Zaz OSSummer 2021Active☆Watch⊞Compare

Zaz OS is one of 2067 AI / ML companies tracked from São Paulo, SP, Brazil, on record since 2021. 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”

Lovable for internal products

Zaz OS is a “Lovable for internal products”: an AI-native platform with an opinionated infrastructure that makes it easy to build and edit Apps and Agents through vibe-coding. Using spec-driven development, it ensures consistency and security for critical processes, solving challenges like user management, notifications, and multi-app integration within a single interface. With over eight years of experience in back-office and HR, Zaz OS was designed from the ground up with core structural issues already solved and the flexibility to adapt to each company’s unique needs. The result is the speed to build and iterate, combined with the robustness required for mission-critical processes — the ultimate solution to replace the Frankenstein stack of SaaS tools that currently dominates company management. As companies grow, the lack of customization of current software forces Heads of HR to buy multiple disconnected tools, allocate engineers to build and maintain people-related projects or use spreadsheets.

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.

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.

Zaz OS 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.

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.

See where Zaz OS sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Zaz OS, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.