Financial clarity for the globally mobile — across earning years, retirement, and what comes after. القراءة الكاملة
What you earn is shown to you in pieces — by payslips, by banks, by benefit providers, by brokerage statements. Nobody hands you the whole. Qleerly does the reading, the reconciliation, and the figure.
Most people who hold a globally mobile career operate on a partial read of their financial position. The salary line on a bank statement is net of an employer car loan. The employer's group insurance covers everything personal cover already pays for. School fees move out as expense, and come back as reimbursement, on a different timing. The picture you act on is rarely the picture that is true.
Qleerly ingests every source — bank, card, payslip, insurance, investment, asset, liability — runs a structured eight-question clarification, and produces one verified figure. Every number traces to a PDF page; click any figure to see the source row. Not advice. Not encouragement. The number, with the working shown.
→ Toggle the panel to see the same month, before and after the read.
The reading mechanism stays constant. What it reads — and what it surfaces — deepens with the chapter. The earliest read informs the last; the last is impossible without the first.
First international posting. Salary structure unfamiliar. Multiple currencies arriving. Benefits package never fully read.
Insurance complex. Property in two countries. Children's education. Investment endowments stacking. The picture fragments.
Contract end approaches. End-of-service unmodelled. Repatriation across three to five countries. Highest stakes; least clarity.
Assets settled across jurisdictions. Beneficiaries in multiple countries. The instructions you leave matter as much as the figure.
The first read at 32 becomes the foundation for the estate read at 62. The same mechanism. A longer memory.
A complete read is not a feature. It is an architecture — six layers, each of which represents work that cannot be shortcut by a model, an integration, or a connector. Together they describe why the read happens here, and not elsewhere.
Per-issuer parsers for the major GCC retail banks and card products — current accounts, credit cards, Diners, MasterCard, Shariah-compliant lines. Layout validation on import: the system refuses to ingest an unrecognised statement rather than guess at fields. No global tool has built this. Building it is twelve to eighteen months of data work that cannot be shortcut.
Why it holdsGCC retail banks do not expose open APIs at the depth required. PDFs are the source of truth and the parsing layer is the entry to the market.
Every aggregated figure resolves to a row in the transaction register, and every row carries the source PDF hash, page, line index, raw amount, raw description, and import timestamp. Fabrication is architecturally impossible — a number that cannot resolve to a page does not appear.
Why it holdsMost AI-assisted financial tools cannot answer "where did this figure come from." Qleerly answers it for every figure, every time.
An eight-question structured sequence — salary structure, employer loans, insurance, group policy, endorsements, contract and end-of-service, education reimbursement, annual bonus — field-validated on real expat compensation data. Separates employer-reimbursed items, investments, and insurance from real expense. This is the core IP.
Documented caseConverted an apparent salary deficit into a verified monthly surplus and an investment rate >15% — same data, structured reading.
A knowledge base of benefit structures across GCC industries — oil and gas, aviation, banking, construction — pre-loaded before a single employee logs in. School fee reimbursement caps, housing allowance bands, car benefit policies, end-of-service formulae. Each new client deepens it. Information not publicly documented; cannot be replicated without direct employer relationships.
Why it holdsConnecting a bank feed tells you what was spent. It cannot tell you what is reimbursable. Only employer-specific knowledge can.
QAR, GBP, USD, NGN, INR, PHP and others unified into one base-currency view with live conversion. Home-country accounts ingested alongside host-country accounts. Investment statements — endowments, offshore bonds, retirement plans — classified as wealth, not expense, so the contribution does not appear as a cost. Remittances tracked as structured cashflow.
Why it holdsNo global budgeting tool reads GCC-common investment plans. Without this layer, the financial picture is materially wrong.
For the personal product: statements never leave the device; no telemetry; no cloud sync; AI categorisation receives redacted merchant strings only, with account numbers and names stripped by a unit-tested redaction layer. For the workplace product: individual employee financial data is technically inaccessible to employer administrators — a data architecture, not a policy promise. Employers see aggregate, anonymised signal only.
Why it holdsAs AI finance products face increasing privacy scrutiny, architectural separation is a trust differentiator that policy commitments cannot match.
The reading mechanism is the same. The register changes — what the employer sees is not what the employee sees, and the architecture enforces that, not the policy. Choose the door that describes the relationship.
An employee operating on a partial read of their package — gross versus net, end-of-service, group insurance, education reimbursements, employer loan subsidies — is a churn risk and a salary-escalation risk. Workplace makes the whole package visible to them, and produces aggregate, anonymised signal for you. Sold as a retention layer. Not employee welfare. The retention figure shows up in your numbers.
For globally mobile professionals at any chapter — first international posting through estate years. Qleerly assembles the picture and tells you when something material changes. We do not move money. We do not give advice. We do the read. The personal product is local-first: your statements never leave your device.
If a creative or product decision does not advance one of these, we do not ship it.
Show the picture, do not decorate it. Specific numbers. Named institutions. Working shown. Clarity is the product and clarity is the brand.
We handle intimate financial information. Discretion is restraint in tone, restraint in colour, restraint in claims. We never shout. We earn attention by being correct, not loud.
Every figure is verified before it appears. Every claim is sourced. Every promise is one we can keep. This is the difference between intelligence and wellness.
Five lines. Founder-signed. Reviewed in public, each year. Each line describes an architectural fact, not a policy intention — the system itself enforces the words.
We are read-only. We never move money on your behalf, and the system has no capability to.
We do not sell your data. Not to advertisers, not to brokers, not to anybody — for any product tier, on any roadmap.
Your employer cannot see your numbers. Individual financial data is architecturally inaccessible to employer administrators — a system constraint, not a policy promise. Employers receive aggregate, anonymised signal only.
We give information, not advice. We tell you what is, with the working shown. You decide what to do with it.
Your data is yours, and deletable. Right to erasure on request. Full deletion within thirty days of contract end. No retention shadow, no archive trick.
Founder-signed · Reviewed each year · Public
Two doors. Choose the one that describes you. We write once when the first read opens, once when the next milestone arrives, and never otherwise.
For HR directors, CFOs, and reward leads exploring Workplace as a retention layer over the existing benefits stack. We will follow up with a one-page brief, a sample Total Package Value report, and pricing.
Reserved. We will write directly with the employer brief.
For globally mobile professionals reserving Personal CFO. Leave an address. We write once when the first read opens, and never otherwise.
Reserved. We will write once, when the first read opens.
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