Pavoot

AI Event Manager for in-person events

1.9Score#733 of 999 agents#34 of 44 in SDR

Why it ranks #733

Pavoot, an AI SDR from YC Sp26, ranks #733 of 999 AI agents and #34 of 44 in SDR, with a score of 1.9 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 0 × 30% 0.0
Scale 0 × 30% 0.0
Momentum 4 × 25% 1.0
Autonomy 6 × 15% 0.9
= 1.9

Proof
Do customers use it? 30% of the score
0
No public claims of customers or revenue yet.
Not found: revenue or growth (+4), named customers (+3), a customer result (+2), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
0
Team size and funding not listed.
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
4
Shows a recent launch and a new batch.
- +3
  Launched in the last 6 monthsPavoot: Create event experiences that convertLaunch YC post · 6 May 2026
- +1
  New: YC Spring 2026
Not found: open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 75% likely
- Finishes whole tasks: 19% likely
- Calls itself an agent: 91% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Pavoot

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.

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Book a demo: pavoot.com