Make every feature count
Drive revenue, growth, and business impact by turning every piece of feedback and customer interaction into actions. Fully automated, natively integrated, zero silos.
Putting your product’s full potential to work
Automatic evidence consolidation
Let us handle the heavy lifting. Our AI continuously learns and adapts to your taxonomy, automatically identifying and extracting the most relevant product gaps and pain points from all feedback sources.
Bridging product, customers, and revenue
Automatically connect evidence to product ideas and initiatives, aligning revenue, customer needs, and business goals for unparalleled cross-functional collaboration
AI-Generated roadmap ideas
Considering your existing roadmap, our AI analyzes feedback, usage data, and revenue trends to generate high-impact product ideas that drive growth.
Metrics that prove ROI
Track feature adoption, uncover satisfaction trends, or quantify monetary impact. No matter which data points you need to measure your KPIs, we’ve got you covered!
Actionable!
Deliver on-time updates to every stakeholder directly in their everyday tools and workflows. No check-ins needed. Just clear, automatic, impact-driven actions!
Traditional feedback tools hoard data without action!
Continuously learning and adapting to your data, our platform identifies blind spots and uncovers growth opportunities unique to your company.
Bagel AI automatically extracts evidence from all data sources, links it to roadmap initiatives, and makes it visible in everyday tools turning feedback into actionable growth.
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.
What if your roadmap could talk in revenue?
Bagel AI ties every feature idea to customer evidence and revenue impact, so product decisions finally speak the language of the business.
Built for product teams, aligned for everyone
Product operations
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Forget about manual processes with auto-triage.
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Keep product and GTM teams aligned in real-time.
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Create a single source of truth for feedback and execution.
Product managers
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Automatically identify patterns in feedback and customer interactions instantly.
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Prioritize features based on impact, not opinions.
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Align roadmaps with customer needs and business goals.
Chief product officers
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Quantify the impact of product gaps on growth.
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Ensure cross-team alignment on strategy and execution.
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Drive revenue through smarter product investments.
Sales leaders
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Surface high-impact feature requests that help close deals.
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Align product priorities with revenue-driving opportunities.
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Eliminate feature gaps that slow down the sales cycle.
Customer success
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Track feature adoption to measure real customer impact.
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Spot churn risks early and act before it’s too late.
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Ensure customer feedback turns into real product improvements.
Putting your product’s
full potential to work
Your product is packed with features, but are they truly driving impact?
Some good words from our customers
“Bagel AI helps us uncover blind spots bringing evidence from different channels (sales calls, support teams etc.) making our product decisions sharper and more aligned with growthaligned with growth.”
“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.”
“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!”
“Completes the long-time missing part between revenue, product and the customer. It is a product market fit pulseproduct market fit pulse on autopilot”
“Every SaaS company hits a point where feedback piles up but decisions stall. Bagel AI turns that mess into clear, revenue-focusedclear, revenue-focused priorities.”
Enterprise-grade Product Intelligence Platform
Meets the highest data standards to support your entire organization. Enables cross-functional collaboration while keeping data access secure and internal.
AI Transparency
Complete visibility into how your data is handled and applied across Bagel AI Platform.
Enterprise-grade security
SOC2 Type II compliance for always-on protection you can trust.
Minimal PII by Design
Reduces exposure to personally identifiable information while keeping context intact privacy-first without sacrificing insight.
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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.
FAQ – You ask, we answer
Bagel AI is an AI-native Product Intelligence and Voice of Customer analytics platform for B2B companies.
It pulls customer feedback from tools like Salesforce, Gong, Zendesk, and Jira, then connects that feedback directly to revenue, churn risk, and active deals.
Instead of guessing what to build, product teams get a real-time view of what customers want, how urgent it is, and what it is worth in actual dollars.
Product teams are flying blind.
Customer insights are scattered across sales calls, support tickets, CRM notes, and internal tools. Feedback arrives late, stripped of context, or not at all.
GTM teams know what blocks deals and causes churn.
Product teams plan roadmaps without that signal.
Leadership debates priorities without shared evidence.
The data exists. It is buried, disconnected, and hard to quantify. That gap is where bad product decisions happen.
Bagel AI integrates with your existing stack and applies AI-driven feedback analytics to:
-Extract Voice of Customer data from calls, tickets, notes, and CRM updates
-Identify recurring product pain points and feature requests
-Group similar feedback across teams and sources
-Quantify revenue impact and churn risk
-Tie issues to specific accounts, segments, and opportunities
-Rank product opportunities by urgency and business value
The AI does the reading, clustering, and matching. Teams focus on decisions instead of manual cleanup.
Bagel AI is built for product teams, but designed for cross-functional alignment.
It is used by:
-Product managers and product ops teams prioritizing roadmaps
-GTM and sales teams surfacing deal blockers
-Customer success teams identifying churn risk early
-Leadership teams looking for clear ROI behind product bets
If your teams are tired of chasing feedback, arguing over priorities, or shipping low-impact features, Bagel becomes the shared source of truth.
Most feedback and VoC tools focus on collection.
Bagel AI focuses on decisions.
Instead of tags, surveys, or voting boards, you get:
-Ranked product opportunities
-Real revenue and pipeline context
-Insights backed by real customer conversations and accounts
Bagel does not ask teams to change how they work. It plugs into existing workflows and makes the data you already have useful.
No.
Bagel AI does not require manual taxonomy setup, tagging, or ongoing training by your team.
It uses customer-specific AI models that learn how your company talks about problems, features, and outcomes directly from your data.
The model improves over time without product managers maintaining classification rules that quietly die after a quarter.
Most teams see meaningful insights within days.
Once connected, Bagel AI starts analyzing historical and live feedback immediately, including open deals, churn risks, and recurring issues already sitting in your systems.
There is no waiting period. The signal is already there.
Bagel AI is built for precision, not generic summaries.
Each customer gets tailored AI models that adapt to their language, product, and market. Accuracy improves as the system processes more real conversations, tickets, and deal data.
This avoids the common failure of feedback tools that produce vague themes with no business relevance.
Bagel AI works where teams already operate.
Insights connect back to systems like Salesforce, Jira, and support tools, so teams see context without switching tools or maintaining another dashboard.
Bagel is not a destination product. It is an intelligence layer across your stack.
Because the hard part starts after the demo.
Internal builds usually underestimate:
-Model drift and accuracy decay
-Maintenance across multiple data sources
-Security, access control, and compliance
-Trust in outputs across teams
What starts as a quick experiment becomes an internal tool no one owns. Bagel exists so teams can focus on decisions, not infrastructure.
Bagel AI helps teams decide:
– What to prioritize next and why
– Which features are blocking deals or driving churn
– Where revenue risk is coming from
– Which customer problems are urgent versus just loud
The result is fewer opinion-driven debates and more decisions backed by evidence, context, and revenue impact.
Bagel AI is not another place to log feedback.
It complements and often replaces traditional feedback analytics, roadmap inputs, and internal dashboards by connecting customer signal directly to business outcomes.
Teams use Bagel AI when they want fewer meetings, fewer opinions, and clearer product decisions.
No.
Bagel AI is not affiliated with ByteDance or its open-source Bagel model.
ByteDance’s Bagel is a foundational AI research model.
Bagel AI is a purpose-built Product Intelligence and Voice of Customer platform for B2B product and GTM teams.
Different technology, different mission, no connection.
If you are looking for an AI platform that helps product teams know what to build, why it matters, and how it impacts revenue, you are in the right place.
