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Pavoot

Pavoot

AI that turns events into pipeline

Spring 2026ActiveB2BMarketingArtificial IntelligenceB2BSalesMarketingSan Francisco, CA, USA
Pavoot is an AI agent for events that helps marketing and sales teams source the right attendees, personalize each guest’s experience, and turn events into pipeline. Companies spend millions on events because relationships drive revenue. Yet most interactions are never captured, event experiences remain generic, and standard follow-ups fail to convert high-potential attendees. Before the event, Pavoot identifies the attendee profiles most likely to convert and sends personalized invitations. During the event, it helps create relevant introductions and capture important conversations. After the event, it identifies top leads, generates personalized follow-ups, and syncs engagement back into the CRM. === Pavoot turns events into personalized customer journeys. Book a demo: pavoot.com

Note: This is a preliminary assessment based on limited publicly available information. We did not have access to LinkedIn profiles or live product screenshots for this analysis. We will update this entry with a more thorough review soon.

Verdict

Medium Signal
Market Opportunity
Event marketing is a real B2B spend category — companies collectively spend tens of billions on events annually. The ICP (marketing/sales teams at companies doing field events) is reasonably clear. However, the monetization model and deal size are not described, making it hard to assess whether this is a $50/mo tool or an enterprise contract.
Medium Signal
Founder Signal
Ana Yoon Faria de Lima has real AI engineering experience at BTG Pactual and Itaú Unibanco — two major Brazilian financial institutions — which is a meaningful signal. Both founders studied CS at ETH Zurich, a top technical school. However, LinkedIn profiles are unavailable so depth of work experience is unclear, and Gohar Tamrazyan's background shows only chess achievements and an ETH degree with no cited industry experience.
Low Signal
Competition
No competitor data found in research, but this space has real incumbents: Splash, Bizzabo, and Goldcast all do event marketing automation; HubSpot and Salesforce have event modules; newer AI-native players like Demandbase and 6sense cover attendee targeting. The 'AI for events' angle is not differentiated enough on its face, and big CRM players can absorb this feature.
Low Signal
Product
No live demo, no pricing page, no customer logos, no usage metrics. Landing page is pure 'Book a demo' vaporware with a feature description but zero proof of deployment. No press coverage or traction signals found.
OverallC Tier

Pavoot is an early-stage idea with a plausible B2B use case but almost no visible traction, product evidence, or differentiation. Ana's fintech AI engineering background is the strongest signal here, but Gohar's lack of cited work experience and the absence of LinkedIn data for both founders makes team assessment difficult. The event-to-pipeline problem is real but extremely well-served by existing platforms, and Pavoot shows nothing yet that suggests a defensible wedge. Needs paying customers and a clearer moat before this is investable.

Active Founders

Gohar Tamrazyan
Gohar Tamrazyan
Founder

6-time Swiss Chess Champion & former member of the Women’s National Team. CS @ ETH Zurich.

Ana Yoon Faria de Lima
Ana Yoon Faria de Lima
Founder

20+ Scientific Olympiad medalist. CS @ ETH Zurich. Previously an AI Engineer at BTG Pactual and Itaú Unibanco.

Pavoot
Pavoot
TierC Tier
BatchSpring 2026
StatusActive
LocationSan Francisco, CA, USA
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