What's real, what's simulated
Synthetic demo. Every account, developer, signal, and agent query is fabricated. No real company is profiled. The scoring math is real; the data is illustrative.
A pure resolver clusters raw identifiers with deterministic bindings and probabilistic scoring, a human-review band, and Art. 17 erasure - all enforced in code. Nobody is pre-tagged as resolved; the status is computed. Runs live on every account page.
A concave saturation curve means the first real signals move the needle and repeated noise can't game the score. Same math on the demo - drag the weights and watch it re-rank.
This is an independent teardown of Reo.Dev (the AI-native developer-GTM platform, $4M seed led by Heavybit), attacked on three flanks: Glass-box scoring, Agent-native capture, Execution-grade UX. Any vendor metrics cited are their own self-reported positioning, not verified facts. Identity-resolution match rates in this space are notoriously hard - this demo doesn't claim to have solved them, and it isn't legal advice.
The thesis
Developers are the new buyers. They evaluate by doing - and now by sending their agents to do it for them - weeks before a buyer ever appears in your CRM. Traditional intent data sees none of it. Plume clears the pipeline fog.
Two structural shifts make this a category: developers adopt bottom-up (the buyer signs the check weeks later), and AI agents now do the evaluation - querying docs and calling MCP tools that never show up in a CRM. Plume is built for both.
See it in action