Welcome to Monty-UX

Discover a new era of personalized user experiences.

What Is Monty-UX?

  • Monty-UX is an AI-driven User Experience optimization tool.

    • It’s powered by cutting edge LLMs, and uniquely takes “Monte-Carlo” approach toward the discovery of old usability problems and new opportunities to perfect your presence online.

  • Monty-UX is designed to:

    • Uncover unseen UX challenges, broadening the scope of solvable "problems" on your site.

    • Reveal critical aspects of your app that resonate with users, safeguarding essential features while enabling teams to design and experiment everywhere else.

    • Segment users by product affinity, protecting user privacy while offering insights into key user behaviors and response patterns to design changes.

    • Passively detect and flag crucial website issues, providing data-backed insights and pre-packaged hotfix solutions. Monty-UX will never raise an issue without a clear fix in hand.

    • Make websites more accessible, more usable, and more personal to every user over time.

  • Monte-UX works to ensure your site is always running at 100%, helping you focus on the products and services that make your business great.

Monty-UX’s Core Site Improvement Loop

Step 1: Define key elements of your site, and use AI to consider and create alternatives.

  • A target website or app is disassembled, analyzed, and all component parts are labeled using cutting edge AI systems.

  • Following clear design standards and past feedback data, the LLM reconstructs the site, applying slight alterations to key user flows.

  • A queue of potential experiments is generated and labeled, highlighting how they differ from the current experience.

  • Each experiment is evaluated and ranked, ensuring it supports all site functionality before being sent off to the site owner for rewiew.

Step 2: Review past insights and greenlight future experiments.

  • Share past insights and propose experiments for experimental “greenlighting”/human-in-the-loop review.

  • With a site-owner’s ‘OK‘, recommended experiments are deployed to an experimental group for testing.

Step 3: Process tests to update user segment understanding. Refine model for further tests.

  • Analyze user response patterns across past tests in light of each experiment, isolating the nuances of each test and their effects.

  • Use these insights to refine user segmentation, and empower the model to hone-in on key areas for future development and testing.

Discover the Power of Monty-UX

Revolutionize Your User Experience with Monty-UX

Note: Monty-UX is currently seeking early adopters to partner with us as we develop and refine our product.

To express your interest in partnering with us, please let us know your use-case and site traffic details. We are looking for sites with large and varied audiences, as they will help us improve our models faster.