Products / Tabula
Tabula tabula · the recordData platform and AI data entry
Every fact about the business in one governed place, entered by AI and confirmed by a person. The record everything else reads from.
| Account | Currency | Balance |
|---|---|---|
| Cash | ARS | 1,240,500 |
| Cash | USD | 2,180 |
| Bank | ARS | 3,905,200 |
| Bank | USD | 4,310 |
| Mercado Pago | ARS | 441,000 |
| Card | USD | −3,247 |
| Cash position at today's rate | USD | 11,480 |
| Exchange difference, shown apart from profit | USD | +92 |
Accounts each in their own currency, from a two-founder importer. Sample rows; the layout is the live tool.
How it plugs into what you have
- Connects to what you already run: accounting (QuickBooks, Xero), spreadsheets and CSV exports, WhatsApp and email, any database or API we can read
- AI data entry turns PDFs, spreadsheets and chats into rows; a person confirms before anything is written
- Postgres, versioned and audited, with nightly backups; the object model every other system reads from
- What changes
- Nothing in the tools your team uses. Data keeps arriving the way it does today; it lands in one place, checked, instead of in six files.
In the field
- Photo Imagen: catalog, orders and accounts from daily supplier lists
- Kura Matcha: an operations ledger in two currencies
- Interlix: QuickBooks synced daily into one record
Further reading
Frequently asked
What is AI data entry?
AI data entry means documents and messages that used to be typed in by hand (supplier price lists in WhatsApp, Excel or PDF; invoices; plain-language sales or payments) are read by an AI model, turned into structured rows in a relational database, shown to a person as a preview, and written only after confirmation.
Can Arlem build inside our own cloud or on-premises?
Yes. Systems can run on infrastructure Arlem operates (Postgres, Caddy and pm2 on dedicated servers) or inside the client's cloud account. Either way the client owns the code, the data and the documentation.