You can't fix what you can't see. A full investment committee interview - tuned to your target VC's thesis, portfolio, and mindset - surfaces exactly where your pitch loses the thread. Not a checklist. A real back-and-forth that exposes the gaps and misunderstandings you'd never catch by reading your own deck. Then an IC Memo report with coaching to fix them. Iterate: same deck against a different VC lens, or two versions of your deck against the same investor - until every target gets your story right.
No credit card required · Results in under 30 minutes
Investment Committee Memo
INV. SCORE
7.4/10
CONFIDENCE
8.1/10
Strong market thesis and experienced team offset early-stage revenue uncertainty. Recommend proceeding to partner meeting with focus on unit economics validation.
Enter your company details, funding ask, traction metrics, and financials. Upload your pitch deck for AI extraction.
Paste any VC firm's website. We analyze their thesis, sectors, check size, and style - then the AI becomes that specific partner.
A rigorous back-and-forth. The AI challenges vague answers, flags inconsistencies, and pushes on your weakest areas - just like a real partner would.
A full IC Report: scores, strengths, red flags, market analysis, and a clear recommendation. Download as a professional PDF.
Alex Chen
Partner · Bessemer Venture Partners
Practice your pitch in a live video review with an AI VC partner. The avatar speaks and moves its eyes - realistic, intimidating, and available 24/7. Available on all paid plans.
Active fundraising means 10–20 meetings, each with a different firm. Upload your deck once, then run a tailored review for each target VC. Fix what each specific investor would flag. Walk into every room having already faced a harder version of it.
Why this matters now
VCs are increasingly using AI to screen thousands of decks before a human ever sees yours. The AI reads your deck for signals - market sizing logic, traction evidence, team credibility. It doesn't care about your story. We show you what it finds, and what it misses - so you can fix it before it filters you out.
Reviewed as
Market size, defensibility, why now
⚠ Market sizing methodology unclear
Reviewed as
SaaS metrics, NRR, sales motion
⚠ CAC payback period not addressed
Reviewed as
Clinical validation, regulatory path
⚠ Strong KOL relationships - highlight more
Running a fundraising round?
10 reviews/month. One for each investor on your list. Most founders use 6–8 before closing.
The AI adopts the exact identity of your target investor - their thesis, sectors, check size, and evaluation style extracted from their own website.
Before the session, we search for your press coverage, market data, and competitors. The reviewer uses this to challenge claims and surface blind spots.
The output isn't feedback - it's a full Investment Committee memo. Scores, red flags, inconsistencies, a formal recommendation, and an Investor Fit Analysis tailored to your target VC's portfolio and thesis.
As intense and probing as a real partner meeting - covering market, team, traction, model, competition, and financials, then deep dives on your weakest areas.
The AI cross-references what your deck claims against what you actually say. Gaps and inconsistencies are flagged explicitly.
Pre-seed founders aren't penalized for missing ARR. Deep tech companies aren't judged by SaaS metrics. The framework adapts to your context.
AI is already screening your deck. Be the founder who knows what it sees.
Request Early AccessNo credit card · Full IC memo included