Built for finance, accounting, and M&A teams

From raw trial balance toboard-ready P&L in 60 seconds.

P&L, AR aging, EBITDA bridges, journal entry testing, quality of earnings — from your raw exports.

Drop in QuickBooks, NetSuite, Sage, Xero, or any spreadsheet. AI builds the report, cites every number, and runs everything in your browser. Your financials never leave your machine.

P&L from trial balance Quality of earnings AR aging schedule Variance analysis JE testing

Browser-only — your data never hits our server·Big-4 accounting heritage·DuckDB-WASM speed

Same data. Different output.

Your trial balance, on the left. Your board P&L, on the right.

No mapping. No setup. The AI inspects the data, figures out the sign convention, classifies accounts, and builds the formatted output.

What your ERP gives you

trial_balance_oct.csv

Account

Debit

Credit

4000 - Sales Revenue

1,245,000

4010 - Service Revenue

418,500

4090 - Other Income

12,300

5000 - COGS - Materials

498,000

5010 - COGS - Labor

187,400

5020 - COGS - Freight

23,890

6010 - Salaries & Wages

215,000

6020 - Marketing

47,200

6030 - Rent

38,400

6040 - Software

21,100

6050 - T&E

14,200

6090 - Other OpEx

8,750

7100 - Interest Expense

12,000

7200 - Tax Provision

85,400

Now figure out the signs, classify the accounts, build subtotals, format for the board...

What GPTBeyond gives you

Profit & Loss — October 2026

~60s

Revenue

1,675,800

COGS

(709,290)

Gross Profit

966,510

Operating Expenses

(344,650)

Operating Income (EBIT)

621,860

Interest Expense

(12,000)

Pre-Tax Income

609,860

Tax Provision

(85,400)

Net Income

524,460

GP Margin

57.7%

Op Margin

37.1%

Net Margin

31.3%

Every number traces back to the source row. Click to verify.

Same approach for balance sheets, AR aging, EBITDA bridges, variance analyses, JE tests. Drop the file, get the output.

See it run

Three monthly TBs. One quarterly P&L.

This is the actual canvas. The AI builds the workflow, runs each node, and renders the output. No editing tricks — it’s what you get when you drop your files into /try.

gptbeyond.com/try

Browser-only

AI Assistant

TB Oct

142 accounts

TB Nov

148 accounts

TB Dec

145 accounts

Union All

435 rows

Classify

CASE WHEN

Build P&L

Formatted

Trend Chart

Multi-line

Output preview

P&L renders here...

Console

Waiting for workflow...

The privacy moat

The only AI finance tool that never sees your numbers.

Built on DuckDB-WASM. Every file you upload — trial balances, target financials, AR aging, GL detail — is parsed and analyzed entirely inside your browser. No upload. No server. No data residency to negotiate.

🔒

NDA-safe FDD

Target financials stay on your machine. No data room exfiltration. No risk to the engagement.

⚖️

Audit-privileged

Auditor working papers and client data never leave the auditor’s laptop. Independence preserved.

⚡

Instant analysis

No upload wait. No server round-trip. DuckDB-WASM crunches multi-GB files in your browser.

Other AI finance tools — Vic.ai, Numeric, Datarails, Mosaic — require uploading sensitive financials to their cloud. We don’t. Verifiable: open your browser’s network tab and watch.

Four professions. One workspace.

Built around the workflows that eat your week. Each one ships a sourced, formatted output — not raw output you have to clean up in Excel.

Controllers

Month-end close

Trial balance → formatted P&L with subtotals, AR aging, variance vs budget. All cited.

M&A teams

FDD & Quality of Earnings

Target financials → normalized EBITDA, add-back schedule, working capital bridge, customer concentration.

Auditors

Substantive testing

GL detail → JE testing, round-dollar flagging, weekend posts, duplicates, threshold breaches.

FP&A

Variance & analysis

Actuals + budget → variance analysis with commentary, top drivers, MoM trends, ranked drivers.

Drop-in templates

16 templates. Upload, run, ship.

Pre-built for the workflows finance teams actually run weekly. Open any template, drop in your file, get a formatted output you can hand to a client, board, or audit team.

Controller

P&L from Trial Balance

Controller

Balance Sheet (formatted)

Controller

AR Aging Schedule

Controller

AP Aging by Vendor

M&A

Quality of Earnings Workbook

M&A

EBITDA Bridge & Add-Backs

M&A

Working Capital Analysis

M&A

Customer Concentration

Auditor

Journal Entry Testing

Auditor

Round-Dollar Detection

Auditor

Bank Reconciliation

Auditor

Duplicate Invoice Detection

FP&A

Budget vs Actual Variance

FP&A

Revenue by Customer Cohort

FP&A

Monthly Trend Analysis

FP&A

Cash Flow Walk

See all 30+ templates

Plain-English questions. Audit-grade answers.

Every number is sourced. Every transformation shown. Click any cell and trace it back to the row in your upload.

"Build me a P&L from this trial balance, properly pivoted with subtotals."

"Run AR aging by customer with 30/60/90/120+ buckets, sorted by total."

"Variance analysis vs budget, top 10 line items by absolute variance."

FP&A

"Normalize EBITDA — strip owner perks, one-time items, run-rate adjustments."

QoE

"Show me revenue concentration — top 10 customers as % of total."

QoE

"Working capital bridge from December to June, by component."

QoE

"Flag any journal entries with round dollar amounts above $50,000."

Audit

"List manual JEs posted on weekends with no approver name."

Audit

"Reconcile my GL cash to the bank statement, show unmatched both ways."

Audit

"Show me revenue by month with YoY % change and trailing-12-month average."

FP&A

Universal input

Every ERP export. Every messy file.

No integration setup. Drag in whatever your accounting system spits out — the AI figures out the schema.

QuickBooks

GL, P&L, TB, AR

NetSuite

Saved searches, GL

Sage

Intacct, 50, X3

Xero

Full export

SAP / S/4HANA

GL extracts

Oracle

EBS, Fusion

Microsoft Dynamics

GP, BC, F&O

Generic CSV / Excel

Anything

Multi-sheet Excel files, password-stripped PDFs of tables, raw text dumps — the AI handles them. No mapping screens. No 6-week implementation.

How much of your month do you get back?

Move the sliders. Be honest about the hours close and variance write-ups currently take.

Your current month

Be honest. Closes, variance write-ups, ad-hoc analysis — all of it.

Hours on month-end close40

5 hrs40 hrs80 hrs120 hrs

Hours on variance & ad-hoc analysis12

2 hrs20 hrs40 hrs60 hrs

You currently spend

52 hrs/month

on close + variance work

With GPTBeyond

Same outputs. AI does the build — you review.

New time spent

13 hrs/month

Time saved

39 hrs/month

= 468 hours per year back to your team

That’s 12 work weeks reclaimed annually — enough to take on one more close or one more diligence engagement.

Why not just use ChatGPT?

Because audit-grade output needs more than text.

ChatGPT

Big-4 consultant

GPTBeyond

Handles a 50 MB trial balance

Choke at 5MB

Possible

✓ DuckDB-WASM

Cited sources on every number

✗

✓

✓ Full lineage

Data leaves your machine

Yes (their cloud)

Yes (sharepoint)

✗ Never

Formatted P&L output

Raw text

Slow Excel work

✓ Auto-pivot

Time per close

~hours back and forth

~days

~60 seconds

Cost

$20/mo + your time

$5K-50K / engagement

< $200/mo

Wealth advisors & FinTwit

Also building the LinkedIn engine for advisors

Daily market intelligence + auto-generated LinkedIn posts with sourced charts. Built on the same engine, focused on a different workflow.

See the advisor product

Common questions.

How can the data never leave my machine? Surely the AI sees something.

The AI sees the file's schema (column names, types, sample rows of 5-10 records) to generate the SQL. The full file body — every transaction, every dollar amount — stays in your browser's memory and is queried locally via DuckDB-WASM. You can verify this in your browser's network tab: no file upload requests, ever.

What file types and sizes does it handle?

CSV, multi-sheet Excel (.xlsx), JSON, Parquet. Sizes: up to ~50-100MB comfortably in the browser, larger if you have lots of RAM. Far bigger than what ChatGPT or Numeric can take. For 1GB+ files we have a desktop path.

How does this handle different P&L sign conventions across ERPs?

Built-in. The AI inspects the raw data first to detect convention (Debit/Credit columns vs signed Amount vs absolute values), then normalizes before building the report. Revenue and expenses both come out as positive numbers in the final P&L, and Net Income is always less than Gross Profit — sanity-checked automatically.

Can I trace every number in the output back to a row in my upload?

Yes. Every cell in the output table links back to the rows that produced it via the SQL transformation that generated it. Click any cell, see the lineage. This is what makes it audit-grade.

Does it work for M&A quality of earnings analyses?

Yes. Drop in target financials (TB, GL detail, customer/revenue data) and run the QoE template. The AI normalizes EBITDA, flags add-backs, builds the working capital bridge, computes customer concentration, and produces a workbook you can hand to a deal team.

What about audit testing — JE testing, round-dollar detection?

Yes. Upload GL detail (any standard export), and the AI runs threshold flags, weekend post detection, round-dollar tests, manual-entry filters, duplicate testing, and other standard substantive procedures. Output is in a format your engagement partner expects.

How is this different from Datarails / Mosaic / Cube?

They're cloud-based FP&A platforms with weeks-long implementations and per-seat pricing. We're a browser-based analysis engine you can use today, with no setup, no upload, no contract. Different shape for different jobs.

Drop in your trial balance.

See your first formatted P&L in under a minute. No setup, no upload, no risk. Your data stays in your browser.

Try it free

Free to start. No credit card. Browser-only.