The diligence layer for AI-native portfolio companies.
In a market where 60%+ of seed-stage AI startups misprice their inference economics, our simulator quantifies the unit economics gap most founders can't see — projecting compute spend, gross margin, and break-even users at 10x and 100x scale across every major LLM provider.
Investors use it to stress-test pitch decks, benchmark portfolio cost discipline, and surface margin risk before it shows up in the next board deck. Free for founders. Paid tiers deliver the audit-grade deliverables your finance lead would otherwise build by hand.
Bloomberg Terminal for AI infrastructure economics.
Every AI-native company on earth — from indie hackers shipping with Cursor to series-B SaaS scaling on Anthropic — is flying blind on the most volatile cost in their P&L. We're capturing that pain at the entry point: a free 90-second risk score that converts into a $5–$99 paid funnel for deeper deliverables, with a viral share-link mechanic driving organic acquisition.
We monetize today via Stripe (LIVE), email automation via Brevo, and Claude Sonnet 4.5 for the advisory layer. The thesis: as AI spend overtakes cloud spend by 2027, every founder will need a cost forecasting tool — and the one built for them, not for AWS, wins.
Diligence layer for AI portfolios
Stress-test pitch-deck unit economics before term sheets. Surface margin risk before it shows up on the next board deck.
Audit-grade deliverables
Paid tiers ($5–$99) ship CSVs, vendor comparison sheets, and Claude Sonnet 4.5 async audits — the work your finance lead would otherwise hand-build.
Viral acquisition flywheel
Free 90-second risk score → public OG-image share links → organic founder-to-founder distribution. Zero CAC for the entry point.
Bloomberg Terminal for AI infra economics
As AI spend overtakes cloud spend by 2027, every founder needs a cost forecasting tool built for them — not for AWS.
Want to chat?
Whether you're running diligence on an AI portfolio company or want to invest in the financial planning layer for the AI economy — we'd love to talk.