All use cases

You're publishing a point of view.

You're writing a trends report, a keynote, or a thought-leadership piece, and every claim needs visible evidence.What you walk away withA set of sourced, defensible signals you can build a report or talk around, each one citable and ready to refresh next cycle.

The job.

Turn a theme into sourced, defensible signals you can build a narrative on. Ground every claim in evidence you can cite, so the piece earns trust instead of inviting the "where did this come from?" question. Refresh it next cycle against the same structure instead of starting from a blank page.

Why Signals, here.

  • Every signal carries the sources behind it, so your published point of view survives the "where did this come from?" question.
  • Findings are checked across models, so the narrative rests on more than one tool's take or one author's hunch.
  • Next cycle's piece can deepen this one instead of starting from a blank page.

Open an example.

A real run you can open: radar, categories, and a source on every signal.

AI infrastructure scaling
31 models · 206 signals · 70 checked by more than one model
Other decisions

Questions

What does “verified” actually mean on a signal?

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.

Why run several models instead of one chatbot?

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.

What stops the AI from inventing a trend?

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.

Can I see the sources behind a conclusion?

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.

Can I limit it to peer-reviewed or high-quality sources?

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.

Which AI models do you use?

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.

What is a scan?

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.

What do I get back from a scan?

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.

How is the free scan different from a deep scan?

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.

Is there a free trial?

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.

Free scan

Start a thought leadership scan.

First scan is on us.