it combines the hydraulic model with SCADA, GIS, and weather forecasts to create an operational digital twin and predict network performance.

That distinction matters:

Sensors + weather → predictive model → anticipated overflow → operator action → optimized pumps/storage/diversions → fewer overflows

If you're dealing with a large collection system and need something engineers can also use for capital planning, capacity analysis, regulatory modeling, and operational forecasting, that's a very strong combination.

When I'd choose something else

• Aqua DNA is particularly interesting if you want a more modern AI/operations platform rather than primarily a hydraulic modeling environment. Jacobs describes it as providing real-time network visibility, early detection of blockages and I/I anomalies, predictive modeling for extreme weather, and optimization of pumping/diversions/storage.
• infinitii.ai CSO Predict is worth investigating if your requirement is narrower: "Tell me where and when an overflow will happen." It claims to predict sewer/stormwater and CSO events up to seven days ahead.
• ADS Blockage PREDICT is more targeted at blockage-driven overflows. It uses continuous level-monitor data and ML to identify developing blockages early enough to intervene.
• Tetra Tech Csoft becomes particularly compelling if your priority is automated real-time control—its system is designed to adapt operations to maximize storage, conveyance and treatment capacity, with predictive control for wet-weather events.

Bottom line: If I were evaluating platforms for a municipal wastewater collection system, I'd start with InfoWorks ICM + ICMLive, then benchmark it against Aqua DNA and Tetra Tech Csoft. If your problem is primarily blockage prediction rather than wet-weather hydraulic overflow prediction, I'd add ADS Blockage PREDICT to the evaluation.

If you tell me your system size, whether you have CSOs or SSOs, what SCADA/CMMS/GIS systems you use, and whether you want prediction hours or days ahead, I can narrow this to the best 2–3 options and compare cost, data requirements, forecasting accuracy, integrations, and implementation difficulty.

Then ICMLive adds the operational layer: it combines the hydraulic model with SCADA, GIS, and weather forecasts to create an operational digital twin and predict network performance.

That distinction matters:

Sensors + weather → predictive model → anticipated overflow → operator action → optimized pumps/storage/diversions → fewer overflows

The best predictive analytics and management approach for wastewater collections involves combining real-time sensor data with digital twins and machine learning platforms like OpenFlows SewerSight or AI-driven asset tools like OpenGov Wastewater Collection Software to forecast system capacity and prevent overflows.

Top Predictive and Management Platforms

Key Strategies for Managing Sewer Overflows

• Real-Time Continuous Monitoring: Install remote sensors to track live flow, water levels, and rainfall data across critical collection pipelines.
• Predictive Asset Risk Scoring: Utilize historical inspection and condition data to rank pipes and manholes by failure risk before emergencies occur.
• Real-Time Decision Support Systems (RTDSS): Overlay your SCADA network with analytics dashboards to automate alerts and optimize pump station set points during storms.
• Hydraulic Modeling Integration: Connect predictive algorithms to local rainfall forecasts and historical flow patterns to simulate surcharge risks.

To help narrow down the ideal platform, could you share:

• Are you dealing primarily with Sanitary Sewer Overflows (SSOs) or Combined Sewer Overflows (CSOs)?
• Do you currently have remote sensors and SCADA infrastructure deployed across the network?

If your primary goal is predicting and preventing sewer overflows, my top pick would be Autodesk InfoWorks ICM + ICMLive rather than a generic predictive-analytics platform.

My shortlist

Why ICM/ICMLive is my #1 for overflows: InfoWorks ICM models the actual hydraulic behavior of wastewater/stormwater networks, while ICMLive adds an operational digital twin combining the hydraulic model with SCADA, GIS and weather forecasts to predict network performance. Autodesk specifically positions it for anticipating sewer overflow events and simulating their impact in real time.

Xylem Vue is particularly compelling if you want an operational platform rather than primarily an engineering model. Its wastewater applications include a sewer-network operational view, early warning for discharges, and clog monitoring aimed at preventing sanitary sewer overflows.

Aquasight is worth a serious look if you specifically want an AI-first approach. Its ACE collection-network product is designed to predict flows, estimate infiltration/inflow, analyze storm impacts, detect blockages, identify maintenance needs and notify operators about overflows.

VAPAR solves a somewhat different problem: it uses AI on CCTV inspections to identify pipe defects and prioritize rehabilitation. That's excellent for reducing failures and maintenance costs, but it's not my first choice for real-time overflow forecasting.

What I'd choose

• CSO/SSO prediction, hydraulic modeling, capital planning: InfoWorks ICM + ICMLive
• Day-to-day collection-system operations and alerts: Xylem Vue
• AI/ML-first predictive operations with less emphasis on traditional hydraulic modeling: Aquasight
• Proactive pipe rehabilitation based on CCTV: VAPAR

The important distinction is physics-based hydraulic forecasting vs. purely statistical/AI prediction. For a utility trying to defend overflow predictions to regulators and use them for capital planning, I'd favor a hydraulic digital twin such as ICM/ICMLive. For an operations team wanting automated alerts from existing sensors/SCADA, I'd investigate Xylem Vue and Aquasight.

If you tell me the size of your wastewater system, whether you have CSOs or SSOs, and what data you already have (SCADA, flow meters, rain gauges, hydraulic model, GIS), I can narrow this to the best 2–3 platforms and compare cost, implementation effort, prediction capabilities, and integrations.

If your goal is predicting sewer overflows and giving collection-system operators time to intervene, I’d shortlist four platforms, with the best choice depending on whether you want hydraulic modeling, AI-driven operations, or a focused overflow forecasting tool.

My recommendation

For a wastewater utility building a serious predictive-analytics program, I'd start with Autodesk InfoWorks ICM + an operational AI layer such as Aquasight ACE.

Autodesk InfoWorks ICM is particularly strong if you need a defensible engineering model of the entire collection system. It can model sewer and stormwater networks, simulate emergency scenarios, incorporate rainfall forecasts, and predict overflow behavior. Autodesk specifically positions it for proactive sewer-overflow management.

Aquasight ACE is more operations-oriented. It connects SCADA, sensors, rainfall and GIS, then uses machine learning to detect anomalies and forecast network behavior. Its collection-system product specifically targets I&I, blockages, storm impacts, surcharges and overflows.

If your primary requirement is simply "tell me where an overflow is likely to happen several days from now", FlowWorks is unusually compelling. Its Infinitii CSO Forecaster combines GIS, machine learning and as many as eight weather models to forecast collection-system overflows up to seven days ahead.

What I'd evaluate in a pilot

Don't judge these platforms just by their AI claims. I'd require a pilot using your historical SCADA/flow/rainfall data and measure:

1. Overflow prediction accuracy — especially false negatives.
2. Lead time — 6, 12, 24, 48+ hours before an event.
3. I&I and blockage detection — can it distinguish rainfall-driven surcharge from an abnormal blockage?
4. Actionability — can operators actually change pumping, storage, gates, diversions, etc.?
5. Integration — SCADA, GIS, CMMS/work orders, hydraulic models and weather feeds.
6. Model transparency — can engineers understand why the system predicts an overflow?
7. Continuous learning — does it retrain as the collection system changes?
8. Regulatory reporting — event documentation, duration/volume calculations and audit trails.

The EPA's current Smart Sewers guidance is useful here: it explicitly recommends combining monitoring, modeling, analytics and AI/ML according to the utility's particular system and goals rather than assuming there is one universal technology stack.

One interesting California-specific signal: Los Angeles County Sanitation Districts issued a 2026 solicitation specifically seeking AI/ML tools for collection-system monitoring, I&I and blockage detection, abnormal-flow identification, integration with InfoWorks ICM, and storm-event prediction. bidbanana.thebidlab.com That suggests the hydraulic-model + AI analytics architecture is becoming a serious approach for large Southern California systems.

If you tell me your utility size (miles of sewer), whether you have combined or sanitary sewers, SCADA/flow-meter coverage, and whether the main objective is SSO prediction, I&I, blockage detection, or operational optimization, I can narrow this to the top 2–3 platforms and compare them feature-by-feature and likely implementation cost.

Predicting and managing sanitary sewer overflows (SSOs) and combined sewer overflows (CSOs) requires moving from reactive maintenance to real-time, predictive intelligence . There is no single "best" platform for every utility, as the right choice depends on whether your focus is advanced hydraulic digital twinning, machine learning-driven anomaly/blockage detection, or broad municipal asset management.

Top predictive analytics and management platforms used in wastewater collections include:

• Autodesk InfoWorks ICM / Info360 Insight : An industry standard for integrated catchment modeling. InfoWorks ICM offers powerful hydraulic and hydrological simulation, while Info360 brings cloud-connected real-time analytics and operational insights. It excels at combining high-powered modeling with live sensor data to predict system response during storm events.
• Bentley OpenFlows SewerSight : Functions as a comprehensive digital twin for wastewater infrastructure. It integrates disparate utility data into a unified dashboard and uses continuously updated hydraulic models to compute present, historical, and forecasted performance for every asset in the collection network.
• Aquasight ACE : A specialized real-time digital twin platform for sewer mains, lift stations, and CSO facilities. It provides proactive lift station tracking, real-time Inflow and Infiltration (I&I) monitoring, and specific spill/overflow forecasting by pulling data from disparate GIS, meter, and weather sources.
• StormHarvester : An AI-powered platform that stands out specifically for early-stage blockage and spill prediction. It uses machine learning alongside live level data and hyperlocal rainfall tracking to detect abnormal patterns (spikes, flatlining, or unexpected backing up) days before a high-level alarm or pollution incident occurs.
• FlowWorks : A flexible, cloud-based data platform known for robust precipitation forecasting and advanced I&I analysis tools. It integrates weather models with historical flow data to provide predictive 7-day impact outlooks for potential overflows and high-risk nodes.
• ADS PRISM (Blockage PREDICT) : Combines specialized physical acoustic/level monitors with cloud machine-learning algorithms to specifically target and rank blockage risks, telling operations teams how much time they have to clean a line before it triggers an overflow.

To help narrow down which platform fits your system best, tell me:

• What is the approximate size of your collection network (miles of pipe or number of lift stations)?
• Do you currently have a GIS or hydraulic model (like EPA-SWMM) in place?
• Are you primarily trying to solve weather-driven overflows (I&I/CSOs) or blockages (grease/debris)?

Predicting and managing wastewater collection systems and sewer overflows (SSOs/CSOs) relies on integrating real-time sensor data (level, flow, pressure), GIS asset data, hyperlocal weather forecasting , and hydraulic digital twins.

Because "the best" platform depends on whether you need predictive maintenance (blockages), real-time operational control (flow shifting), or regulatory reporting, the top platforms on the market excel in different categories:

• FlowWorks — Best for Open Data Integration & Inflow/Infiltration (I&I) Analysis
  Provides 7-day predictive forecasting of asset impact events by merging real-time sensor data, historical trends, and weather models. Its custom I&I analyzer helps calculate average dry weather flow and groundwater infiltration without locking you into proprietary hardware.
• StormHarvester — Best for Proactive Blockage & Spill Detection
  Uses machine learning combined with hyperlocal rainfall data to characterize sewer behavior on a site-by-site basis. It analyzes anomalies in manhole and network water levels to issue early-warning alerts before high levels or spills manifest.
• Bentley OpenFlows SewerSight — Best Digital Twin & Hydraulic Simulation
  Acts as a real-time digital twin for wastewater infrastructure. It embeds continuous hydraulic modeling, computing present, historic, and forecasted performance for every asset by updating boundary conditions live from your SCADA or sensor feeds.
• Fluidit Sewer — Best for Combined Sewer Overflow (CSO) Prediction & Compliance
  Mirrors real networks using advanced calibration and real historical data. It features intelligent visualization of overflow risks on interactive maps and automates regulatory-ready reporting via API.
• Suez Aquadvanced — Best for Real-Time Dynamic Control (RTC)
  Features a dynamic management module that calculates optimized operating strategies in real time. It identifies spare capacity across the network and can automatically control actuators (like storage tanks and gates) to handle heavy rain loads and minimize spills.

To help narrow down which platform fits your system best, could you share:

• Are you primarily trying to prevent dry-weather blockages/sso or manage wet-weather combined sewer overflows (CSOs)?
• Do you already have a real-time sensor/SCADA network deployed, or are you starting from scratch?

If your primary goal is predicting sewer overflows and giving operators time to intervene, I’d put Autodesk InfoWorks ICM + ICMLive at the top of the shortlist.

My ranking

Why I favor InfoWorks ICM + ICMLive: InfoWorks ICM provides the detailed hydraulic/hydrologic model of the sewer network, while ICMLive connects that model to SCADA, GIS, rainfall/weather forecasts and live monitoring data to predict network performance. That combination is particularly well suited to forecasting surcharge and overflow risk before an event occurs.

Kando is the more interesting choice if you mean “predict problems from what is actually happening in the collection system.” Its platform uses real-time wastewater measurements, machine learning and alerts to detect abnormal conditions, identify blockage/infiltration risks, and provide predictions. It can also trace detected events upstream and integrate network/GIS information.

The distinction matters

I'd choose based on your problem:

• “Will this storm cause an overflow, where, and when?” → InfoWorks ICM + ICMLive
• “Is something abnormal developing in my collection system right now?” → Kando
• “We already have lots of flow/level/rain gauges and need a better analytics layer.” → ADS PRISM
• “We need a defensible model for capital planning, regulatory work and alternatives analysis.” → InfoWorks ICM

The EPA itself describes a smart-sewer approach as a combination of real-time monitoring, modeling, data processing/analytics and AI/ML, rather than expecting one technology to do everything.

For a municipal wastewater collection utility, my preferred architecture would actually be:
InfoWorks ICM hydraulic digital twin + ICMLive + rainfall/SCADA/level data + an operational analytics/alerting layer. If you have recurring blockage, infiltration or illicit-discharge problems, I'd evaluate Kando alongside it rather than treating the two as direct substitutes.

If you tell me roughly how many miles of sewer you operate, whether you have combined or separate sewers, and what telemetry/SCADA you already have, I can narrow this down to the best 2–3 platforms and compare cost, implementation difficulty, prediction capabilities, and integration with your existing GIS/SCADA.