🎉 Big News:Bagel AI just dropped on Google Cloud Marketplace

Why Product Teams Replace
unitQ AI with Bagel AI

When teams move from UnitQ to Bagel AI, they stop tracking issues and start driving outcomes.
Bagel AI connects customer feedback to revenue, renewals, and growth, showing which problems cost money and what to do next, not just what users mention.

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AI-driven product teams make better decisions with Bagel AI
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When Feedback Needs More Than Quality Alerts

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Build What Moves the Business

UnitQ shows what customers talk about.
Bagel AI connects every signal to deal value, renewal dates, and account tier so you can see which requests actually matter to the company, not just which ones are loud.

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Keep the Insight, Drop the Noise

UnitQ clusters feedback.
Bagel AI ranks themes by business impact using your CRM and ticket data. No extra tagging. No new dashboards. Just priorities that reflect what drives revenue and prevents churn.

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Context Without Hunting for It

With Bagel AI, customer voice, account value, and delivery status stay together in one place. Every request is tied back to the right account or opportunity, so teams never need to jump between reports or Slack threads to understand what is next.

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Work Inside the Tools You Already Use

No new platform to learn. Bagel AI brings product context straight into Salesforce, Jira, Zendesk, and Slack so insights appear where product, sales, and success already make decisions.

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One Version Everyone Can Trust

Bagel AI keeps product, sales, and success on the same page. Every update, blocker, and opportunity is shared with context, so decisions happen faster and every team moves toward the same measurable outcomes.

How Bagel AI Goes Beyond unitQ

What Bagel AI Does
Uses a dedicated AI model trained on your company data, not a shared one
Where unitQ Misses
Uses one generic AI model for all customers, not tuned to company data
What Bagel AI Does
Connects every feedback signal to revenue, renewals, and growth metrics
Where unitQ Misses
Focuses on sentiment and quality trends, not business or revenue impact
What Bagel AI Does
Automatically tags, groups, and ranks feedback by business impact
Where unitQ Misses
Requires manual tagging or dashboard work to act on insights
What Bagel AI Does
Finds related customers to show total ARR tied to each request
Where unitQ Misses
Treats each issue individually, without grouping related accounts or themes
What Bagel AI Does
Detects product gaps across sales, success, and support before revenue is lost
Where unitQ Misses
Detects bugs and issues but doesn’t show financial exposure
What Bagel AI Does
Syncs feedback and insights from Salesforce, Jira, Zendesk, and Slack automatically
Where unitQ Misses
Integrates broadly but lacks deep GTM data sync or in-tool visibility
What Bagel AI Does
Pushes product updates and insights back into GTM tools
Where unitQ Misses
Stops at surfacing insights, no pushback into Jira or CRM workflows
What Bagel AI Does
Quantifies roadmap ideas by dollar value and urgency, not just frequency
Where unitQ Misses
Prioritizes by frequency, not customer value or timing
What Bagel AI Does
Captures context from calls, notes, and tickets that other tools miss
Where unitQ Misses
Misses unstructured context from calls, notes, and ad-hoc feedback
What Bagel AI Does
Closes the loop by tracking results after a feature ships
Where unitQ Misses
No closed feedback loop linking fixes to business outcomes

Your data is safe with us

Bagel AI ensures top-tier security and compliance, protecting your feedback, roadmaps, and outcomes while seamlessly integrating with your tools. Focus on impact with confidence.

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The AI product teams actually trust

From Feedback Noise to Revenue-Ready Roadmaps

Most tools stop at summarizing feedback. Bagel AI ties every request to revenue, churn risk, and customer impact then turns it into prioritized action your team can deliver now.

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Your tools. Your workflows.
Smarter With AI.

Disconnected tools stall growth. Bagel AI transforms unstructured feedback into actionable insights, embedding seamlessly into GTM workflows and tools – so every signal turns into action with minimal effort.

Some good words from our customers

“Bagel AI helps us uncover blind spotsblind spots bringing evidence from different channels (sales calls, support teams etc.) making our product decisions sharper and more aligned with growth.”

Tarek
Tarek Kamoun
CPTO, Hivebrite

“Bagel AI has been a crucial tool for us in turning GTM team feedbackturning GTM team feedback into quantifiable insights. It provides clear evidence to justify investment in new features, ensuring we make informed, high-impact product decisions.”

Ido Ivri
Ido Ivry
Co-Founder & CTO, Zencity

“Bagel AI is unmatched in the industry! The bespoke model built for HoneyBook helped us prioritize the most impactful featuresprioritize the most impactful features cutting through the noise of our large user base. Highly recommended!”

Daniel Benor
Daniel Benor
Head of Product Innovation, Honeybook

“Completes the long-time missing part between revenue, product and the customer. It is a product market fit pulseproduct market fit pulse on autopilot”

Leeor Tipalti
Leore Jacobs
VP Product Operations Tipalti

Feedback doesn’t die!
It just gets buried in sales calls, support tickets, and someone’s “follow-up” tab in the CRM.
Bagel AI connects the dots before it’s too late

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Ready to see Bagel AI in action?

Connect the dots between feedback, roadmaps, and business wins. 
Let Bagel AI show you how feedback drives impact.

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FAQ – You ask, we answer

Bagel AI goes beyond detecting issues — it connects customer feedback directly to business impact.
While UnitQ focuses on product quality and sentiment, Bagel AI quantifies revenue, churn risk, and growth opportunities so teams can act on what truly matters.

Bagel AI builds a dedicated AI model for each customer, trained on their CRM, product, and GTM data.
UnitQ uses one shared model that classifies feedback by general patterns.
Bagel’s approach means every insight reflects your actual accounts, terminology, and business context.

Bagel AI is used by product, customer success, sales, and support teams together.
Product managers see roadmap impact. Success teams track renewal risk.
Sales sees which features unblock deals — all in the same shared view.

Yes. Bagel AI syncs automatically with Jira, Salesforce, Zendesk, Slack, and Gong.
Insights appear where teams already work — no need to switch platforms or copy data.

Bagel AI is headquartered in the United States and supports global organizations across North America, Europe, APAC, and LATAM. The platform is built for distributed teams with multi-language data, regional compliance, and cross-time-zone collaboration.

Yes. Bagel AI meets the highest enterprise standards for security and privacy. It supports SSO, role-based permissions, private VPC deployment, and SOC 2 Type II compliance. Detailed documentation is available for InfoSec and procurement teams on request.

Product and GTM teams that need to link decisions to business outcomes choose Bagel AI. Fast-growing SaaS companies, enterprise platforms, and PLG teams rely on Bagel to uncover which customer issues drive churn, renewals, or expansion—and to act on them automatically.

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