One Product Brain
for What to Build Next!
See how Bagel helps your team and your agents build the right thing the first time
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What you’ll see in 30 minutes
Every request tied to its business impact
Bagel links each customer request to the account behind it and what it’s worth.
A ranked decision your agents can build from
Bagel ranks what to build and sends it to your coding agents as a dev-ready spec.
Proof after it ships
Follow each decision through launch and see if it delivered the impact it was ranked on.
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 security. Built for scale.
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.
Frequently Asked Questions
Product and engineering teams at hyper-growth, SME and enterprise companies. That’s everyone from the CPO and product ops to the PMs and developers building the work. Customer success and revenue leaders use it too.
If your team gets more customer feedback than anyone has time to read, there’s enough. Pricing is based on volume, so a smaller team pays for a smaller volume.
Yes. Customers include Gong, 8×8, Tipalti and Cato Networks, and Bagel MCP serves validated decisions straight to your team’s coding agents.
Finding opportunities hiding in your customer feedback, ranking what to build by business impact, handing dev-ready specs to engineers and coding agents, and checking after launch whether a feature paid off.
Yes. Bagel is SOC 2 Type II and keeps PII to a minimum by design. Each customer gets a dedicated model, and your data never trains another customer’s model. The details are in our Trust Center.
More than 100, including Gong, Salesforce, Zendesk, Jira and Slack. Bagel MCP connects to your coding agents.