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Features

Pre-launch

What Expaly does with your statements.

Fourteen capabilities, in four families: understand, watch, ask, control.

01Understand

A statement line becomes an expense you recognise.

The original label stays intact. Beside it, what Expaly makes of it: a merchant, a category, an explanation — and the confidence that goes with it.

שופרסל דילShufersalGroceries-215.00 ₪
  1. 01

    All your transactions

    Current accounts and cards land in a single normalised model, with the source of every line. Filter by account, category, period and status; search covers both the original label and the reading.

    One list to read instead of three apps to open.

  2. 02

    Understanding a transaction

    Every operation has a two-column record: the original bank data, never altered, and the product's reading, clearly marked as a reading.

    You can see where each statement comes from, and what is interpretation rather than fact.

  3. 03

    Merchant identified

    Behind an abbreviated, truncated or Hebrew label, Expaly names the real merchant. When it cannot, it writes "merchant not identified" rather than guessing.

    You know who charged you, not just how much.

  4. 04

    Categorisation

    Operations are filed in a stable taxonomy: groceries, restaurants and cafés, streaming, bank fees, cash withdrawals, and the rest. What isn't classified stays visibly unclassified.

    Totals per category, without filing every line yourself.

  5. 05

    Translation and explanation

    A Hebrew label stays on screen exactly as it is, in monospace, in its own writing direction — and gets an explanation next to it, in French, English or Hebrew.

    You no longer need to read financial Hebrew to understand your statement.

Example on synthetic data.

02Watch

What recurs, what changes, what falls outside the ordinary.

Expaly looks at your series rather than your lines. A recurring charge that rises, a merchant never seen, an unusual rhythm: each one dated, quantified and tied back to the operation it came from.

Recurring series
Expaly picks out series: same merchant, same order of magnitude, same rhythm. It proposes the recurrence with its frequency, next date and confidence level.
You see the structure of your fixed spending, not just its trace.
Subscriptions
A subscription derives from a recognised recurring series. It carries an amount, a frequency, a state, and one single decision to make — never two proposals for the same commitment.
The list of what you're committed to, kept current on its own.
Price increases
When a recurring amount changes, the gap is computed and the alert names it: old amount, new amount, percentage, and the operation concerned.
A few shekels more per month no longer passes under the radar.
Unusual transactions
An operation is compared against your own history: unusual amount, merchant never seen, different pattern. Expaly flags it and gives the reason.
You look at what deserves a look, not at 200 lines a month.
Alerts
Changes and anomalies gather on one screen, each dated, explained, linked back to the source operation, and dismissible once you've dealt with it.
A short list of things to decide, not a notification feed.

Attention

13 August 2026

Netflix

monthly · next on 6 Sept 2026

Old amount

49.90 ₪

New amount

54.90 ₪+10%

What these figures cover

5 June 2026 to 11 August 2026

An alert only holds for the period actually imported. Operations Expaly could not name stay shown as such, never guessed.

Example on synthetic data.

03Ask

A question in plain language, an answer computed on your data.

No language model over your finances: deterministic engines, on your own operations. The same question always gives the same answer.

  • How much did I spend this month?
  • Which payments come back every month?
  • Which subscriptions went up?
  • Which payments look unusual?
  • How much did I pay in bank fees?

Financial assistant

Natural-language questions resolved by deterministic engines over your data: spending across a period, recurring payments, subscriptions on the rise, unusual operations, bank fees. No language model, no financial data sent to an external service.

A numeric, reproducible answer you can verify line by line.

Reports

A summary per period: total, comparison against the previous period of equal length, breakdown by category — and, at the top, what the numbers actually cover and up to which date.

A figure that also tells you what it doesn't say.

What these figures cover : 5 June 2026 to 11 August 2026

Example on synthetic data.

04Control

Nothing is settled until you have confirmed it.

Every reading Expaly makes is a proposal. You confirm it, you correct it, and the product remembers. The household decides who sees what.

Confirmation and correction

Any proposed reading can be confirmed or corrected. A "to confirm" queue gathers what is waiting on you, and Expaly remembers your corrections for next time.

The product learns your actual life: your plumber, your school, your building manager.

Household

The household is the isolation unit for data: two adults included, each with their own access and role. An extra member joins for 10 ₪ per month.

A shared view without a shared account or a swapped password.

These screens already exist.

What isn't open yet is the automatic bank connection. Sign up to be told when it is.

Join the waiting list