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R&D + Applied AI

Technology that understands water

We combine 24+ years of water operations domain expertise with modern software architecture and applied AI to build technology purpose-made for the sector.

Our approach to technology

We don't build generic software and adapt it. We start from deep understanding of water operations and build purpose-specific technology.

Domain-First Architecture

Every data model, workflow, and algorithm starts from deep understanding of water operations. Our platform speaks the language of the sector — SANS 241 limits, Blue Drop scoring, process unit hierarchies, analytical methods. This isn't generic software configured for water; it's water technology from the ground up.

AI & Machine Learning

We are building machine learning models trained on real operational data from South African water systems. Predictive water quality, anomaly detection, dosing optimisation — intelligence that gets smarter as your data grows. Human-in-the-loop by design, because operators should trust their tools.

Offline-First Engineering

Our architecture is built for the reality of South African infrastructure. Every product works without connectivity — data captures locally and syncs seamlessly when connections restore. This is not an afterthought; it is a core architectural principle that shapes every design decision.

The intelligence layer

Izinto Analytics is the culmination of our technology vision — turning the operational data already flowing through the platform into predictive intelligence.

Predictive

Water Quality Forecasting

ML models that forecast water quality parameters 4–24 hours ahead, giving operators time to act before exceedances occur. Trained on historical operational data specific to each site.

Detection

Anomaly Detection

Real-time identification of unusual patterns in operational data — equipment drift, unexpected quality changes, process deviations. Alerts operators before small issues become big problems.

Optimisation

Dosing Optimisation

Data-driven chemical dosing recommendations that reduce costs while maintaining water quality targets. Uses historical dosing-to-quality correlations and real-time conditions.

Maintenance

Predictive Maintenance

Equipment failure forecasting based on operational patterns, runtime data, and maintenance history. Shift from reactive to predictive maintenance scheduling.

Izinto Analytics is currently in development. Learn more about what's coming.

Built for scale and resilience

A modern platform architecture designed for the demands of water operations across Southern Africa.

Multi-Tenant

Single codebase serving multiple organisations with full data isolation. Scales from a single plant to a national water board.

API-First

RESTful APIs for integration with SCADA systems, IoT sensors, laboratory instruments, and third-party platforms.

Offline Sync

IndexedDB local storage with service worker synchronisation. Captures data reliably even at remote sites with no connectivity.

Role-Based Access

Granular RBAC with SSO support. Operators, lab technicians, compliance officers, and managers each see what they need.

SA-Hosted

All data hosted in South Africa. POPIA-compliant by design. Full audit trail and electronic records management.

White-Label Ready

Multi-brand architecture supports partner branding, custom domains, and isolated client environments out of the box.

From raw data to operational intelligence

Every reading captured across the platform — plant telemetry, laboratory results, field samples — flows through one applied-AI pipeline that validates it, enriches it with water-domain context, and turns it into alerts, forecasts, and compliance-ready reporting.

Plant & SCADA Telemetry Lab (LIMS) Results Field Capture Samples Ingest & Validate Rules, units & QC DomainFeature Store Water-ops context ML Models Anomaly detection Demand forecast Dosing optimisation Insights & Alerts Operators & managers Compliance Reports SANS 241 & Blue Drop

The data advantage

Our AI isn't theoretical. It's grounded in real operational data from South African water systems.

With 958+ water systems assessed and decades of operational experience, we have deep understanding of how South African water operations actually work — the patterns, the edge cases, the regulatory nuances.

Every data point captured through the Izinto platform feeds our analytics models. This creates a virtuous cycle: the more our customers use the platform, the smarter the intelligence layer becomes. Purpose-built for the local context, not imported from elsewhere.

958+
Water systems assessed
24+
Years of domain data
6
Connected data sources
100%
South African context

See our technology in action

Book a demo to see how the Izinto platform connects plant operations, laboratory analysis, and compliance reporting — and where AI-driven analytics is taking us next.