Chapter 03 · The Current
A method, not a magic box.
Aalyon solves the implementation problem incumbents leave to the client. A structured methodology, a modern cloud-native architecture, and a platform that grows from visibility to autonomy.
The methodology
Six phases, each
with a tangible deliverable.
Discovery & Baseline
Structured site visits, data collection, stakeholder interviews and SCADA review. Produces the Operational Baseline Report — the foundation for all subsequent work.
Analysis & Prioritisation
Data analysis, process modelling and gap identification. Output: a roadmap of interventions ranked by ROI, complexity and strategic importance.
Design & Architecture
Solution architecture, technology selection from pre-built components, data-model design and integration planning.
Implementation
System build, integration, model training and dashboard development — with working software delivered at the end of every two-week sprint.
Validation & Knowledge Transfer
Structured testing, operator training and operational handover, so your team can actively use what's been built.
Ongoing Optimisation
Managed services that continuously refine models, expand coverage and adapt systems as operational conditions evolve.
The architecture
API-first. Cloud-native.
Secure by design.
Data Integration
OPC-UA, Modbus TCP, DNP3, MQTT connectors for Rockwell, Siemens, Schneider, Emerson and Ignition — plus PI, WonderWare and CMMS systems.
Data Lakehouse
Full-fidelity time-series in object storage, a dbt transformation layer, a feature store and a serving layer — partitioned and encrypted per client.
AI / ML
Pragmatic models — gradient-boosted trees and LSTMs for time-series, LLMs for operator copilots and report generation. The simplest model that works.
Application
Next.js dashboards, a NestJS API, role-based access and enterprise SSO — built multi-tenant-ready from the first engagement.
The platform roadmap
Three generations,
one trajectory.
Operational Visibility
Unify the data sources you already have into one operational model with role-appropriate dashboards and alerting. The value is awareness; the capability is integration.
Predictive Intelligence
Asset-health scoring, process optimisation, anomaly detection and compliance intelligence move operators from reactive to predictive decision-making.
Autonomous Intelligence
Agentic AI that acts under operator oversight — setpoint optimisation, energy scheduling and automated regulatory reporting, closed-loop with human control.
Enterprise trust
Security is the
foundation, not a feature.
Our clients operate critical water infrastructure. Zero-trust architecture, OT/IT segmentation, client data sovereignty and end-to-end encryption govern every engagement — explicitly mapped to the frameworks regulators require.
Ready when you are
Start with one assessment.
Phase one is four to eight weeks and ends with a board-ready roadmap. Everything else follows from there.