Engineering

    Estimate with ranges

    Turn estimates into range-based delivery models. Describe what you need—Carlo builds it in seconds.

    Use Carlo when…

    Deadlines are certain, estimates aren’t

    Set expectations with ranges instead of a single promise.

    Reliability risk spans many components

    See how small risks combine into big ones.

    Technical work needs justification

    Make trade-offs legible to non-engineers.

    Every estimate, transparent

    Every distribution, every dependency, every failure mode — on a single canvas.

    CONSTANTsprints
    6
    Number of sprints
    VARIABLEvelocity
    Normal(18, 4)
    Points completed per sprint
    FORMULAtotal_output
    sprints × velocity
    Total points delivered

    Built for Engineering Teams

    Copula / dependence. Model how component failures compound. Correlated risks don’t add up linearly — Carlo captures the real interaction.

    Probability calculator. Answer “what’s the chance we ship by date X?” by selecting a range on the timeline distribution and reading the odds.

    Equation mode. See every formula rendered in proper mathematical notation. Inspect and verify the exact expressions powering the model.

    Sensitivity analysis. Rank every input by its contribution to output variance. Know which estimate to tighten before committing to a date.

    AI Insights. Get an auto-generated narrative explaining the model’s key findings — useful when presenting trade-offs to non-engineers.

    Share links. Send a model anyone can open in the browser. No login, no install — the whole team can explore the same estimate.

    Engineer better estimates

    Model your next technical decision in 2 minutes. Free. No Python scripts. No Monte Carlo libraries. No boilerplate.

    Start modeling