Better decisions need comparability – not gut feeling.
When every startup is evaluated differently, quality becomes random.
Programs run. Startups present. But how do you evaluate objectively – and efficiently? modelAIz provides you with unified validation processes, structured results, and benchmark logic. So you can really manage dealflow & batch quality.
Typical Challenges
Accelerators and VCs face the challenge of evaluating startups objectively and comparably.
- Evaluations are subjective and hard to compare.
- Pitch quality distorts decisions.
- Mentoring scales poorly.
- Successes and impact are hard to measure.
- A common evaluation framework is missing.
Why classic approaches fail – and what is needed instead
Why classic approaches fail here
Pitch decks show story, not substance.
Excel & scoring are inconsistent.
Mentor opinions are not standardized.
Decisions are hard to trace.
What is needed instead
Unified validation framework
Comparable artifacts
Transparent decision logic
Scalability across programs
The Aha Moments for Accelerators & VCs
We thought: Good pitches are a good proxy for quality.
modelAIz showed: Good stories hide structural weaknesses.
This was crucial because: Evaluations became more objective.
We thought: Individuality excludes standardization.
modelAIz showed: A common framework increases quality without uniformity.
This was crucial because: Programs became more scalable.