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.
From raw decks to a review-ready shortlist.
Make every shortlist easier to explain.
EvalLens 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.
See what one run can produce.
This is the output EvalLens gives your team before the decision meeting — one real pitch report, from deck review to the human vote.
Pitch Report · AI Jury
EduPath SEA
6.36AI Total Score / 10
Pitch deck
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.
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.
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.
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.
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.
Every entry gets a full read. Every rank carries its receipts.
Finals are close. Decks are still scattered. Judges are reading at different depth.
An AI panel pre-reads the whole written round on your rubric; your screeners confirm with briefing packs; live rounds run exactly as designed.
University program screening runs on this same workflow.
See the workflowEvery project gets a full read before the expo floor opens.
Submissions just closed. 175 projects, a two hour expo, and four minutes per team per judge.
An AI panel reads every submission on your rubric with execution and technical depth weight protected, and each judge walks the tables with a briefing instead of a blank scorecard.
See the workflowYour open call, actually read.
Inbound came from six sources. The pipeline meeting is Monday. The median deck gets 150 seconds.
Every submitted deck read in full against your investment dimensions — flags, founder questions, a quote behind every finding. The aide, never the arbiter.
See the workflowEvery deal read before screening night.
The monthly batch is in. The screening chair is a volunteer. The reading marathon starts tonight.
A one-page, evidence-linked brief per company for your screening committee — findings, red flags, pitch questions. Every judgment stays your members'.
See the workflowEvery application gets a full read. Every rejection gets a reason.
Hundreds applied in three weeks. The committee decides the cohort next Friday.
Every application read in full and scored on your rubric with page-level evidence. Start with a free retro-test on your last cohort.
See the workflowFrom challenge statement to a signed PoC.
The challenge closed with 300+ submissions. The steering committee asks: why these five?
Evidence-linked one-pagers for your jury and a selection memo you can defend upstairs — every pick traced to a quote and a page.
See the workflowEvery score survives the audit.
Review panels are stretched, cycles run long — and three years later someone asks “why 4.2?”
Every proposal scored to your rubric anchor by anchor, with an appeal-ready record. Your reviewers remain the reviewers of record.
See the workflowScreen project owners in days. Keep the file.
Too slow, the deal lists elsewhere. Too fast, the file won't hold when the NCA asks.
An evidence-linked screening file per project owner, analyst verification, committee decisions logged — built to ESMA's dialect.
See the workflowAwards that survive the challenge.
The award is announced — and the losing bidder's lawyer asks for the evaluation record.
Every bid read end to end against your published criteria, scored with quotes and page references. Your committee awards; the record is one click.
See the workflowHow it works
How one batch movesthrough EvalLens.
EvalLens prepares the structured first read. Your team makes the final call.
- 01Bring the batchCollect decks and structured application materials in one managed flow.
- 02Pick the review setupChoose the workflow that matches your selection moment.
- 03Run the structured first readEvalLens evaluates every submission against the same criteria.
- 04Review the outputStructured evidence, visible risks, missing proof, and comparison view.
- 05Prepare questions for the roomWalk into the decision meeting with signal, not a reading list.
- 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
Built for
- pitch competitions & hackathons
- VC open calls
- angel networks
- accelerators
- corporate innovation
- grants & prizes
- crowdfunding platforms
- tenders & RFPs
Roadmap
- custom rubrics
- execution review
- live demo judging
- deeper workflow-specific automation
The claims above are inspectable.
Every workflow on this page leans on the same public methodology — how scores are built, how disagreement is surfaced, and how submissions are protected. Read it before the call, not after.
Get started
Bring your next batch to EvalLens
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.