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Ben Wiggins

Ben Wiggins

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7x Founder, 1 Exit, Experienced Angel Investor, Family Office

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Frequently Asked Questions (FAQ)

Everything you need to know about getting your pitch deck investor-ready

What do AI investors look for in a pitch deck?

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.

How do I explain my AI moat to investors?

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.

What traction metrics matter for AI startups?

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.

How much are AI startups raising at pre-seed?

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.

Should I include technical architecture in my pitch deck?

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.

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