Every roadmap call, and the receipt that it worked.

Reava is an AI product development environment that turns scattered customer feedback into a revenue ranked roadmap, machine readable specs, and proof that shipping them worked. It connects to support tickets, sales calls, CRM notes, docs and survey tools, groups recurring signals into durable themes, and ranks each one by the lifetime value of the accounts behind it. The top priority becomes a spec your engineers or AI coding agents build from, and after it ships Reava measures whether the complaints stopped.

It groups recurring signals into one insight, then scores that insight by the revenue at risk: the lifetime value of the distinct customer accounts raising it, read from your CRM rather than estimated. A bug affecting four enterprise accounts worth $450,000 ranks above a feature request with 82 upvotes from free accounts. Each customer is counted once no matter how many tickets they filed.

When the linked issue closes, Reava opens an observation window on that insight and keeps matching newly arriving signals against the original problem for weeks afterwards. It shows the before and after signal volume and suggests a verdict, but a human confirms it, because Reava never records a resolution or a dollar figure on its own say so. Confirmed resolutions roll into a ledger of revenue de-risked, deduplicated per customer.

Support tickets (Zendesk), CRMs (HubSpot, Salesforce), issue trackers (Linear, Jira), docs (Notion, Confluence, Google Drive), email and meetings (Gmail, Google Meet), and survey tools (Typeform, SurveyMonkey). You can also upload a CSV or paste text directly, so you can get a ranked result before connecting anything.

You can, and with connectors a general assistant will happily summarise whatever you paste or pull in, so access to the data was never the differentiator. The difference is the job. A chat reply is a one off answer. Reava is a persistent system of record that continuously ingests every source, de-duplicates recurring signals into stable themes, and ranks them by the real revenue of the accounts behind each one, read from your CRM rather than estimated. Every figure traces back to the exact tickets, calls and lifetime values that produced it, so the ranking is reproducible and defensible in standup, and each winner ships as a versioned, machine readable spec instead of a paragraph you copy out of a chat.

Those solve how to build. Reava solves what is worth building, and whether it worked. It sits one layer above the editor and produces the revenue ranked, repo grounded spec those tools implement, so your agents spend their tokens on work that protects revenue.

A feedback board collects what users choose to submit and ranks it by votes. Reava reads what customers already said in the tools they said it in, groups it automatically without manual tagging, ranks it by account revenue instead of votes, and then measures the outcome after you ship. Nothing has to be submitted to a portal for it to count.

Only if you want specs grounded in your real files, which is optional. When you connect a repository Reava indexes it read only so specs can reference real paths, components and patterns. Everything else in Reava works without it.

Your signals stay in your workspace and are used to produce your insights, specs and outcomes. Connector credentials are encrypted at rest, and connectors request read only scopes. Full detail is in the privacy policy.