Littlebird remembers every model you tried, every result you got, and every stakeholder caveat -- so the next experiment starts from the last one.
A modeling project generates dozens of experiments, and the negative results matter as much as the wins. But six weeks later, 'didn't we try gradient boosting on this?' has no answer -- the notebook is somewhere, the discussion is in a thread, the conclusion is gone.
Littlebird keeps your research memory. What you tried, what it showed, and what the team concluded stays searchable. Science compounds when the failures stay findable.
Hyperparameters, results, and the discussion that followed. Never rerun a dead end because the first attempt evaporated.
Why the churn model needs to exclude enterprise accounts, and who decided that -- findable when the model gets questioned.
What you ran this sprint, what it showed, and what is next -- assembled instead of reconstructed.
Routines turn the week's experiments into a summary your team can actually read, before the details fade.
A real prompt — typed exactly the way you’d say it.
Did we ever try gradient boosting on the churn dataset, and what happened when we did?
Connect the tools this work lives in — each one unlocks more Littlebird can find and do.
It reads whatever is on your screen -- notebooks, terminals, dashboards -- and connects with GitHub for your code. No migration, no plugins to maintain.
Basic is free. Plus is $17 per month on an annual plan or $20 month to month, and the trial gives you 14 days free. Pro starts at $100 per month.
Completely. Littlebird is SOC 2 certified and complies with GDPR and CCPA. Nothing is sold, nothing trains models, and your data can be deleted at any point.
Yes. Meeting Notes records calls without a bot joining, in more than 10 languages, so every methodology debate stays searchable.
Not yet. Littlebird is Mac-only, and the waitlist gets notified when Windows ships.
More roles Littlebird works for.
Put Littlebird to work.