Evalyze v2 Release Notes: Multimodal, Reasoning-Powered Pitch Deck Intelligence
A major upgrade to deck scoring multimodal understanding, transparent reasoning logs, and near-zero hallucinations for investor-grade evaluations.

1. Introduction to Evalyze v2
Evalyze v2 introduces a new generation of pitch-deck intelligence powered by multimodal reasoning models and a redesigned scoring architecture. This release significantly enhances the platform’s ability to understand complex pitch materials, extract structured insights from visual content, eliminate hallucinations, and deliver more rigorous, investor-grade evaluations.
Major Updates
1. Reasoning-Enhanced Fine-Tuned Model
Our v2 engine is built on advanced reasoning-centric LLM architectures that strengthen higher-order inference across all dimensions of startup evaluation.
What this means technically
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The model now performs structured reasoning across core categories:
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Team & Founders
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Problem-Solution Fit
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Traction & Metrics
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Competitive Advantage
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Market Size & Opportunity
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Scalability & Business Model
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Improved semantic coherence enables the system to form contextually grounded judgments, even in complex or ambiguous slides.
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Deep-chain reasoning modules provide more stable, reproducible decision-making, reducing variability across evaluations.

2. Multimodal Pitch Deck Analyzer (Images, Charts, Visual PDFs)
Evalyze v2 introduces a fully multimodal preprocessing and analysis pipeline capable of understanding both text and visual elements within pitch decks.
Key technical upgrades
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Support for PDFs exported as images only, where text is non-selectable.
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Optical and semantic extraction from:
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Charts & graphs
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Screenshots
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Infographics
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Product mockups
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Visual KPIs
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Vision-Language fusion layers allow the model to cross-reference text and visual signals, elevating accuracy in:
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Traction interpretation
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Market insights
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Competitive landscape evaluation
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Product understanding
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This multimodal upgrade ensures reliable analysis across the wide variety of pitch deck formats used by founders.
3. Explainable Reasoning Logs for Every Evaluation
Evalyze v2 introduces full reasoning traceability, allowing teams to inspect how the model reached its conclusions.
Technical capabilities
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Chain-of-thought style reasoning logs (internally visible to admin/review tools).
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Structured rationale included in:
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Scoring decisions for all six criteria
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Recommendations and insights
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Enables iterative model improvement, compliance checks, and human-in-the-loop auditing.
Founders also benefit from clear explanations that connect each score to the factual evidence in their pitch deck.
4. Near-Zero Hallucination Architecture
We implemented rigorous mechanisms to reduce hallucinations and constrain outputs to verifiable pitch deck facts.
Mechanisms include
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Fact-bounded reasoning: model outputs are limited strictly to information visible in the slides.
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Assumption filtering: no speculative claims beyond what can be directly derived from the content.
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Evidence-aligned scoring: the model must cite the factual basis for each assessment.
This ensures founders receive accurate, fair, and unbiased evaluations aligned with real investor expectations.
5. Fully Redesigned Scoring System (0-10 per Criterion, Gaussian-Aligned)
Evalyze v2 implements a statistically sound scoring framework grounded in a Gaussian distribution derived from our dataset of 8,000+ pitch decks.
How scoring works now
Each of the six criteria is scored on a 0.0-10.0 scale, based solely on pitch-visible data.
Example (Team & Founders):
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No visible team data → 0.0-2.0
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Generic/unclear backgrounds → 3.0-5.0
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Strong relevant experience → 5.0-8.0
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Exceptional, well-documented record → 8.0-9.0
General Score (300-850 Scale)
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A weighted average of the six criteria
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Then scaled to a 300-850 evaluation score (paralleling credit-rating-like interpretability)

Note: Existing users may observe slight score shifts due to the new statistical model and more precise fact-based scoring.
6. More Realistic VC Admission Probability Modelling
We recalibrated the probability estimation engine for admissions into top-tier VCs such as Y Combinator.
What changed
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Probability models aligned with current datasets of actual accepted startups.
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Better correlation between real-world acceptance patterns and pitch-visible attributes.
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Lower false positives, resulting in more realistic benchmarking for founders.

7. Actionable, Investor-Grade Recommendations
Thanks to improved reasoning and multimodal understanding, Evalyze v2 now generates more rigorous, actionable insights to help founders optimize their pitch.
What founders receive
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Clear identification of content gaps
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Diagnostic suggestions based on investor expectations
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Strategic improvements for traction storytelling, market framing, competitive defensibility, and business model articulation
This gives founders an external, investor-calibrated perspective on their deck before fundraising.
Why Evalyze v2 Matters
Based on extensive validation testing, Evalyze v2 represents a major leap toward objective, bias-minimized startup analysis.
Benefits
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Faster due diligence cycles (up to 10× improvement)
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More consistent and explainable screening
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Reduction of human evaluation cost and variability
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More equitable analysis across global founders
Evalyze v2 is another step toward making startup capital allocation faster, data-driven, and fair.
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