Companies · AI / ML
Saint Petersburg · FL, USA; Tel Aviv-Yafo, Tel Aviv District, Israel · AI / ML · founded 2022 · https://www.getzorba.com/
Diligence memoA one-page analyst read on Zorba — recommendation, valuation, rhythm, risks.→Zorba: limited disclosed financing to assess.
Synthesized from the figures below est. — every claim rests on a number shown on this page.
Zorba is one of 2067 AI / ML companies tracked from Saint Petersburg, FL, USA; Tel Aviv-Yafo, Tel Aviv District, Israel, on record since 2022. By capital raised it ranks mid-pack (ahead of 62% 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 copilot for real-estate sales teams, powered by proprietary data
Zorba is a real estate sales AI copilot, powered by proprietary vertical data, designed to help sales and customer success teams grow their client base and improve retention. It's used and trusted by both Fortune 500 and mid-market firms. With a multi-layered, LLM-driven engine, we’ve built a proprietary dataset of consolidated real estate entities, delivering real-time insights tailored specifically for the industry. Think Apollo or ZoomInfo, but AI-first and driven by real estate data
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 2067 companies in AI / ML. 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 62% of sector peers (real $). Modeled value above 62% 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.
Zorba 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 |
|---|---|---|---|---|---|
| a0.dev | AI / ML | — | — | — | same sector |
| Accord | AI / ML | — | — | — | same sector |
| Acely | AI / ML | — | — | — | same sector |
| Adam | AI / ML | — | — | — | same sector |
| Aedilic | AI / ML | — | — | — | same sector |
| Affogato AI | AI / ML | — | — | — | same sector |
| Aftercare | AI / ML | — | — | — | same sector |
| Afternoon.co | AI / ML | — | — | — | 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 |
|---|---|---|---|---|
| RealPact AI-native OS for Real Estate Brokerages | AI / ML | — | — | 79% |
| Crow AI for Commercial Real Estate | AI / ML | — | — | 77% |
| Spotlight Realty AI powered brokerage reducing residential rental commissions in NYC… | AI / ML | — | — | 77% |
| Automax.ai AI native real-estate appraisal firm | Proptech / Real Estate | — | — | 77% |
| Rabbet Bringing efficiency, accuracy and transparency to construction finance | AI / ML | — | — | 76% |
| Ciro GTM AI that books you 5-8 meetings/week | AI / ML | — | — | 76% |
| Travo The data infrastructure for real estate | AI / ML | — | — | 76% |
| Crustdata Real-time B2B data via simple APIs | AI / ML | — | — | 75% |
See where Zorba sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.
If you work at Zorba, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.
Is this your company? Update your profile or add contact details — and choose exactly who can reach you. Reviewed before anything is published.