Bagel AI is a product intelligence platform that turns sales calls, support tickets and team chats into ranked, revenue-weighted product decisions for product teams and AI coding agents.
About
Bagel AI is a product intelligence platform that acts as what its vendor, Bagel Technologies Inc., calls a "company product brain." It addresses a common problem for product organizations: customer feedback arrives in many places—sales calls, support tickets, CRM notes and Slack threads—and someone has to triage, prioritize and scope it before a roadmap decision can be made. Bagel AI automates that work by ranking feedback according to the revenue or KPI impact at stake and delivering the resulting decisions to both human teams and AI coding agents.
The platform trains a dedicated model for each customer so it learns that company's product vocabulary, customer base and gaps. It connects to more than 100 tools, consolidates scattered signals into one place, and serves validated decisions to AI tools such as Claude, Cursor, Codex and Glean through the Bagel MCP server. Pricing is annual-contract based, with a Pro plan starting at $24K per year, and the company positions itself as an alternative to tools like Productboard, Enterpret and Aha!.
Key Features
Pricing & Fees
- Pricing: The Pro plan starts at $24K per year on a 12-month contract with no per-seat fees; Enterprise pricing is custom and quoted based on feedback volume (prices as of October 2026).
- 30-day pilot: A paid pilot runs on the customer's own data with full onboarding and support; its cost is deducted from the first year if the customer continues.
- Unlimited seats: Both plans include unlimited seats rather than per-user billing, and customers can pay with AWS or Google Cloud credits.
- Dedicated model per customer: Setup includes an AI model tailored to the customer's product, plus AI Product Opportunities, Discovery OS and Bagel MCP in the Pro plan.
Who It's For
Bagel AI is built for mid-size to enterprise product organizations where AI tools are already part of the workflow. The vendor names CPOs and CPTOs, product managers, heads of engineering, product operations teams and customer success leaders as target roles. Typical use cases include triaging large volumes of feature requests, justifying roadmap investments with revenue evidence, validating bets before building, and supplying AI coding agents with scoped product context so they build the right features rather than the loudest requests.
FAQ
What is Bagel AI?Bagel AI is a product intelligence platform that consolidates customer feedback from sales calls, support tickets and chats into ranked, revenue-weighted product decisions, and serves those decisions to teams and AI coding agents through an MCP server.
How much does Bagel AI cost?The Pro plan starts at $24K per year on a 12-month contract with unlimited seats, while Enterprise pricing is custom-quoted based on feedback volume; a paid 30-day pilot is available on the customer's own data.
Which tools does Bagel AI integrate with?Bagel AI connects to over 100 systems and serves decisions to MCP-compatible AI tools including Claude, Cursor, Codex, Glean and ChatGPT; Enterprise plans add custom-built integrations.
How does Bagel AI handle data privacy?The company states it is SOC 2 Type II certified, supports SSO, follows a minimal-PII-by-design approach, and does not use customer data to train other customers' models.
What does Bagel AI replace?The vendor positions it as an alternative to Productboard, Enterpret, Aha!, UserVoice, unitQ and Unwrap AI, as well as internal AI experiments for feedback triage.
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