Use case
Research that cites itself.
Map a market, scan a peer set, stress-test a thesis. Every claim links back to a filing, news article, or analyst note you can verify.
What it does
From "tell me about this market" to a sourced brief.
Your AI coworker pulls across public filings, recent news, expert call transcripts, and your own document library. Every paragraph in the output has citations. You can click through to verify before you act on it.
Patterns supported: market maps and TAM sizing, competitor positioning, customer / supplier landscape scans, thesis briefs with bull and bear cases, regulatory scans, and earnings recaps with quote-level evidence.
How it's different
Research you can defend.
Sources, not vibes
Every claim has a citation. Hover any sentence to see the source — page number, filing date, paragraph quote.
Bull and bear, not bull
Ask for the case against and you get the counter-thesis with its own evidence. Not optimistic summaries dressed up as research.
Long-context filings
Up to 1M tokens of context — entire 10-Ks, multi-year transcripts, dozens of expert calls in one pass. No more chunking.
What you say to it
One-line briefs, sourced output.
"Map the AI-coding-tools market and the top 12 players."
A landscape brief with positioning, funding, traction signals, and a sourced peer table.
"What's the bear case on this thesis?"
A counter-argument across filings, news, and analyst notes — with quotes attached.
"Summarise the last four earnings calls — what changed?"
A diff across quarters with the exact paragraphs that shifted, called out and cited.
Pull up a desk.
500 free credits. No credit card. Your AI coworker is ready whenever you are.