GenDI

AI-Powered Decision Science

Decisions with
generative clarity

GenDI automates multi-criteria decision making with AI virtual expert panels. Define your problem. Get ranked alternatives. Every step transparent and editable.

How It Works

Three steps to a rigorous decision

Step 1

Define

Describe your decision problem, list alternatives, and choose MCDM methods.

Step 2

AI Analyzes

Virtual expert panels evaluate criteria, run pairwise comparisons, and compute weights.

Step 3

Decide

Get ranked alternatives, sensitivity analysis, and exportable reports.

Process

Six steps to a
rigorous decision

01

Define

Describe your decision problem and list alternatives

02

Experts

AI generates domain-specific virtual expert panel

03

Criteria

Identify and weight evaluation criteria

04

Compare

Pairwise comparisons by each expert

05

Analyze

Run AHP, ANP, TOPSIS, DEMATEL

06

Results

Rankings, sensitivity analysis, reports

Live Demo

See GenDI in Action

AHP-powered criteria hierarchy and ranked alternatives — toggle between views.

Example: Laptop Selection

“Which laptop should I buy?”

Criteria Hierarchy

Best Laptop
Cost45%
Purchase Price65%
Maintenance Cost35%
Performance35%
CPU Speed50%
RAM / Storage50%
Battery Life20%

Derived Weights (AHP)

Cost45%
Performance35%
Battery Life20%

AHP note: Weights are derived from expert pairwise comparisons. Alternatives are optional — AHP can prioritize criteria alone.

Powered by AHP with 5 AI virtual experts — full transparency at every step

Methods

Multiple MCDM methods, one platform

AHPAnalytic Hierarchy Process

Break complex decisions into hierarchical criteria

TOPSISTechnique for Order Preference

Find the alternative closest to the ideal solution

DEMATELDecision Making Trial & Evaluation

Map causal relationships between criteria

ANPAnalytic Network Process

Handle dependencies and feedback between factors

Ready to make better decisions?

Start your first AI-powered MCDM analysis in under 5 minutes.