If you're Nike, you're great at making shoes. So go make the world's best shoes. When someone comes to your site — or opens your app — we'll make sure they can browse, discover, and fall in love with your shoes in whatever way is truly most interesting, engaging, and resonant to them.
Not the way that worked in last quarter's redesign. Not the way your median user prefers. Their way — learned from how they actually behave, tested honestly, and improved every week.
Every discipline of experience design, tuned around one person at a time.
All software is fundamentally inaccessible to some portion of its audience today. It's too expensive to run the experiments needed to fully understand your entire customer base. It's too expensive to build and maintain multiple high-quality experiences for different user groups. So companies build experiences around specific target users — instead of crafting great experiences for every unique user group.
We believe simple, accessible user-level personalization tools — powered by AI-driven experimentation — should be available to all businesses. Language models finally make the economics work: when generating and validating a new candidate experience costs nearly nothing, every user group becomes worth designing for.
We got here through accessibility. Our founder spent years of his childhood blind, and later built reading tools for visually-impaired students — tools their sighted classmates promptly adopted too. That taught us the thing we now build on every day: interfaces built to fit the people who need them aren't a niche — they're simply better interfaces. Personalization done right is accessibility at scale.
Experiments live inside guardrails you declare. Fixed elements stay fixed; brand rules are enforced mechanically, not by hope. Nothing unvetted ever reaches a user.
We learn from how users engage with your product — first-party, on your surfaces. No cross-site cookies, no purchased profiles, no creepy stitching.
Monty-UX never raises an issue without a clear fix in hand. Every flag arrives with a validated, ready-to-ship treatment attached.
The engine's grammar, safety guarantees, and segmentation mathematics are specified in a formal whitepaper — shared with design partners, not the open internet. Request it.
We're partnering with a small set of teams who care this much about their users.