Analyst Note Generation | Needl.ai
Needl.ai
Use case · Report Automation
70%+ less manual work

Research notes, drafted in your voice

Ingest financial models, prior coverage, and earnings transcripts, then draft structured research notes in the analyst’s own voice, ready for review.

needl.aiNote draft
Live
"Draft a coverage note from this quarter’s results."
Revenue beat by 2.1%, margin in line, guidance raised. Thesis intact; risk on input costs. Drafted in house style.transcript + model
Note structure
Summary and call ok
Estimate changes ok
Risks section review
House voice  Â·  100% source-linkedPrivate deployment

Not a generic summary, your note

It continues the thesis and reads in your house style.

Drafted in your voice

Notes come out in your house style and structure, not flat AI prose, so the desk edits judgment and tone, not formatting.

  • House style and sections
  • Estimate changes and a clear call
  • Risks and catalysts surfaced
needl.aiDraft
Live
"Continue the thesis from last quarter."
Pulls prior call, model deltas, and transcript into a structured note, in your voice.prior coverage
Context-awarePrivate deployment

Grounded in your model

Pulls estimate changes straight from the model and transcript, every figure linked, so the note and the numbers never drift apart.

  • Tied to your model
  • Transcript read against estimates
  • Citations throughout
needl.aiEstimate changes
Generating
+2.1%
Revenue â–²
+40bps
Margin â–²
Raise
Guidance â–²
Report draft
Linked to modelPrivate deployment

What teams say

Why analysts keep the draft and lose the busywork.

Drafts read like our own analysts wrote them, we edit the call, not the structure.

Senior Analyst, Asset Manager

Coverage notes that used to take half a day are ready for review in minutes.

Research Lead, Buy-side

Every figure is linked to the model and transcript, so review is fast and safe.

Head of Research

It continues the thesis instead of restarting it, that is the difference.

Portfolio Manager

Earnings season stopped being a bottleneck for the research team.

Director of Research

Drafts read like our own analysts wrote them, we edit the call, not the structure.

Senior Analyst, Asset Manager

Coverage notes that used to take half a day are ready for review in minutes.

Research Lead, Buy-side

Every figure is linked to the model and transcript, so review is fast and safe.

Head of Research

It continues the thesis instead of restarting it, that is the difference.

Portfolio Manager

Earnings season stopped being a bottleneck for the research team.

Director of Research

In your voice

Notes read in your house style and structure, not generic AI prose.

Context-aware

Draws on prior coverage and the model so the note continues the thesis.

Source-linked

Every figure and claim links to its origin, ready to verify.

Hours back per note

The assembly is done; analysts spend time on the call.

Your format

Templates aligned to your existing note sections.

Clear call and risks

Surfaces estimate changes, catalysts, and risks, not a flat summary.

0%+
less manual work
0%
source-linked claims
0%
in the analyst’s voice
0x
review, not rewrite

Put this workflow to work

See it run on your own data, in your environment.