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.
EvalLense turns decks and application materials into evidence, risks, gaps, and questions your team can use before the meeting. AI prepares the read. Your team decides.
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
Pitch deck
AI scores · P1–P6
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.
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.
You just saw a real report. Send us one batch and we will produce the same from your own decks.
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.
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.
Applications are in different formats.
Some have decks. Some have forms. Some have traction claims without proof.
The committee still needs one clean comparison.
Applications close tonight.
The team needs a shortlist before anyone starts building.
Some ideas look strong. Some just look loud.
Manual review does not fail loudly. It fails through uneven depth, scattered notes, and scores that are hard to defend.
AI prepares the read. Your team makes the final decision.
Uploaded materials cannot override the review rules. The rules sit above the content.
Decks and application materials are treated as sensitive by default.
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.
Finals are close. Decks are still scattered. Judges are reading at different depth.
Give your judging panel a finalist board, participant reports, risks, and questions before they meet.
Finalist board, participant reports, evidence, risks, and judge-ready questions.
Inbound came from six sources. The meeting is soon. Nobody has time to read every deck deeply.
Give partners, scouts, or members a cleaner first-pass view: which companies deserve attention, what evidence is missing, and what risks need a second look.
First-pass signal, red flags, missing evidence, partner-ready notes, and risks to verify.
Applications close tonight. The team needs a shortlist before anyone starts building.
EvalLense reviews what teams submit: project clarity, proposed solution, feasibility, evidence, execution plan, and risks.
Live demos, code execution, and build quality can be reviewed as separate layers.
Application summaries, feasibility signals, execution-plan risks, missing proof, and selection questions.
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.
Book an accelerator workflow callInternal 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.
Book a corporate workflow callGive your review committee a clearer evidence trail before funding decisions.
Book a grant review callHelp your review panel compare student teams with more consistency before awards, grants, or program selection.
Book a university review callEvalLense prepares the structured first read. Your team makes the final call.
Tell us what kind of program you run. We will map your workflow, show how the review would work, and walk through a pilot batch.