Ingest financial models, prior coverage, and earnings transcripts, then draft structured research notes in the analyst’s own voice, ready for review.
It continues the thesis and reads in your house style.
Notes come out in your house style and structure, not flat AI prose, so the desk edits judgment and tone, not formatting.
Pulls estimate changes straight from the model and transcript, every figure linked, so the note and the numbers never drift apart.
Why analysts keep the draft and lose the busywork.
Drafts read like our own analysts wrote them, we edit the call, not the structure.
Coverage notes that used to take half a day are ready for review in minutes.
Every figure is linked to the model and transcript, so review is fast and safe.
It continues the thesis instead of restarting it, that is the difference.
Earnings season stopped being a bottleneck for the research team.
Drafts read like our own analysts wrote them, we edit the call, not the structure.
Coverage notes that used to take half a day are ready for review in minutes.
Every figure is linked to the model and transcript, so review is fast and safe.
It continues the thesis instead of restarting it, that is the difference.
Earnings season stopped being a bottleneck for the research team.
Notes read in your house style and structure, not generic AI prose.
Draws on prior coverage and the model so the note continues the thesis.
Every figure and claim links to its origin, ready to verify.
The assembly is done; analysts spend time on the call.
Templates aligned to your existing note sections.
Surfaces estimate changes, catalysts, and risks, not a flat summary.
Other workflows teams pair with this one.
See it run on your own data, in your environment.