
Bagel AI is the first AI-native Product Intelligence platform designed to connect product decisions directly to business impact by extracting and consolidating insights from multiple feedback sources such as Salesforce, Gong, Zendesk, and Jira. It uses company-specific AI models to identify product gaps, customer pain points, and deal blockers, quantifying their revenue impact and aligning product and go-to-market (GTM) teams for better collaboration and faster decision-making. The platform automates feedback triage, deduplication, routing, prioritization, and update distribution, embedding seamlessly into existing workflows and tools like Slack, Salesforce, Jira, and Zendesk. Bagel AI helps product teams prioritize features based on real-time evidence and business value, driving growth, reducing churn, and improving client onboarding success. It is SOC2 Type II compliant and emphasizes data privacy with minimal PII exposure. The company recently raised a $5.5 million seed round to scale its technology and customer base, positioning itself as a competitive advantage for modern SaaS organizations seeking smarter, revenue-connected product intelligence.

Bagel AI is the first AI-native Product Intelligence platform designed to connect product decisions directly to business impact by extracting and consolidating insights from multiple feedback sources such as Salesforce, Gong, Zendesk, and Jira. It uses company-specific AI models to identify product gaps, customer pain points, and deal blockers, quantifying their revenue impact and aligning product and go-to-market (GTM) teams for better collaboration and faster decision-making. The platform automates feedback triage, deduplication, routing, prioritization, and update distribution, embedding seamlessly into existing workflows and tools like Slack, Salesforce, Jira, and Zendesk. Bagel AI helps product teams prioritize features based on real-time evidence and business value, driving growth, reducing churn, and improving client onboarding success. It is SOC2 Type II compliant and emphasizes data privacy with minimal PII exposure. The company recently raised a $5.5 million seed round to scale its technology and customer base, positioning itself as a competitive advantage for modern SaaS organizations seeking smarter, revenue-connected product intelligence.
What they do: AI-native product intelligence platform that consolidates feedback and company data to prioritize product work by estimated revenue impact
Headquarters: San Francisco, United States
Founders / CEO: Itai Danino; Ohad Biron (CEO & co-founder); Yuval Nachman
Recent funding: Seed round announced Apr 23, 2025
Employee count (reported): Approximately 11–50 (one snapshot listed 37)
Product intelligence / customer feedback consolidation to align product decisions with revenue impact
2022
SaaS / Product intelligence
5500000.00 USD
Seed round announced Apr 23, 2025; multiple investors named (total of nine investors reported)
“Seed round led by at.inc/ with additional individual and institutional investors including Udi Mokady, Guy Horowitz, Oded Gal, Edward Filippi, Sean Regan, Loyal VC, Demo Capital, CS Angel”