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This is the output EvalLense gives your team before the decision meeting — one real pitch report, from deck review to the human vote.

Pitch Report · AI Jury

EduPath SEA

AI Report Ready6 slides submitted
6.36AI Total Score / 10

Pitch deck

Slide 1 · Cover

EduPath SEA

EdTech platform for SE Asia · Pre-seed · seeking $500K · Anna Lee, Mark Davis

AI scores · P1–P6

P1Problem significance5.0
P2Solution differentiation5.0
P3Market attractiveness7.6
P4Business model / GTM4.4
P5Team / founder fit8.6
P6Feasibility / readiness6.4

Project summary

EduPath SEA is an EdTech startup targeting Southeast Asia. The submitted materials show market opportunity and team clearly, but problem, solution, monetization and GTM are weaker.

Why it may pass. Strong team signal and a clear category. If live Q&A shows revenue model, ICP and first-customer path, the score can rise.
Why it may not. No problem statement, solution logic, pricing or GTM. If that is a thinking gap, not a deck gap, the score stays weak.
Confirm live. Revenue model, GTM in SEA, the customer segment, current product stage and the disputed team claim.

Strengths

Operator background, complementary team, clear regional category, readable deck.

Weaknesses

No solution slide, no business model, no defined ICP, thin market-sizing evidence.

Built first for pitch-deck review. The same first-read logic can support VC dealflow and hackathon application screening — shown in the workflow section below.

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Where review breaks.

Pitch competition

230 submissions.

3 judges.

18 days before finals day.

Everyone is reading different things.

No clean way to explain why team 47 made it and team 89 did not.

VC

Inbound decks came from six sources this week.

The partner meeting is Monday.

Nobody has time to read the full stack.

But missing one strong company still hurts.

Accelerator

Applications are in different formats.

Some have decks. Some have forms. Some have traction claims without proof.

The committee still needs one clean comparison.

Hackathon

Applications close tonight.

The team needs a shortlist before anyone starts building.

Some ideas look strong. Some just look loud.

Sheets.Folders.Email threads.Last-minute calls.

Manual review does not fail loudly. It fails through uneven depth, scattered notes, and scores that are hard to defend.

Built for controlled review.

Human control

AI prepares the read. Your team makes the final decision.

Controlled review logic

Uploaded materials cannot override the review rules. The rules sit above the content.

Sensitive materials

Decks and application materials are treated as sensitive by default.

Same review logic. Different decision moments.

The decision context changes: a finalist board, a partner-ready shortlist, a stronger cohort, or application screening before teams start building.

The core stays the same: structured evidence before the room meets, and a human final call.

Best fit now
Also relevant
Accelerators

Select a stronger batch with less reviewer chaos.

Applications arrive in different formats. The committee still needs one clean comparison before the cohort decision.

Help your selection committee compare applications with the same first-read logic before the cohort decision.

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Corporate innovation

Shortlist internal proposals before stakeholder review.

Internal ideas move through committees, business cases, and stakeholder opinions. The team still needs a clean evidence view.

Give stakeholders a cleaner view of which ideas are clear, feasible, supported by evidence, and worth moving forward.

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Grants

Compare applications against fixed criteria.

Give your review committee a clearer evidence trail before funding decisions.

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Universities

Prepare fairer student competition reviews.

Help your review panel compare student teams with more consistency before awards, grants, or program selection.

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How it works

How one batch movesthrough EvalLense.

EvalLense prepares the structured first read. Your team makes the final call.

  1. 01Bring the batchCollect decks and structured application materials in one managed flow.
  2. 02Pick the review setupChoose the workflow that matches your selection moment.
  3. 03Run the structured first readEvalLense evaluates every submission against the same criteria.
  4. 04Review the outputStructured evidence, visible risks, missing proof, and comparison view.
  5. 05Prepare questions for the roomWalk into the decision meeting with signal, not a reading list.
  6. 06Set the final human rankingYour team keeps control of the shortlist and the final call.

Sharp where decks and application materials are the input.

Available now
  • structured first read
  • evidence-backed review output
  • criteria-level evaluation
  • comparison view
  • questions for the decision meeting
  • human final ranking
Best fit now
  • pitch competitions
  • VC / angel deck review
  • hackathon application screening
Upcoming
  • accelerators
  • corporate innovation
Roadmap
  • custom rubrics
  • execution review
  • live demo judging
  • deeper workflow-specific automation
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