Modal logo

    Modal

    Sold by
    Modal is a serverless compute platform for AI, ML, and data teams.

    Ratings and reviews

    4.8
    2 ratings
    4 star
    3 star
    2 star
    1 star
    100%
    0%
    0%
    0%
    0%
    0 AWS reviews
    |
    2 external reviews
    External reviews are from G2 .

    Filters

    Review type

    AWS Marketplace reviews
    External reviews
    Reviews (2)
    Lovey P.

    Effortless API Integration with Minimal Distractions

    Reviewed on Apr 22, 2026
    Review provided by G2
    What do you like best about the product?
    I really appreciate the main dashboard's layout in Modal Labs because it has the very bare minimums needed to get the job done without distractions from unnecessary decorative elements. I also like the eco-friendly dark theme. The initial setup of Modal Labs was very, very easy for me, which was a big plus.
    What do you dislike about the product?
    Most, if not all, interactive elements on the platform lack tooltips. Tooltips are essential, very much so.
    What problems is the product solving and how is that benefiting you?
    I use Modal Labs for running server-side scripts and serving Python ML API, enjoying its distraction-free dashboard layout.
    Himanshu J.

    Effortless Cloud Workloads with Minimal Setup

    Reviewed on Apr 16, 2026
    Review provided by G2
    What do you like best about the product?
    What I like most about Modal Labs is how simple it makes running cloud workloads without dealing with infrastructure directly. You can define functions and run them in the cloud with minimal setup, which feels very smooth compared to traditional cloud platforms.
    What do you dislike about the product?
    The main downside is that it requires some understanding of how serverless or cloud execution works. For beginners, it might not be immediately intuitive.
    What problems is the product solving and how is that benefiting you?
    Modal Labs solves the problem of setting up and managing cloud infrastructure for compute-heavy tasks. Instead of manually configuring servers or environments, you can just write code and run it directly.
    This benefits me by saving time, reducing setup complexity and making it easier to experiment with workloads like data processing or AI tasks.