Per-Model Analysis
Four models score it.You see all four.
- A single AI opinion is one opinion — DICE runs Claude, GPT, Gemini and Perplexity independently.
- You get the consensus, the spread, and every place the models disagreed, with their reasoning.
Why the ensemble holds up
Four independent reads
Each model scores the app on its own, from the same evidence and the same rubric. No model sees another's answer before scoring.
Consensus and spread
You get the blended score plus how tightly the models agreed. A tight spread is a confident score; a wide one is a flag worth reading.
Where they disagree
The disagreements are listed line by line with each model's reasoning, so you can judge the argument instead of trusting one black box.
Bias-resistant by design
One model's blind spot gets outvoted. Running four families of models is the closest thing to a second opinion an AI report can give you.
What's inside this section
Delivered as part of your DICE report, in the same structure every time.
- Score table — one column per model
- Blended consensus score
- Agreement spread and confidence read
- Line-by-line disagreements with reasoning
- Each model's standout observation
- Where the ensemble flagged low confidence
- How to read the spread before acting
Who this is for
Investors who want the confidence interval, not just the number — and founders who want to know which criticisms held up across every model before they rebuild anything.
For investorsQuestions about this report?
We'll walk you through a real ensemble breakdown, model by model.