You are sizing up a market or technology you do not know yet.

Every signal carries its evidence. During a scan we run a source-and-verify pass: each claim is checked against the sources it came from, and those sources travel with the signal so you can open them yourself. “Verified” means the conclusion is backed by evidence we can show you, not a model’s say-so.

A single chatbot gives you one model’s view through one lens. Signals runs the same brief across multiple frontier models in parallel, each blind to the others, then merges and scores what they surface. Where the models converge you get a consensus signal; where one stands alone you get a more novel, potentially disruptive one. Their agreement is itself a quality measure: the result didn’t come from one model’s bias, it came through all of them.

Two things. Signals are grounded in retrieved sources rather than generated from memory, and a separate fact-checking step re-reads each one against its sources before it lands in your research record. A claim with no source behind it does not ship as verified. In practice about 95% of signals come back verified, and the rest are flagged for review rather than quietly kept.

Yes. Sources are attached to every signal, and you can trace a radar or report back to the evidence behind it. The whole point is research your team can defend.

Yes. Verification is configurable: require peer-reviewed sources only when rigor matters, or allow broader sources when you’re scanning for inspiration. Either way, every signal carries the sources it was checked against, so you can judge the evidence yourself.

A scan runs a multi-model pass rather than betting on one provider, routing through the Vercel AI Gateway to the major labs. We pick the model that does each step best (retrieval, verification, synthesis) instead of asking one model to do everything.

A scan is a multi-model pass over a research theme. It gathers sources, runs source-and-verify on what it finds, and returns a radar of signals with a starter report. Each signal includes sources you can check.

A radar of verified signals for the theme, the sources behind each one, and a starter report you can build on. If you run a free scan, that output becomes the first Session in your Workspace when you sign up.

The free scan is a starter Workflow on one theme, enough to see the method and the citations for yourself. A deep scan inside a plan runs the full source-and-verify, briefing-assistant, and assessment passes, and you can run them on your own themes as often as your monthly budget allows.

No trial, but every visitor gets one free scan: enter a research theme and we run a starter Workflow on us. The output becomes the first Session in your Workspace if you sign up.