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

Build vs. Buy: AI Product Intelligence Platform That Actually Works

Teams spend months stitching together insights across tools, often with fragile workflows and manual tagging. Bagel AI connects it all instantly, without spreadsheets, dashboards, or engineering time.

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Jira
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Loved by leading product teams at
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hivebrite
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honeybook

Turn Feedback Into Action

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Go From Feedback to Product Impact

See what customers are asking for and what’s actually blocking revenue or adoption. Bagel connects insights from Gong, Salesforce, Zendesk and more directly to your roadmap.

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Let AI Handle the Repetition

No more tagging tickets or summarizing calls. Bagel’s AI groups feedback by urgency and impact, and ties it to deals, churn risk, or feature gaps, automatically.

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Prioritize What Moves the Needle

See which product ideas are linked to open opportunities, retention risks, or usage drop-offs. Build what’s needed now, not what’s loudest.

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Work Where You Already Are

Push product updates to Jira. Sync blockers to Salesforce. Share feature progress without switching tools or chasing down teams.

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Align Teams Instantly

Give GTM and product shared visibility into what’s live, what’s next, and why it matters. No more chasing down updates.

Why Teams Don’t Build It Themselves

What Bagel AI Does
Automatically connects feedback to revenue, churn, and deal impact
Where Internal Builds Fall Short
Requires building and maintaining custom logic to link product data with CRM and revenue metrics
What Bagel AI Does
Works inside Salesforce, Gong, Zendesk, Jira and more out-of-the-box
Where Internal Builds Fall Short
Needs custom-built integrations for every GTM system, plus ongoing maintenance
What Bagel AI Does
Organizes feedback using a company-specific AI model trained on your data
Where Internal Builds Fall Short
Relies on manual tagging, static rules, or complex in-house NLP pipelines
What Bagel AI Does
Surfaces themes, blockers, and product gaps automatically
Where Internal Builds Fall Short
Requires building clustering logic, retraining models, and human QA for accuracy
What Bagel AI Does
Prioritizes what to build based on business impact and urgency
Where Internal Builds Fall Short
Product ops or analysts create custom scoring models, often in spreadsheets
What Bagel AI Does
Pushes aligned updates into tools teams already use
Where Internal Builds Fall Short
Internal teams must create manual workflows or notifications to inform GTM
What Bagel AI Does
Syncs feature delivery with Jira automatically
Where Internal Builds Fall Short
No native visibility unless engineered separately. Updates often delayed or missing
What Bagel AI Does
Goes live in under 14 days, no engineering required
Where Internal Builds Fall Short
6–12+ months to build, test, and socialize internal tools before teams see value
What Bagel AI Does
Built-in security & compliance (SOC 2 Type II)
Where Internal Builds Fall Short
Requires infosec audits, role-based access control, and ongoing compliance upkeep
The AI product teams actually trust

Built to decide, not just analyze

Bagel learns your product language, flags what’s urgent, and links it to revenue. Automatically.
While others summarize, we generate decisions your team can act on.

We already replaced:
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UserVoice
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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 Ivri
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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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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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 replaces months of engineering, tagging, and manual workflows with a dedicated platform that connects feedback to revenue out-of-the-box. Instead of spending quarters integrating Jira, Salesforce, Gong, Intercome and others, teams can go live with Bagel in under 14 days with no custom logic or dashboards needed.

Bagel AI uses a company-specific model trained on your internal taxonomy, customer language, and product context. Unlike generic feedback tools or internal keyword tagging, Bagel surfaces themes, blockers, and revenue-linked insights automatically so product teams know what to build and why.

While Bagel is purpose-built for product managers and product ops, it’s used daily by RevOps, customer success, sales, and GTM teams. Everyone sees the same source of truth what customers are asking for, what’s blocked, and what’s shipping inside the tools they already use.

Yes. Bagel comes with native integrations for Jira, Salesforce, Gong, Zendesk, Slack and more. It not only pulls data from these tools but also pushes updates back into them so teams stay aligned without adopting a new dashboard.

Bagel AI operates globally with customers across North America, EMEA, and APAC. The platform supports distributed product teams, multilingual feedback, and localized taxonomies when needed.

Absolutely. Bagel AI is SOC 2 Type II compliant, built on secure cloud infrastructure, and designed for enterprise data handling. We work with companies in regulated industries and provide full audit and access control features.

Mid-market and enterprise SaaS companies choose Bagel AI when they want faster product decisions, tighter GTM alignment, and clearer revenue impact without building internal tooling. From fintech to vertical SaaS, teams use Bagel to replace tagging, spreadsheets, and unclear roadmaps with one unified source of product truth.