Financial Analysis Engine
Analyzes spending, income trends and behavior to drive insights and budgets.
- Pattern recognition on financial time series
- Anomaly detection for unusual spend
- Budget optimization heuristics
- Cash-flow prediction
Understand how FinFin AI works: our models, data handling, controls, security and change historyβwritten for humans.
Each recommendation includes an easy explanation of the inputs and reasoning used.
We document models, thresholds and updates so you can see how the system evolves.
Built with fairness testing, conservative defaults and user-first privacy choices.
Current components, versions and the latest changes.
| Component | Version | Purpose | Last Update | Change |
|---|---|---|---|---|
| Financial Analysis Engine | v1.7.3 | Spending patterns & budget insights | 2025-10-20 | Reduced false spikes; seasonal spend modelling |
| Risk Assessment | v0.9.9-beta | Debt/overdraft early-warning | 2025-10-12 | Threshold tuning; user adjustable sensitivity |
| NLP Assistant | v2.1.0 | Natural language entry & explanations (TR/EN) | 2025-09-28 | Better date/money parsing; multi-language fixes |
Note: Some version bumps are delivered via remote config (no app update). Critical changes trigger an in-app notice.
Analyzes spending, income trends and behavior to drive insights and budgets.
Reads market trends and risk tolerance to suggest portfolio adjustments.
Combines signals to surface debt and overdraft risks early.
Understands your free-text (or voice) and produces structured entries.
A conservative pipeline with human-readable explanations at the end.
User-entered records; optional telemetry (no raw PII).
Time-series features & seasonality.
Debt, overdraft, recurring drains.
Budgets/goals context and preferences.
Cross-checks & thresholds.
Plain-language rationale + edit/ignore.
User-entered finance data (income, expense, goals), app settings, optional anonymous metrics.
Store card numbers, full IBAN or raw passwords. External bank logins are not required.
| Data Type | Purpose | Retention | Deletion |
|---|---|---|---|
| Financial Records | Core features | Until user deletes | In-app: Settings β Data β Delete My Data |
| Error/Crash (optional) | Diagnostics | 90 days | Consent off + early deletion on request |
| Usage Analytics (optional) | Product improvement | 180 days | Opt-out stops future; past anonymized in 30 days |
Portability: Export CSV/JSON via Settings β Export.
Find all switches in Settings β Privacy.
| Event | Fields | PII? | Purpose |
|---|---|---|---|
| app_open | app_version, platform, locale | No | Compatibility & localization |
| txn_add | amount_range, category, currency | No (range) | UX improvement & suggestions |
| crash | stacktrace, device_model | Optional (user_id with consent) | Bug fixing |
Events in the last 12 months affecting user data would appear here.
Reduced weekly-spend false positives from 18% β ~7% on validation sets.
Added user sensitivity control; tuned thresholds for overdraft warnings.
Whitepaper coming soon: FinFin AI Technical Whitepaper (PDF)
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