Generate investor updates from your metrics — every number verified

Turn the spreadsheet you already maintain into an investor-ready update deck. The AI writes the narrative; your numbers come straight from your file, checked in code before anything ships.

Run a live demo on a sample fundraising dataset — no signup.

The problem

Sound familiar?

The monthly update grind

Every month the same ritual: export metrics, rebuild slides, rewrite the same narrative arc — hours lost on formatting instead of running the company.

One wrong number costs trust

Investors cross-check your figures. A transposed digit or stale metric in an update erodes credibility that took quarters to build.

Inconsistent story month to month

When updates are assembled by hand under time pressure, metric definitions drift and the narrative loses continuity.

How it works

Three steps, minutes of work

1

Upload your metrics file

The CSV or Excel export you already keep — MRR, ARR, churn, burn, runway. Schema is detected automatically.

2

Confirm the AI's understanding

Review how each column was interpreted, with confidence scores. Correct anything before a single slide exists.

3

Send a deck you can stand behind

Export a PowerPoint where every figure traces to a cell in your file — validated deterministically, not by the AI.

sample_saas_metrics.csv → Executive deck

Slide 2 of 8

Revenue momentum: MRR nearly doubled in H1

Monthly recurring revenueJan–Jun 2024
$85KJanFebMarAprMayJun

MRR · Jun 2024

$85,000

Verified · row 6

Churn · Jun 2024

1.9%

Verified · row 6

Every figure on this slide traces to a cell in the uploaded file — validated in code before export.

Investors will check your numbers. So do we — every value in the generated deck is diffed against your uploaded file in application code, and anything that doesn't match is rejected.

FAQ

Investor updates — common questions

Can I use InsightNarrative for monthly investor updates?+

Yes. Upload the metrics file you already maintain each month and generate an updated deck. Your corrections to how the AI interprets your data are remembered, so recurring updates get faster over time.

Will the AI change or round my fundraising metrics?+

No. Your numeric values are never modified. The AI is limited to interpretation and narrative; every number in the output is validated against your file before the deck is generated.

What metrics work best for investor update decks?+

Time-series financial and growth metrics work best: MRR, ARR, churn, CAC, LTV, cash balance, and burn rate. The included Series A sample dataset shows a typical structure.

Put verified AI reporting to the test

Upload your data and check the output against your own spreadsheet. Every number in the deck is validated in code — that's the point.