Companies · Fintech
San Francisco · CA, USA · Fintech · founded 2025 · https://astor.app/
Diligence memoA one-page analyst read on Astor — recommendation, valuation, rhythm, risks.→Astor: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Astor is one of 1063 Fintech companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks mid-pack (ahead of 66% of sector peers), and mid-pack by modeled valuation est..
Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.
AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%
operates a technology-led product inferred from public copy
Grounded in: “You are a venture analyst”
AI advisor for retail investors
Astor is an AI investment advisor for retail investors. Founded by Bruno Koba (Nubank, monashees) and Daniel Tulha (Stripe, Robinhood), Astor gives every active investor an AI investment advisor working around the clock to surface their next great investment. We’re backed by YC (S25). Retail investors now account for 25% of all U.S. trading volume, nearly double from 2012. But over 56% still say they don’t feel confident in their investment decisions. Astor fixes that. Our AI agents uncover opportunities, decode emerging trends, and deliver analysis tailored to you. Instead of drowning in noise, investors gain a clear edge, shifting from guesswork to confident decision-making.
As reported in public records reported — not modeled.
Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.
No round amounts on record to chart.
No staged rounds to sequence.
Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.
Not enough modeled valuation points to chart a trajectory.
Benchmarked against 1063 companies in Fintech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.
Raised more than 66% of sector peers (real $). Modeled value above 66% of peers (estimate).
Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.
| Stage | Amount · real | Announced | Post-money · est | Value · est | Conf. |
|---|---|---|---|---|---|
| No rounds recorded. | |||||
Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.
Astor is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.
Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.
| Company | Sector | Stage | Raised · real | Value · est | Why similar |
|---|---|---|---|---|---|
| 1stCollab | Fintech | — | — | — | same sector |
| 2WB TRADING AS | Fintech | — | — | — | same sector |
| Abacus | Fintech | — | — | — | same sector |
| Absa Bank | Fintech | — | — | — | same sector |
| Accend | Fintech | — | — | — | same sector |
| Accept.inc (formerly BoardRE) | Fintech | — | — | — | same sector |
| Aer | Fintech | — | — | — | same sector |
| Affinity | Fintech | — | — | — | same sector |
Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.
| Company | Sector | Stage | Value · est | Match |
|---|---|---|---|---|
| WithAI Agent harnesses for asset managers | AI / ML | — | — | 75% |
| Ralo AI-Native Mortgage Broker | Fintech | — | — | 74% |
| PARES AI AI-native real estate services firm | Fintech | — | — | 73% |
| F2 The AI platform for private markets investors | Insurance | — | — | 73% |
| Seals AI AI Employees for Wholesalers & Distributors | Fintech | — | — | 73% |
| Casca Make Banking Magical | Fintech | — | — | 73% |
| Sproutfi Latin Americas' first investing social network. Learn. Share. Invest. | Fintech | — | — | 73% |
| Corvera The context layer for AI-native CPG brands | AI / ML | — | — | 73% |
See where Astor sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
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