In today’s complex wastewater management landscape, the synergy between data, software, hardware, and expert services is essential for utilities to meet growing regulatory, environmental, and operational challenges. Kando’s Data as a Service (DaaS) model unifies AI-powered software, real-time and historical data, proprietary sensors, and dedicated expert services into a Wastewater Intelligence system to help utilities improve overall wastewater quality and the broader wastewater ecosystem.

Kando’s solution rests on three integrated components: hardware, software, and expert services. This article focuses on the expert services component; the people, processes, and AI-enabled tools that ensure insights are accurate, actionable, and adopted across the utility. From data scientists and wastewater specialists to deployment project managers, customer success professionals, and STREAMi; our Gen-AI voice assistant, these services multiply the impact of Kando’s AI models. The algorithms are the primary intelligence layer, while expert services ensure successful adoption, operational alignment, and measurable outcomes across the utility.

Interested in our Hardware or our Software Components, please see the breakdown of each component in the articles below.

The heart of Kando’s wastewater intelligence solution lies in its AI and machine learning algorithms that operate on validated, high-quality wastewater data to generate actionable insight. These algorithms form the primary intelligence layer of the system, transforming raw upstream measurements into contextualized events, risk signals, and operational priorities.

To support this intelligence layer, Kando’s solution comprises three tightly integrated components: hardware, software, and expert services. The hardware component enables continuous, real-time data collection across the wastewater network. The software component applies data validation, modeling, and analytics to convert that data into insight. Expert services ensure successful deployment, adoption, and long-term value by helping utilities operationalize insights across departments and align them with utility-wide KPIs.

Figure 1: Kando Wastewater Intelligence DaaS is composed of Software, Services and Hardware

Kando’s expert services consist of a specialized team of data scientists who continuously enhance the algorithms and analytical models, and wastewater experts who support utility teams in applying wastewater intelligence within daily operational strategies. This support spans onboarding and deployment planning, training, cross-department alignment, and ongoing interpretation of upstream events and their downstream impacts.

Most utilities do not have the internal resources to manage the full transition to data-driven wastewater intelligence, particularly when it comes to advanced algorithms, data quality management, and cross-department collaboration. Kando addresses this challenge by pairing its intelligence system with expert services that help utilities move beyond siloed KPIs toward a shared, system-level understanding of wastewater quality. As a result, pretreatment, operations, compliance, and management teams can act on the same validated insights, improving coordination, confidence, and overall performance.

These services are powered by a modular suite of field-proven tools.

With scalable, battery-powered components, utilities can tailor deployment strategies to fit their system’s geography, industrial mix, and monitoring priorities, whether at large interceptors or upstream sub catchments.

The raw data collected by the hardware is first cleaned, validated, and verified against Kando’s software models. This standardized process, widely recognized in the data science community, ensures that noisy, incomplete, or drifting inputs are corrected before analysis, safeguarding the reliability of downstream insights.

Once validated, the data is processed through Kando’s proprietary analytics platform:

Together, the hardware and software form the foundation of the product, but there is far more behind the scenes than just technology. Kando’s value lies in the ongoing maintenance of the software, continuous development of new and research-oriented features, and operational support delivered through customer success teams. From deployment and field maintenance to data interpretation and long-term optimization, Kando ensures that utilities are supported at every stage. In this way, Kando is not just a monitoring system; it is an end-to-end solution.

Utilities benefit from real-time alerts via dashboards, email or Telegram enabling proactive event management and long-term strategic planning. The system integrates seamlessly with SCADA, GIS, and business intelligence tools, breaking down silos and amplifying cross-departmental collaboration, all with built-in cybersecurity safeguards.

Figure 2. Kando’s DaaS dashboard

By combining expert guidance, advanced monitoring, and continuous operational support, Kando’s Wastewater Intelligence reduces downstream pressure, protects wastewater treatment plants, supports water reuse, and helps utilities safeguard public health and the environment while improving wastewater quality.

The system consists of the following attributes:

Kando’s expert services are designed to support the deployment, adoption, and operational use of AI-generated wastewater intelligence. While Kando’s algorithms produce the core insights, expert teams and AI interfaces ensure those insights are trusted, understood, and applied across utility operations.

Together, they ensure optimal system setup, data reliability, and continuous customer value.

Kando’s wastewater experts, including engineers, analysts, data scientists and maintenance experts, play a vital role in translating data into real-world outcomes. They analyze catchment characteristics and industrial discharge patterns using tools like sector mapping, historical data, and GIS overlays to build a clear picture of where pollution sources may arise. With this understanding, they develop tailored deployment strategies for Kando’s hardware that align with each utility’s goals, (i) Continuously monitor the network pollution status (installing sensors in the inlets) (ii) clear upstream based on utility goal (iii) early detection guarding WWTP.

Beyond detection, these experts support the utility teams wastewater quality insights and translate them into actionable strategies, such as source control measures, pretreatment recommendations, and operational adjustments for collection systems or treatment processes. Their guidance also supports utilities in integrating wastewater intelligence with regulatory workflows and effluent permit requirements following their scope of work, providing the confidence needed to meet compliance targets.

By contextualizing raw wastewater data into actionable insights, and supporting utilities through our Customer Success team on how to apply those insights in daily operations, Kando helps teams across the organization maximize value from their data. This includes extracting higher-quality signals, improving effluent quality and sludge stability, optimizing flow and aeration strategies, protecting water reuse processes, and strengthening team communication.

In essence, Kando ensures wastewater intelligence is not just data used to solve a single problem, but a strategic tool that protects downstream systems, improves overall wastewater quality, and extends the lifetime of utility infrastructure.

Most utilities operate in silos. Pretreatment teams track enforcement KPIs. Operations teams optimize WWTP stability. Compliance teams manage permits. When a validated, real-time wastewater insight surfaces, it rarely reaches all the people who need it, fast enough to act.

Kando's CSMs bridge this gap. They embed in your utility to align stakeholders around a unified, data-driven view of wastewater quality. They ensure that insights translate into operational outcomes.

Outcome Phase 1:
Early cross-departmental alignment, a shared understanding of data, and readiness to act on the first detected events.

Outcome Phase 2:
Actionable proof of who's causing quality issues. Ready for enforcement, education, or engineering interventions.

Outcome Phase 3:
Informed operational adjustments that reduce unplanned disruptions, protect permit compliance, and support consistent effluent quality.

Outcome Phase 4:
Evidence-based improvements reduced risk of exposure, and adaptive strategies that support long-term wastewater quality goals.

Outcome Phase 5:
Wastewater intelligence that sticks. Adopted across teams, generating sustained ROI.

Self-service platforms sound appealing. But the utilities that get 3 to 5 times faster ROI? They have dedicated partners who understand wastewater science and utility politics, budgets, and operations. CSMs reduce adoption risk, eliminate false positives, and prevent siloed value creation.

STREAMi, Kando’s voice-powered wastewater intelligence assistant, is fully supported by the expert services team to ensure seamless adoption in the utility environment. Customer Success Managers and wastewater operations experts help train utility staff to use STREAMi effectively, empowering field and operations teams to interact with the dashboard through natural language commands. Whether retrieving reports, querying pollution event data, or navigating the network map, STREAMi enables hands-free, immediate access to critical information, whether it is in the dashboard or in the field.

At Kando, the Operations and Maintenance team plays a central role in ensuring the field reliability and long-term effectiveness of the Wastewater Intelligence solution. This includes overseeing end-to-end system implementation, from site preparation and hardware installation to ongoing monitoring, support, and optimization. The team collaborates closely with utility partners and subcontractors to tailor deployments to site-specific needs and evolving operational goals.

Kando’s deployment specialists ensure successful hardware rollout, field strategy, and robust data pipelines, even in challenging conditions. In collaboration with the utility, they conduct physical site assessments to identify optimal placements for sensors and samplers, deploy contactless IoT A-EYE sensors above flow lines to minimize fouling, and configure loggers and communication devices to ensure maximum uptime, reliable data quality, and full coverage.

By establishing a resilient data infrastructure and creating a solid foundation for the collection of high-quality data, the deployment team empowers utilities to detect wastewater quality events early and act proactively.

The long-term success of Kando’s solution depends on proactive and ongoing maintenance. Our maintenance experts conduct routine inspections, field repairs, system cleaning, and IoT sensor calibration. They also monitor equipment health remotely, replacing batteries and performing diagnostics as needed. AI-based alerts help identify anomalies early, while virtual sensor logic bridges temporary data gaps to preserve continuous insight delivery.

By maintaining the integrity of the data capture layer, the team ensures that insights reaching dashboards and alerts are timely, accurate, and actionable. This enables early detection of wastewater events and supports a wide range of utility outcomes, from protecting infrastructure against degradation and optimizing treatment capacity, to ensuring regulatory compliance, enabling water reuse, and driving continuous improvements in overall wastewater quality.

Kando’s data scientists, analysts, and Research specialists are a core part of the wastewater intelligence solution, ensuring data is accurate, relevant, and reliable. As part of day to day data operations, they validate and enrich incoming data streams. Using real-time inputs together with historical system fingerprints, laboratory results, public datasets, and domain expertise, they develop and build a high-fidelity picture of wastewater quality.

The team designs, evaluates, and improves the AI and machine learning models used to generate Kando’s insights. They define problem statements, curate ground truth (e.g., lab results and field validation), engineer features, and train, evaluate, deploy, and monitor models, with drift detection and retraining policies as data and operating conditions change.

Taken together, the validated data and model insights are presented with pollution severity levels and downstream impact context, enabling operators to prioritize actions. For example, protecting WWTP performance, managing organic load fluctuations, maintaining sludge stability, or controlling effluent salinity.

In close collaboration with utility teams, Kando’s data team develops and rolls out new insight features and data products. They operationalize model generated insights as prioritized alerts, risk scores, and recommended actions with context and confidence so utilities can act. The team’s ongoing work keeps the wastewater intelligence solution current with emerging challenges, and changing stakeholder needs, so decisions are traceable and evidence-based and wastewater quality improves.

Kando’s expert service teams enable a diverse range of operational and strategic use cases:

Example Mapping of Use Cases to Operational Challenges:

Each of these use cases is supported not just by software, but by the strategic interpretation and hands-on support from Kando’s experts.

Kando’s Wastewater Intelligence system turns validated wastewater data into actionable insight through AI and machine learning, making wastewater intelligence practical, usable, and sustainable for utilities. Supported by experienced engineers, data scientists, customer success managers, and a responsive deployment team, Kando delivers more than a technology solution, it provides a long-term operational partnership focused on measurable outcomes.

By enabling a shared, system-level view of wastewater quality across departments, supporting evolving regulatory and environmental demands, and embedding tools like STREAMi for intuitive, hands-free access to insight, Kando helps utilities shift from reactive responses to proactive, data-driven wastewater network management.

To learn how Kando’s holistic approach, combining Data as a Service, AI-powered software, and expert support, can help achieve your utility’s strategic goals, contact the team or explore more at www.kando.eco.