AI Discovery Engine for Commerce

Replace keyword search with
60-second AI-powered learning and discovery

The only discovery platform that asks shoppers what they want instead of guessing from clicks. No login. No cookies. Works for first-time visitors.

The Problem

Product discovery is broken

Keyword search was designed for a world where shoppers can describe exactly what they want in two words. That world never existed.

67%

of shoppers abandon because they can't find what they want

$350B+

lost in online retail annually due to poor discovery

0

results for "off-duty model vibes under $80" on any major retailer

That's not a user problem. It's a technology problem.

What We Built

Discovery that learns your taste — not just your clicks

Not a chatbot. Not an AI wrapper. A proprietary preference learning engine that asks, understands, and adapts in real time.

Learns taste in 2–3 interactions

Not clicks. Not browsing history. Maitch asks users to choose between options — and learns what matters to them in seconds. Competitors need 20+ clicks before personalization even activates.

🔍

Transparent, not a black box

Every preference signal is inspectable. Your team can see exactly what features matter to each user — color, silhouette, price, style. Competitors hide behind opaque scores.

🧊

Zero cold start

No login. No cookies. No purchase history. Our exploration-first approach shows diverse, high-information items from the very first interaction — no behavioral data needed.

🤖

Multi-model, one seamless flow

Our AI combines the power of language understanding with every element of a product — images, descriptions, attributes, price — to find the best match. Not separate systems stitched together. One integrated experience.

How It Works

The Context Handover Model

AI owns discovery. Brands own depth, relationship, and the close. The journey evolves, not resets.

🔎

AI Discovery

Understands intent. Refines preferences. Filters options. Learns taste in 60 seconds. No ops burden for the brand.

📋

Context Package

Customer intent, preferences, constraints, and what's been ruled out — structured and passed forward. Nothing resets.

🤝

Warm Handover

Brand receives a customer who's been understood. Deep personalization, loyalty, expert guidance. Brand owns the close.

“The journey evolves, not resets.”

Technical Moat

Purpose-built architecture — not just another wrapper

Active preference learning, unified understanding, and intelligent exploration. Multi-vertical by design.

01

Active Preference Learning

The only discovery engine that asks users what they prefer instead of guessing from clicks. Every choice is a high-quality signal — orders of magnitude stronger than passive observation.

02

Intelligent Sampling

Our engine actively decides which items to show for maximum learning. Exploration-first to prevent echo chambers, then uncertainty-weighted selection to refine fast.

03

Multi-Vertical

The same preference engine that learns style can learn taste in any domain. Fashion, home, beauty, electronics, insurance, auto. Same engine, any catalog.

Why Maitch

The only engine that asks instead of guessing

Three approaches to product discovery exist today. Only one puts the user in control.

DimensionPassive observationLLM-driven inferenceActive preference learning
How it worksWatches clicks, infers intentParses what users say, maps to productsAsks users to choose, learns mathematically
Speed to personalize20+ clicks neededHours to days2–3 interactions
Cold startNeeds behavioral historyNeeds model trainingWorks instantly
TransparencyBlack box scoresOpaque modelInspectable preferences
User agencyNone — system infers silentlyLow — system interprets queriesHigh — user actively participates
Signal qualityA click ≈ 0.1 bits of informationA query ≈ variableA choice = 1 full bit of preference
💡

Active preference learning is the same mathematical framework used to rank chess players and evaluate large language models. It works because an explicit choice is a fundamentally stronger signal than a passive click.

Work With Us

Three ways to integrate Maitch

From zero-risk trial to full enterprise deployment.

TIER 01

Affiliate Discovery

Maitch earns as referrer. Zero integration cost for brands. Performance-based — you only pay when it works.

Free to start →

TIER 02

B2B Widget

Drop a script tag on your site. Maitch handles discovery, you handle the close. Rev-share or SaaS subscription.

Contact us →

TIER 03

Headless API

Full REST API for custom integrations. Build your own UI, powered by Maitch intelligence. Enterprise license.

Contact us →

About Maitch

AI-powered discovery, built for any vertical

Maitch learns your preferences through pairwise comparisons — you pick between two options, and our models learn what matters to you. No lengthy quizzes, no endless scrolling.

How It Works

1

Tell us what you're looking for — in natural language, however you'd describe it.

2

Our AI searches across brands and surfaces the best matches.

3

Pick your favourites in side-by-side comparisons. The algorithm learns your taste in real time.

4

Get a personalised shortlist. Shop directly from the brand.

What's Next

Fashion is just the beginning. Maitch is built as a multi-vertical platform — home, beauty, electronics, and more are on the roadmap. The same preference engine that learns your style can learn your preferences in any domain.

FashionHomeBeautyElectronicsInsuranceAuto
Product: Live
Technology: Proprietary
Monetization: Active

Maitch Inc. · Delaware C-Corp · Founded 2024

From the Blog

Thinking about the future of product discovery

Research, analysis, and perspectives on AI commerce.

Ready to replace your search bar with AI that actually works?

15-minute personalized demo. See how Maitch works with your product catalog.

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Book a Demo

15-minute personalized walkthrough. See how Maitch works with your product catalog.