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Meridian is the AI-powered modeling layer for Excel that automates the work behind financial models, helping teams move faster without losing precision.

Hi, I'm the Meridian Agent!

I'm here to help you build powerful financial models and analyze your spreadsheet data.

Here are some things you can ask me to do:

Generating...

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Backed by leading investors shaping the future of intelligent finance

Meridian gives you confidence in your models. It automatically checks for inconsistencies, aligns your numbers with source files, and highlights errors before they become problems.

...and it feels familiar, because it works right inside the tools I already use every day.

Ask, fix, or build, right inside your spreadsheet.

Talk to your spreadsheet and let the agent handle the heavy lifting. Ask questions, fix errors, or have Meridian build full models and charts from scratch.

Perfect! Now let me add the key SaaS metrics section that an investment banker would analyze:

Sheet1!B18:F28

Updated 55 cells

Details

Now let me calculate the key metrics with formulas:

Sheet1!C19:F28

Updated 40 cells

Details

One workspace. All your files. Full context.

Attach multiple files to the Directory—PDFs, CSVs, or dataroom docs—and Meridian treats them as one connected workspace. It understands structure, links data across sheets, and keeps every assumption traceable. Built for real workflows, not single files.

Perfect! Now let me add the key SaaS metrics section that an investment banker would analyze:

Sheet1!B18:F28

Updated 55 cells

Details

Now let me calculate the key metrics with formulas:

Sheet1!C19:F28

Updated 40 cells

Details

See every formula and trace every number.

Every answer from Meridian is fully transparent and easy to trace. When the agent references a cell or range in conversation, you can click it to instantly trace that exact section in your spreadsheet. It's a simple but powerful way to review context, verify calculations, and maintain full confidence in your model's integrity.

Built into Your Muscle Memory

Work exactly as you always have, just faster. Meridian enhances Excel's native ribbon and shortcuts with AI intelligence, letting you move seamlessly between commands, prompts, and data.

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Designed for both Windows and macOS.

Intelligence inside your models

Meridian doesn’t just automate work, it understands your data, your models, and your logic.

Could you pull in EDGAR data for AST SpaceMobile and create an income statement for the last 3 years?

/ AGENTS RESPONSE

Thought for 3.4s

I'll pull AST SpaceMobile's financial data from EDGAR and build a professional income statement for you.

Fetch Company CIK

CIK

0001780312

Ticker

ASTS

Fetch 10-K Filings

10-K filled 2024-03-28 (FY2023)
10-K filled 2023-03-30 (FY2022)
10-K filled 2022-03-31 (FY2021)

Extract XBRL Financial Data

Parsing us-gaap income statement tags
Revenues, Cost Of Revenue, Research And Development Expense

Now let me populate the income statement with: Income Statement!A1:D37

Applying professional formatting

Income Statement

Sheet

Range

A1:D37

Cells

148

Status

Updated

Set Column Widths & Gridlines

Income Statement

Sheet

Range

A1:D37

Cells

148

Status

Formatted

I've pulled AST SpaceMobile's financial data from EDGAR and created a professional income statement.

Summary

148 cells modified

Hard-coded values

148

Formatting

148

Incoment Statement • 148 cells updated

Range

Section

A1:D7

Key Metrics

A8:D13

Revenue

A14:D19

Expense

A20:D25

Operating Loss

A26:D31

Net Loss

A32:D37

Basic EPS

Formatting Applied:

Investment banking color coding (blue inputs, black formulas)
Bottom borders above subtotals
Garamond font, gridlines hidden

Summary

Revenue ($0K): As expected for a pre-commercial deep-tech company, AST SpaceMobile has not yet recognized service revenue. This will change as the constellation becomes operational and carrier partnerships activate—representing significant upside optionality.
R&D Expenses ($41.8M → $112.8M): R&D has grown 170% over three years as the company scales engineering headcount, accelerates satellite development, and advances proprietary technology. This investment is building durable competitive moats in a market with extremely high barriers to entry.
G&A Expenses ($28.8M → $98.1M): G&A expansion reflects the buildout of corporate infrastructure necessary to support a global telecommunications business—legal, regulatory, finance, and partnership teams required to execute on carrier agreements across multiple continents.
Operating Loss ($70.6M → $210.9M): Operating losses are scaling according to plan as AST invests aggressively ahead of commercialization.

( 01: Integrate with your data sources )

Meridian connects seamlessly with the data sources finance teams rely on, from market data providers to internal systems and datarooms.

What changed between version 19 and version 20?

/ AGENTS RESPONSE

I've identified 4 key changes between v19 and v20

1. Peer Group Refinement - Cost of Equity Impact

Removed: Columbia Sportswear (reason: too cyclical)
Added: Lululemon Athletica (reason: better comparable)
Beta Impact: Raw beta decreased from 1.18 → 1.11
Cost of Equity: Decreased from 11.30% → 10.88% (a 42 bps reduction)
WACC Impact: Overall WACC decreased from 10.11% → 9.84%

2. 2025 Revenue Growth Assumption

v19: 3.0% YoY growth ($61.2M)
v20: 4.0% YoY growth ($61.8M)
Rationale: Updated to reflect stronger Q1 2025 preliminary results and improved omnichannel momentum

3. Operating Expense Margin

v19: 39.5% of revenue (forward years)
v20: 39.3% of revenue (forward years)
Rationale: Reflects management's updated guidance on store optimization initiatives

4. D/E Ratio Update

Target debt-to-equity: Updated from 12.5% → 12.9% based on refreshed cap table (Feb 2025 balance sheet data)
Valuation Impact: These changes collectively increased implied equity value by approximately $8.2M (~4.8% higher than v19).

( 02: Track version changes )

Ask what changed between models, and Meridian highlights every key update. Never lose sight of assumptions, edits, or rationale again.

How is revenue driven in this model?

/ AGENTS RESPONSE

I've analyzed your e-commerce financial model. Revenue is driven by a cohort-based acquisition and retention engine that tracks customer behavior over time:

Revenue Build-Up

New Customer Acquisition

↓

New Sessions × New Conversion Rate × New AOV = New Customer Revenue

Existing Customer Cohorts

↓

Repeat Sessions × Repeat Conversion Rate × Repeat AOV = Repeat Customer Revenue

↓

Total Gross Revenue

Current State (Aug 2013)

New Customer Economics:

New Sessions: 59,299
New Conversion: 1.19% → 708 new orders
New AOV: $72.81
New Revenue: $51.6K (42% of total)

Repeat Customer Economics:

Repeat Sessions: 26,624
Repeat Conversion: 2.45% → 652 repeat orders
Repeat AOV: $111.43
Repeat Revenue: $72.7K (58% of total)

Total Revenue: $124.2K

Key Driver Relationships:

1. Conversion Rate Gap

Repeat customers convert at 2.1x the rate of new visitors (2.45% vs 1.19%)
Implication: Focus on building the repeat customer base for more efficient revenue generation

2. AOV Premium

Repeat customers spend 53% more per order ($111 vs $73)
Shows increasing customer comfort and basket size over time

3. Mix Shift Dynamics

Revenue mix has shifted from 92% new (launch) → 58% repeat (current)
This signals improving unit economics as you scale

Primary Levers to Scale Revenue:

1. Traffic Acquisition

Grow new sessions via paid channels (see Customer Acquisition tab)
Current volume: 59K new sessions/month

2. Conversion Optimization

+0.5% new conversion → +$22K/month
+0.5% repeat conversion → +$15K/month

3. AOV Growth

+10% new AOV → +$5.2K/month
+10% repeat AOV → +$7.3K/month

Retention: Driving more repeat sessions from the 11,735 cumulative customers is the highest-leverage activity

This model drives revenue through a compounding flywheel - acquire new customers efficiently, convert them at higher rates on repeat purchases, and increase their basket size over time. The repeat cohort is now generating 58% of revenue at higher margins.

( 03: Explain your models )

Ask Meridian to break down what drives value in a model: revenue growth, margins, or cost assumptions. Get a clear, auditable summary.

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AI seamlessly inside your spreadsheets

Stay in Excel and let AI handle the heavy lifting, built specifically for finance teams who want automation without changing the way they work.

Gain confidence your numbers are right

Automatically reconcile data with source files, catch inconsistencies early, and ensure every assumption holds up.

AI that meets enterprise-level standards

Trace every action, manage roles securely, and rely on SOC 2–ready, audit-friendly infrastructure.