Feature
Deep Research
Ask a hard question and Alias digs in. It reads across sources and models, checks the facts against each other, and hands you one clear answer with the receipts.
Many models, one answer
Several models research in parallel and their findings are compared, so a claim only survives if more than one of them can support it.
Every claim is cited
Answers carry links back to the source that supports them, so you can check anything that matters before you rely on it.
It says when it is unsure
Where the sources disagree or run thin, Alias tells you that instead of picking the most confident sounding version.
How it works
- 01
Ask the real question
Long, specific and messy is fine. More context means a better search.
- 02
Alias reads widely
It searches the live web, your connected documents, and its own knowledge, then cross checks what it finds.
- 03
Read the brief
You get a structured answer, the sources behind it, and a note on anything still uncertain.
Try asking
Compare the last three years of revenue and margin for the four biggest players in my industry, with sources.
What does current evidence actually say about creatine for people over fifty? Separate strong from weak studies.
Give me a briefing on the regulation changing in my sector this year and what it means for a small business.
Questions
- Does it search the live web?
- Yes. Deep Research reads current sources at the time you ask, so it is not limited to what a model happened to memorise during training.
- How do I know it is not making things up?
- Claims are grounded against the sources retrieved for that answer and checked across more than one model. Anything Alias cannot support gets flagged rather than smoothed over.
- Can it research my own documents too?
- Yes. Connect a source such as Google Drive and Alias will search your material alongside the web, keeping the answer inside what your account is allowed to see.