Stop arguing from one metric at a time.
Multi-Objective Pareto Ranker
Bring multiple decision axes into a single Pareto view so the tradeoffs between performance, cost, supply risk, and qualification effort are visible before a team over-optimizes the wrong variable.
Key outcomes
What goes in
Inputs this feature expects
- A candidate set from search, screening, or simulation
- Objective weights or constraints when a program has hard limits
- Cost, risk, and qualification signals already joined in Lattice Graph
What comes out
Outputs your team can act on
- A frontier view of non-dominated candidate options
- Explicit tradeoffs between the metrics that matter
- A defensible ranking for review and portfolio selection
Workflow
How teams use Multi-Objective Pareto Ranker
Define the decision axes
Choose the objectives that matter for the program, such as capacity, cost, or risk.
Project the candidate set
Lattice Graph computes the frontier and highlights the non-dominated choices.
Select by tradeoff, not instinct
Teams can make choices with the actual compromises visible in one place.
Best fit
Where this feature adds the most leverage
- Portfolio selection where multiple constraints matter
- Tradeoff reviews between technical and commercial teams
- Any ranking process that has outgrown single-metric sorting
Related features
More in Decide & Act
Upgrade Package Generator
Ranked packages with synthesis, timeline, cost, and patent context in one deliverable.
Precursor Substitution Engine
109 alternatives for LiMn₂O₄ mapped across 852 recipe examples.
Supply Chain Risk Monitor
Element-level HHI scoring with instant alternatives for exposed chemistries.