Pre-seed AI founders
Raising $1M-$5M for fundamental research and frontier-model fine-tuning.
The contents
Everything that unlocks for your organization the moment checkout completes.
The detail
For founders building AI research labs or agentic-systems businesses. Includes a 5-year R&D budget template, defensible-moat narrative scaffolds, and a token-economics financial model that handles per-call inference cost.
The audience
If any of these sounds like you, the pack is built to compress your zero-to-pitch timeline.
Raising $1M-$5M for fundamental research and frontier-model fine-tuning.
Commercialising university IP into a venture-backed company.
Going from research-paper consulting to a productised research lab.
Spinning a corporate AI division out as a standalone company.
The return
The plan investors actually expect from a 2026 AI R&D startup — moats, GPU spend, inference unit economics.
Per-call inference cost, batch-vs-streaming maths, and gross-margin sensitivity already modelled.
Realistic GPU spend, model-team headcount, and data-acquisition costs through 2031.
Scaffolds for data moats, talent moats, distribution moats — the questions every term sheet asks.
Cohort retention, LTV/CAC for API products, and gross-margin trajectory under model price decay.
The process
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