Powerful features for modern finance teams
Everything you need to analyze financial data, generate accurate forecasts, and make confident business decisions — all in one platform.
Financial Dashboard
Real-Time KPIs
Monitor Revenue, COGS, Gross Profit, Operating Expenses, and Net Income as you upload data.
25+ Financial Ratios
Automatic calculation of Gross Margin, Net Margin, Operating Ratios, and profitability metrics.
Period Comparisons
MoM, QoQ, YoY growth rates and CAGR calculations for any account or category.
P&L Statement View
Interactive profit & loss statement with drill-down capabilities and trend indicators.
Revenue
OpEx
Net Profit
Cash Flow
AI Forecasting Engine
Meta-Learning Model Selection
Our AI tests multiple models on your data and selects the best one for each account automatically.
7 Forecasting Models
Prophet, ARIMA, Exponential Smoothing, Linear Trend, Moving Average, and ensemble methods.
Confidence Intervals
Every forecast includes 95% confidence intervals so you understand the range of likely outcomes.
Seasonality Detection
Automatic identification of weekly, monthly, quarterly, and yearly seasonal patterns.
Deep Data Analysis
Pattern Detection
ML algorithms identify trends, cycles, and recurring patterns in your financial data.
Anomaly Detection
Isolation Forest algorithm flags unusual values for review before they affect your forecasts.
Account Clustering
Similar accounts are grouped together to improve forecast accuracy and insights.
Forecast Difficulty Scoring
Understand which accounts are easy vs hard to predict based on data characteristics.
Data Insights
Strong Seasonality
Revenue spikes detected in Q4 every year.
Anomaly Detected
Mar 2024 expenses are 2.4x higher than average.
Pattern Correlation
Marketing spend correlates 85% with Sales (2mo lag).
Data Intelligence
Smart Data Mapping
AI automatically classifies accounts as Revenue, COGS, Expenses — even with Arabic column names.
Format Detection
Handles any Excel or CSV format. Auto-detects date columns, headers, and data structure.
Data Quality Validation
Checks for missing values, duplicates, and inconsistencies before analysis begins.
Period Normalization
Converts daily, weekly, monthly, or quarterly data to consistent time periods.
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