AI investors evaluate 200+ decks a month. Does yours stand out?
(85% of AI decks fail on market sizing and defensibility)
See how your AI startup stacks up
Get instant feedback on how investors evaluate your AI/ML pitch — from defensibility moats to model differentiation — then match with AI-focused angels.
7x Founder, 1 Exit, Experienced Angel Investor, Family Office
AI model trained by manually reviewing 100s of decks. Get the same quality feedback that helped founders raise from top-tier investors.
Deep feedback based on our angel investor criteria template
Upload your pitch deck above and get detailed feedback in under a minute. See how your deck stacks up against what angel investors are looking for.
Join 400+ founders and connect with AI-focused angel investors in our network.
Founders just like you are getting real feedback, making connections, and raising capital.
Real messages from our Discord community
“Took me 6 days from opening our pre-seed to get our first commitment from an angel. $100k committed out of $500k for our round!”
“How to launch your startup with no followers: Add your product to price comparison engines like G2, Capterra, GetApp for SEO and traffic!”
“I've been actively pitching through LinkedIn outreach and it's surprisingly fruitful. You can find investors who are open to cold pitches!”
“Wanted to share a win - I pitched at an event sponsored by IIM Calcutta and won best presentation. Shortlisted for investment!”
“Small wins! NicklPay Selected for Venture Atlanta 2025 as one of the Southeast's most promising tech companies!”
“I am thankful for Apple approving my MVP. Time to release my product!”
“The time for the fourth round of mentorship matching has come. Reach out to your mentor or mentee and start the conversation!”
“There are investors in this community, and they are paying attention to who people are and how they interact with each other.”
No signup required. Get instant insights to make better decisions about your startup.
Find out the maximum customers your SaaS can sustain at your current churn rate. Based on the Jason Cohen formula.
10-question assessment to find out if your startup is ready for fundraising. Get a score and actionable next steps.
Score your VC term sheet across 12 critical clauses. Identify dealbreaker terms like full ratchet, participating preferred, and more.
Input your metrics and instantly see LTV, runway, payback period, and 12-month projections with scenario analysis.
See how your metrics compare against real startups at the same stage. MRR, burn rate, team size, and more.
Everything you need to know about getting your pitch deck investor-ready
AI investors focus on defensibility (proprietary data, model architecture), technical differentiation, market timing, and the team's ML expertise. They want to see why your approach is 10x better than fine-tuning an existing foundation model.
The strongest AI moats come from proprietary training data, unique data flywheels, domain-specific fine-tuning, or novel architectures. Avoid claiming "we use GPT-4" as a differentiator — investors hear that 50 times a week.
AI investors want to see: model accuracy/performance benchmarks, customer retention (proves real value vs. novelty), inference costs trending down, and evidence of a data flywheel. Revenue growth matters but usage metrics prove product-market fit.
AI pre-seed rounds typically range from $500K to $2M in 2025-2026, often at higher valuations ($8-15M) than other sectors due to investor demand. GPU/compute costs are a key factor — investors want to see capital efficiency.
Include a simplified architecture slide that shows your technical advantage without jargon overload. Focus on what makes your approach unique — proprietary data pipelines, novel model architectures, or efficient fine-tuning methods.
Have more questions? Ask in our Discord community