Skout is the AI-native workspace where you chat with your notebooks, query your data in plain English, and ship models faster. Think Cursor — but it actually understands your dataframes.
Most AI tools autocomplete text. Skout understands your dataframes, your schema, and your experiment history — so its suggestions are grounded in your real data.
Ask questions about any cell, dataframe, or chart. Skout has full context of your session — no copy-pasting into a chatbot.
Autocomplete that knows your column names, dtypes, and joins. Fewer KeyErrors, faster feature engineering.
Skout flags leaky features, target imbalance, and silent NaN drift before they wreck your model in production.
Query Snowflake, BigQuery, or a local Parquet in plain English. Skout writes the SQL and shows you the plan.
"Plot revenue by cohort" → a clean, publication-ready chart. Iterate by chatting, not by fighting matplotlib.
Every experiment is versioned with its data snapshot and params, so "it worked on my machine" finally means something.
Point Skout at a notebook, a Parquet file, or your warehouse. It indexes your schema in seconds.
Clean, join, engineer features, and train — describe what you want and review Skout's edits inline.
Skout audits for leakage and drift, versions the run, and exports a reproducible pipeline.
Join the waitlist for early access. We're onboarding data teams weekly.
No spam. We'll only email you about your beta invite.