Finro helps tech founders, investors, and operators translate strategy into clear financial logic — from driver-based financial models to defensible valuation narratives that hold up in fundraising, M&A, and board discussions.
We help tech startups and investors turn financial logic into clear decisions. From driver-based financial models to transaction-ready valuations, our work focuses on clarity, defensibility, and real conversations — not generic spreadsheets.
Driver-based financial models built around how your business actually grows — revenue logic, hiring pace, GTM motion, and capital needs.
Focus: planning, fundraising readiness, and strategic clarity
Transaction-grade valuation frameworks built on real comps, explicit assumptions, and scenarios investors can challenge.
Focus: fundraising, M&A positioning, and investor conversations
We connect modeling and valuation into a narrative investors understand — turning financial logic into a clear strategic story.
Focus: investor messaging, growth narrative, and deal readiness
Over 200 startups and investors across AI, fintech, proptech, cybersecurity, and deep tech have worked with Finro on modeling, valuation, and transaction positioning.
A simple process. Clear outputs. No consulting theater.
We map your stage, goal, timeline, and what the next party (investor, board, buyer) will scrutinize.
Output: scope + timeline + what we need from you
We build driver-based logic (revenue, costs, hiring, runway) and make every assumption explicit and defensible.
Output: clean model + assumptions table + scenarios
We pressure-test the story and outputs so you can explain the drivers, the risks, and the valuation logic.
Output: ready-to-share views for decks and diligence
Share your stage and goal, and we’ll tell you what approach fits and what we would need to deliver a defendable result.
Typical next step: a 15 to 20 minute strategy call.
Two core services. Built for investor conversations, not spreadsheet aesthetics.
Defendable valuation ranges built on explicit assumptions, real comps, and scenarios investors can challenge.
Typical output: valuation memo + comps + scenario-backed range
Driver-based models built around how your business actually grows: revenue logic, costs, hiring, and runway.
Typical output: structured model + assumptions + investor-ready views
Valuation Multiples Research
Sector-specific databases (public, private, and M&A) used in real valuation work.