Public Beta

Your Autonomous

Data Scientist

Upload a CSV — get data cleaning, analysis, visualizations, and trained ML models automatically. AI explains every step.

Start Analysing →
0+
ML Tools
0x
Faster Analysis
0.9%
Uptime
0s avg
Training Time
Latest Run
ModelXGBoost
R²0.913
RMSE$18,420
Status✓ Done
$dsagent suggest
→ 5 steps ready
$dsagent run
→ Pipeline complete_
Data Cleaning×EDA×Feature Engineering×AutoML×XGBoost×LightGBM×Random Forest×Correlation Analysis×Outlier Detection×Model Evaluation×Predictions×Visualizations×Data Cleaning×EDA×Feature Engineering×AutoML×XGBoost×LightGBM×Random Forest×Correlation Analysis×Outlier Detection×Model Evaluation×Predictions×Visualizations×Data Cleaning×EDA×Feature Engineering×AutoML×XGBoost×LightGBM×Random Forest×Correlation Analysis×Outlier Detection×Model Evaluation×Predictions×Visualizations×
Pipeline — scroll to explore
01
↑
Upload
CSV · Excel · JSON
Drag & drop any tabular dataset. Auto schema detection, type inference, and instant preview with sample rows.
02
◌
Clean
Detect · Impute · Remove
Missing values, duplicate rows, outlier detection. One-click fixes or fully automated cleaning pipeline.
03
◈
Analyse
EDA · Correlations
Distribution plots, correlation heatmaps, feature statistics — generated automatically for every column.
04
⬡
Model
AutoML · Compare
Train XGBoost, LightGBM, Random Forest side by side. Pick the best automatically. R², RMSE, accuracy all tracked.
05
→
Deploy
Reports · Endpoints
Export insights as PDF, serve predictions via REST endpoint, or re-run the whole pipeline on fresh data.
Live Demo

See it work in
real time

dsagent — terminal
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Capabilities

Everything built
in

LLM
AI Analyst Chat
Ask questions about your data in plain English. Qwen with full tool-calling runs the actual analyses — no hallucinations, real results.
Builder
Pipeline Builder
Compose reusable workflows visually. AI suggests steps based on your dataset. Save, re-run on new data, view run history.
ML
AutoML
Select a target column. DSAgent detects regression vs classification, trains 3 models, compares them, and surfaces the winner.
XAI
Explainability
Feature importance, correlation heatmaps, and natural-language summaries baked into every analysis. No black boxes.
Persistence
Session Memory
Every upload, chat, and pipeline is persisted to PostgreSQL. Resume mid-analysis or reload a conversation weeks later.
Viz
Dark Charts
Histograms, scatter plots, correlation heatmaps, box plots — all styled in dark mode via matplotlib + imshow. PNG export.
Stack

Built on tools
you already trust

Next.js 15, FastAPI, PostgreSQL via Prisma, Clerk auth — and Qwen-3 powering every intelligent decision.

Next.js 15
Frontend
FastAPI
Backend
Qwen
Intelligence
PostgreSQL
Database
XGBoost
ML Engine
LightGBM
ML Engine
Prisma
ORM
Clerk
Auth

Start in
seconds

No code. No configuration. Upload your dataset and let DSAgent handle the rest.

Open DSAgent →