Nathan Benaich
Founder & General Partner · Air Street
Check $1M–$10M
SEED
SERIES A
AI
Devtools
Investment thesis
I back AI-first companies where the model is the moat — founders who build intelligence into the product itself, not as a feature bolted on top.
Communication style
Sharp, technical, pushy on evaluation and benchmarks. Asks for actual evals, not vibes.
Red flags
- •Wrapper with no proprietary data or eval
- •No plan for evaluation at scale
- •Founders who don't engage with the actual research literature
Signature questions
- 1.What's the actual eval setup — public or private?
- 2.Where does the moat come from as foundation models commoditize?
- 3.What data flywheel are you building?
- 4.How does this look when the underlying model gets 10x better?
Selected portfolio
Synthesia
Weights & Biases
Tractable
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