Companies · AI / ML

PavootSpring 2026Active

San Francisco · CA, USA · AI / ML · founded 2026 · https://pavoot.com

Diligence memoA one-page analyst read on Pavoot — recommendation, valuation, rhythm, risks.
Total raised · real
0
Rounds
Latest step-up
Top 39%
Sector rank · raised
Latest stage · inferred

Pavoot: limited disclosed financing to assess.

Synthesized from the figures below est. — every claim rests on a number shown on this page.

Where it sits in AI / ML

Pavoot is one of 2067 AI / ML companies tracked from San Francisco, CA, USA, on record since 2026. 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 Event Manager for in-person events

Pavoot is an AI event manager for companies that run in-person customer events. More and more companies are investing in dinners, summits, and community events because relationships drive revenue. But today, running events means sourcing attendees, sending invitations, hosting the event, and then manually digging through notes, emails, and spreadsheets afterward to figure out who attended, what was discussed, who is a strong lead, and who should be followed up with. Most teams either send generic "thanks for coming" emails or never properly capture the value created during the event. Pavoot replaces this fragmented workflow with a single AI system that keeps every attendee, interaction, conversation, and follow-up connected in one place, making relationship-driven growth scalable. Gohar and Ana met while studying Computer Science at ETH Zurich. Gohar is a six-time Swiss chess champion and was the youngest member of Switzerland’s national chess team at age 13. Ana won more than 20 medals in scientific Olympiads, ranked 1st in CS at Latin America’s most competitive university, and built internal AI systems used by hundreds of data scientists at some of the largest banks in Latin America before moving to ETH Zurich for AI research. === Book a demo: pavoot.com

B2BMarketingai/ml
Find Pavoot online

As reported in public records reported — not modeled.

US
Jurisdiction
Amount raised vs valuation, by round

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.

Financing ladder & sequence gaps

No staged rounds to sequence.

Modeled valuation trajectory
Base estimate est.
Conservative case
Upside case
Modeled post-money

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.

Financing rhythm
Avg between rounds
Capital velocity
On record since
First round
0
Rounds on file
How it compares to the market

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.

Total raised — vs sector median (real $, all stages)
This company
Sector median$4.7M
Modeled value — vs sector median (estimate, all stages)
This company
Sector median$27.9M

Raised more than 62% of sector peers (real $). Modeled value above 62% of peers (estimate).

Full financing history

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.

StageAmount · realAnnouncedPost-money · estValue · estConf.
No rounds recorded.
Intelligence
Modeled next raise
Modeled next size est.
Last step-up
Capital velocity

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.

Registry & provenance

Pavoot is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

United States
Country of record
US
Jurisdiction
Similar companies

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.

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Semantically similar

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.

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Frequently asked
What does Pavoot do and where is it based?
Pavoot operates in the AI / ML sector, based in San Francisco, CA, USA. AI Event Manager for in-person events
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