Inside Signals.
Run one research brief across every frontier model, check each finding against the open web, and keep the workspace live as the world changes.
From a research question to a workspace you keep open.
Get set up
A workspace, a clear question, and a first run across the models.
Open the app, the work's already moving.
The moment you sign in, Signals hands you a workspace: the home for one research program. A few sessions are already going, so you're not staring at an empty screen wondering where to begin.
- The workspace holds everything: your runs, findings, structure, and brand.
- Each session is its own line of research. Pick one up and keep going.
- Everything you do from here builds up in the same place, run after run.
Pin down the real question first.
A short chat works out the scope, the audience, the time horizon, and what to leave out. That brief drives every step after it, and you can edit it later and run again.
- The chat draws out your objectives, your scope, and what to skip.
- Every later step traces back to the brief, so the answer stays on the question.
- Anyone with access can edit it, and the old versions stick around.
Put every frontier model on it at once.
Each run sends your brief to the big models from OpenAI, Anthropic, Google, xAI, DeepSeek, Mistral, Meta, Alibaba, and Moonshot. When their answers overlap, we fold them into one finding and note which models agreed.
- Several models at once beats one model working alone.
- Overlapping answers get folded into a single finding.
- You can see where the models landed on the same answer on their own.
Trust the findings
Check each finding, read it your way, and pull the best together.
See the evidence behind every finding.
A finding is more than a paragraph. It comes with its sources, a verdict on each one, and the reasoning behind how confident it is. We check the claims against the open web, and anything that contradicts them stays on the record.
- Each source is marked as supporting, contradicting, unrelated, or unreachable.
- Confidence comes from those verdicts, not from the model's own say-so.
- When the sources disagree, the finding says so.
A radar you actually work in.
Findings land on a radar: quadrants for your categories, rings for whatever metric you pick, like readiness, impact, or urgency. It's how you move around the work, not a chart you save for the last slide.
- Your categories, metrics, and tags set the layout, defined once for the workspace.
- Click to read, filter to narrow it down, or copy the URL to share the exact view.
- The same findings also read as a table, a card grid, or one detailed view.
Cherry-pick findings across every run.
Findings don't have to stay in the run they came from. A set pulls the ones you want from anywhere in the workspace, shaped for a particular story or audience.
- Pick findings from across many runs and gather them into one set.
- A set points at findings rather than copying them, so nothing drifts out of sync.
- Brief an exec, prep a workshop, or seed the next run.
Keep it alive
The workspace compounds over time, and you can reshape it anytime.
It gets sharper every time you re-run.
Runs stack up inside the workspace. Re-run the brief next quarter and the radar shifts: findings get added, verified, revised, or retired. The activity feed stamps every change with a time.
- Categories, metrics, tags, and workflows stay on the workspace across every run.
- The activity feed shows what was added, verified, revised, and retired.
- You set the cadence: weekly, monthly, quarterly, or whenever you want.
Change your mind, reshape the radar.
After a run, tell the analyst chat what to change: merge categories, raise the bar for verification, narrow the time horizon. The radar rebuilds as you go, and you can still trace where everything came from.
- The assistant can edit findings, sources, reports, and sets for you.
- While a run is going, edits are held so nothing collides.
- Every theme and report can be rebuilt from the findings underneath.
It keeps watch after you close the tab.
Pick a cadence and Signals re-runs the brief on its own, nightly, weekly, or monthly. It keeps an eye on your sources, catches what changed, and updates the radar without you asking.
- Re-runs on a schedule: nightly, weekly, or monthly.
- Between runs it flags new, moved, and dead links.
- Only what changed gets touched. The rest of the workspace stays put.
Make it look like your team built it.
You get your own brand, categories, metrics, and radar shape. The same engine runs underneath, but nothing about it looks off-the-shelf.
- Pick your accent, dark surface, and radar geometry.
- Set the workspace up once and every run inherits it.
- Publish a run publicly, keep it private, or share read-only.
Get it past your security team.
Bring your own AI gateway key, your own SSO provider, and your own access policy. Signals stays out of your auditor’s way.
Run on Vercel AI Gateway with your own keys and rate limits. You pay the models directly, so the AI bill from us is €0, and the audit trail stays in your workspace.
Sign in through your own provider, scope access to your organization, and hand out owner, editor, and viewer roles. Runs and findings all follow the same rules.
Publish a run as a public page, keep it private to your org, or share a read-only set with one partner. Every finding carries its own visibility.
32 frontier models tested on 12 industries.
We grade every model on the same axes we use inside the product: verifiability, specificity, currency, and coverage. Open methodology, open data, refreshed quarterly.
See it on a question you actually have.
One run on our credits. It becomes the first run of your workspace if you keep going.