Energy & process optimisation engine
KODA Optimise is an internal engine that analyses operational data and proposes quality-aware optimisation options. It is delivered as a packaged Product or White Label deployment.
Optimisation requires visibility and governance
Without explainable recommendations, operators cannot approve changes. Without constraints, quality and safety risk rises.
KODA Optimise supports decision-making with traceable options and operator-controlled implementation.
Process and energy trade-offs
Quality, throughput, and energy targets often conflict and change by line or shift.
Recommendations without rationale
Settings change is hard to approve if the reasoning is not visible or traceable.
Fragmented operational data
Data lives across meters, SCADA, and reports, making consistent review difficult.
Manual review burden
Engineers spend time collecting evidence instead of focusing on decisions.
Advisory optimisation with explainable rationale
KODA Optimise analyses process and energy data, identifies opportunities, and proposes recommendations with rationale. Implementation is operator-controlled.
Process and energy data analysis
Aggregates operational data across meters, logs, and control systems.
Opportunity identification
Finds areas where settings can be adjusted within defined constraints.
Recommendations with rationale
Outputs explainable options with factors and assumptions stated.
Quality-aware constraints
Recommendations are constrained by defined quality and safety parameters.
Energy and cost visibility
Summarizes impact ranges without promising outcomes.
What is packaged
- Optimisation model configuration for the target process
- Recommendation dashboard (advisory)
- Monitoring and reporting for before/after comparison
- Integration hooks (SCADA/MES/BMS as applicable)
Typical optimisation areas
- Utilities and energy balancing
- Heating and cooling profiles
- Production throughput vs. quality constraints
- Shift-level setpoint alignment
- Start-up and shutdown sequencing
- Cross-line load distribution
Step-by-step rollout
Start with a limited scope, validate recommendations, and expand only where it fits.
Scope and data mapping
- Confirm target processes and constraints
- Map data sources and access paths
- Define quality and safety parameters
Baseline and model setup
- Build baseline profiles
- Configure optimisation logic
- Validate data continuity
Recommendation review
- Generate advisory recommendations
- Review rationale with operators
- Adjust thresholds as needed
Monitoring and reporting
- Establish reporting cadence
- Document outcomes and limits
- Decide expansion scope
Technical specifications
Start with an engineering review
We review where KODA Optimise fits and how it can be packaged through Products or White Label deployments. Decisions remain with your team.