PROCESS INTELLIGENCE
The five modules, applied to nine process domains
Process intelligence is the modelling and decision layer NOVYRON adds above an existing control system. Each domain below has its own signals, its own models and its own boundary — and its own page describing them in engineering detail.
- SUPERVISORY LAYER
- READ-ONLY FIRST
- SHADOW-MODE VALIDATION
- GOVERNED RECOMMENDATIONS
PROCESS DOMAINS
PROCESS DOMAINS
NOVYRON is software-first and vendor-neutral: this is configurable software, integration and lifecycle service, not process equipment. The existing PLC or DCS keeps interlocks and regulatory control, and every recommendation stays inside a site-approved operating envelope under human oversight.
THERMAL & REACTION SYSTEMS
D01 · THERMAL PROCESSING · DRYING
AI-Enabled Industrial Drying Optimisation
Stabilise final moisture, reduce avoidable thermal load and detect drift before off-spec product leaves the dryer.
Read the domain pageD02 · REACTION · BATCH, SEMI-BATCH & CONTINUOUS
AI-Supported Reactor Intelligence
Turn reactor trajectories into early quality forecasts, safer operating guidance and repeatable batch performance.
Read the domain page
SEPARATION & WATER QUALITY
D03 · LIQUID SEPARATION · ULTRAFILTRATION
Intelligent Ultrafiltration Line Operations
Predict permeability loss, optimise filtration and cleaning decisions, and protect separation performance.
Read the domain pageD04 · PROCESS WATER · ION EXCHANGE & HYBRID TRAINS
AI-Guided Demineralisation Lines
Forecast breakthrough, improve regeneration timing and maintain water quality across ion-exchange and hybrid treatment trains.
Read the domain pageD05 · FINAL BARRIER · POLISHING
Intelligent Polishing Operations
Protect final product or water quality by detecting trace breakthrough and optimising the last separation step.
Read the domain page
STARCH & BIOPROCESS CONVERSION
D06 · STARCH PROCESSING · LIQUEFACTION
AI-Assisted Liquefaction Control
Control viscosity reduction and starch conversion through a stable liquefaction trajectory despite feed variability.
Read the domain pageD07 · STARCH PROCESSING · SACCHARIFICATION
AI-Assisted Saccharification Intelligence
Predict sugar-release trajectories, identify stalled conversion early and optimise the time–enzyme trade-off.
Read the domain page
PROCESS PERFORMANCE
D08 · PLANT-WIDE · IMPROVEMENT DISCOVERY
AI-Enabled Process Improvement Discovery
Find and prioritise practical improvement opportunities from process evidence, not from isolated dashboard signals.
Read the domain pageD09 · PLANT-WIDE · REAL-TIME OPTIMISATION
Real-Time Process Optimisation
Continuously calculate and rank feasible operating targets as feed, demand, equipment and utility conditions change.
Read the domain page
SAFETY, QUALITY AND GOVERNANCE
NOVYRON connects read-only and runs in shadow mode first. Any write-back is designed, tested and approved separately. Interfaces are chosen to fit the architecture already on site rather than forcing a new hardware stack.
- The deployment architecture can be designed to segregate customer data by tenant and deployment boundary, subject to the hosting, access-control and contractual terms agreed with you. Edge, on-premises, private-cloud and managed-cloud patterns are all evaluated against your constraints.
- Role-based access, encryption in transit and at rest, audit logging, model and version traceability and a secure update process are defined during solution design.
- Data provenance, retention and permitted model-training use are documented contractually. Customer data is not silently pooled into general models.
- Predictions carry quality flags and uncertainty where that is technically meaningful. Drift and out-of-distribution conditions trigger review rather than false precision.
Bring us the process boundary
Share the process, the signals you already collect, the control architecture, the constraints and the outcome you need. An engineer turns that into a scoped data assessment, a shadow pilot and a deployment plan.