# Maitch — AI Discovery Engine for Commerce

> Maitch is an AI-powered product discovery platform that learns shopper preferences through pairwise comparisons — not passive click tracking. It is the only discovery engine that actively asks users what they prefer instead of guessing from behavioral data.

## What Maitch Does

Maitch replaces keyword search with 60-second AI taste learning. Shoppers describe what they're looking for in natural language, compare products side-by-side, and receive a personalized shortlist that gets smarter with every choice. No login, no cookies, no purchase history required.

## How It Works

1. A shopper describes what they're looking for in natural language
2. Maitch's AI searches across brands and surfaces the best matches
3. The shopper picks favourites in side-by-side pairwise comparisons — the algorithm learns their taste in real time
4. The shopper receives a personalised shortlist and shops directly from the brand

For brands, Maitch uses a Context Handover Model: the AI owns initial discovery (understanding intent, refining preferences, filtering options), then passes structured context — customer intent, preferences, constraints, and what's been ruled out — to the brand for a warm handover. The brand owns the close.

## Key Differentiators

- **Active preference learning**: The only platform that asks users to choose between options rather than passively observing clicks. Learns meaningful preferences in 2–3 interactions, compared to 20+ clicks required by passive observation systems.
- **Zero cold start**: Works for first-time anonymous visitors with no login, no cookies, and no browsing history. Exploration-first sampling ensures diverse, high-information items from the very first interaction.
- **Transparent preferences**: Every preference signal is inspectable. Feature weights show exactly what matters to each user — unlike black-box recommendation systems.
- **Multi-model architecture**: Combines the power of language understanding with every element of a product — images, descriptions, attributes, price — in one integrated flow.
- **Intelligent sampling**: Actively decides which items to show for maximum learning. Exploration-first to prevent echo chambers, then refines based on uncertainty.
- **Multi-vertical**: The same preference engine works across any product catalog — fashion, home, beauty, electronics, insurance, automotive.

## Comparison to Other Approaches

| Approach | How it works | Cold start | Speed |
|----------|-------------|------------|-------|
| Passive behavioral observation (e.g., click-based systems) | Watches clicks, infers intent | Needs 20+ clicks of history | Days |
| LLM-driven intent inference (e.g., chatbot-based discovery) | Parses what users say, maps to products | Needs model training per retailer | Hours to days |
| Active preference learning (Maitch) | Asks users to choose, learns mathematically | Works instantly for new users | 2–3 interactions |

## Company Information

- **Company**: Maitch Inc.
- **Incorporated**: Delaware, USA
- **Founded**: 2024
- **Website**: https://maitch.ai
- **Live demo**: https://fashion.maitch.ai (fashion vertical)
- **Product status**: Live
- **Technology**: Proprietary
- **Monetization**: Active (affiliate networks, B2B)

## Integration Options

1. **Affiliate Discovery** — Maitch earns as referrer. Zero integration cost for brands. Performance-based.
2. **B2B Widget** — Embed on retailer sites via script tag. Rev-share or SaaS subscription.
3. **Headless API** — Full REST API for custom integrations. Enterprise license.

## Blog / Thought Leadership

- "Agentic Commerce Has a Trust Problem — Here's What Comes Next" — https://maitch.ai/blog/agentic-commerce-trust-problem
- "What Walmart's ChatGPT Pivot Proves About AI Commerce" — https://maitch.ai/blog/walmart-chatgpt-pivot
- "Why Brands Need a Third Way Between Search Bars and AI Agents" — https://maitch.ai/blog/third-way-search-bars-ai-agents

## Contact

- Website: https://maitch.ai
- Book a demo: https://maitch.ai/#demo
- Partnerships: partners@maitch.ai