📈 Forecasting
🔍 Exploratory Analysis
🎯 Anomaly Detection
📊 Regression
🗂 Classification
Context Graphs that work

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answers waiting.

Connect your data. Ask anything in plain English. Olive reasons through your data, builds a plan, and delivers insights — in seconds.

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Connect your data
📂
Drop file here or click to browse
.csv · .xls · .xlsx — single or multi-sheet
or use a file path
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5+
ML Tasks
10M+
Rows supported
<30s
Avg analysis
100%
Local & private
Platform preview

See it in action

The Olive interface streams AI reasoning and pipeline progress in real-time, then renders interactive results automatically.

Data Mode
50%
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Data Source
📄 store_sales.csv 3,000 rows
Ask Anything
Forecast the next 14 days
Run →
Thinking
"I will use a gradient-boosted tree approach for this tabular time-series forecasting. Rolling window cross-validation with time-series split ensures no data leakage. Feature engineering: lag values 1–7, rolling mean…"
Pipeline Steps
Aggregate Time Series 0s
Feature Engineering 0.01s
Cross-Validation 1.2s
Time Validation 0.3s
Train Final Model 0.6s
Generate Results 7.5s
MAPE
26.5%
Mean Abs % Error — prediction accuracy metric
RMSE
34.0
Root Mean Squared Error — penalises large errors
MAE
28.1
-0.501
CV MAPE
19.0%
Model
lightgbm
Forecast — next 14 days
Historical
95% CI
Forecast
150 100 50 Jul 13 Jul 27 Aug 10 Aug 24 Sep 7 Sep 21 Oct 5 Oct 19
Feature Importance (top 20)
lag_1
42%
rolling_mean_7
34%
day_of_week
27%
lag_7
21%
rolling_std_7
18%
month
14%
lag_14
10%
trend
7%
Residual Analysis
Residuals over time
Residual distribution
Capabilities

Every ML task.
One question.

Olive understands your intent, picks the right algorithm, and shows you its reasoning every step of the way.

📈
Time-Series Forecasting
LightGBM with lag features, rolling stats, and time-series cross-validation. Any horizon from days to quarters.
Forecast
🔍
Exploratory Analysis
Rankings, distributions, correlations, and summaries. Ask "top 10 selling days" and get an answer instantly.
EDA
🎯
Anomaly Detection
Automatically identifies outliers and unusual patterns in your data with clear visual explanations.
Detection
🧠
Olive Thinks Out Loud
Watch Olive reason through your problem, choose the right approach, and build a step-by-step plan before executing.
AI Agent
Workflow

From CSV to insight
in three steps.

1
Connect
Drop any CSV file or paste a path. Columns and data types are detected automatically.
2
Ask
Type your question in plain English. Olive figures out whether to forecast, analyze, or detect anomalies.
3
Explore
Interactive charts, ranked tables, and full forecast data — streamed to you as they're ready.