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PERYTON LABS
Real estate · Pakistan

A real estate marketplace you can search by talking to it

MiLand lets people buy, sell, and rent property across Pakistan, and register as agents. Instead of making buyers fight a wall of filters, it understands what they are actually asking for — typed or spoken — and works on both web and mobile.

Client
MiLand
Year
2025
Duration
[PLACEHOLDER — confirm]
Services
Ai & Machine Learning, Web Development, Custom Software

Visit MiLand

AI + voice
Search by typing or speaking
4 flows
Buy, sell, rent, and agent signup
2 platforms
Web and mobile from one product

What was wrong

Property portals are almost all built the same way: a long form of filters, then a page of results that mostly do not fit. Buyers know what they want in a sentence — 'three bedrooms near a good school, under this budget' — and the software makes them translate that into checkboxes.

Sellers and agents have the mirror problem. A listing goes up and then sits there, and the work of pushing it in front of anyone happens manually, one social platform at a time.

What we did

We built search around how people actually ask. You can type a plain sentence or press the microphone and say it out loud, and the platform interprets the intent rather than pattern-matching keywords — which matters in a market where the same area is written five different ways.

For the supply side, listings connect out to Instagram, Facebook, LinkedIn, YouTube, and WhatsApp, so putting a property in front of an audience is part of listing it rather than a separate afternoon of work.

How it works underneath

Natural-language and voice queries are interpreted into structured search over the listing index, with recommendations personalised to what a given user has been looking at.

One product surface serves both web and mobile, so a listing, a saved search, and an enquiry behave identically wherever they were created — and there is no second codebase drifting out of sync.

What changed

Buyers describe what they want instead of assembling it from filters, and get recommendations that reflect their actual browsing rather than a generic popularity ranking.

Agents can register, list, and distribute inside one platform. [PLACEHOLDER — replace with real adoption or transaction figures once MiLand is happy to share them.]

Stack

What users see

Web app · Mobile app · Voice search

AI

Natural-language search · Personalised recommendations

Integrations

Instagram · Facebook · LinkedIn · YouTube · WhatsApp

Roles we held

Product build · AI search · Web and mobile · Launch

START HERE

Describe the problem in your
own words

No technical vocabulary needed. Forty minutes on a call and you will get a written summary of what we think is actually wrong, a rough range, and a straight answer on whether we are the right people. That part is free.