Real estate platforms built for the long haul.

Enterprise ERP, broker and agent CRM, AI-powered lead qualification, and property listing at national scale — we've built the infrastructure behind a 2M+ property network and the AI SDR that manages its inbound. From search to sign.

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What we build

Every layer of the proptech stack.

Property ERP

Listing, inventory, and transaction management at national scale — built to survive growth.

Broker & agent CRM

Pipeline, lead routing, and commission management for large broker networks.

AI lead qualification

AI SDR qualifying and replying to inbound leads across WhatsApp, Meta, and web.

Consumer search apps

iOS and Android property search and save — designed to convert.

Proof

Real estate at enterprise scale.

2M+ propertiesKenloEnterprise ERP for one of Brazil's largest real estate networks.View case study →AI SDRKenlo LYAAI-powered lead qualification and omnichannel messaging in production.View case study →

How we build it

AI-native delivery, governed by architects.

01DiscoveryAI-augmented scoping with senior architects

02ArchitectureSystem design + security, governed

03BuildAI pair-programming, every commit reviewed

04QA gateAutomated testing + expert review

05OperateMonitoring, iteration, continuous delivery

The same five-step delivery model behind every Wegile build. Not an AI wrapper — a production AI team.

Under the hood

Built for proptech scale.

Enterprise ERPAI lead qualificationMulti-platformReactJSNode.js · NestJSPythonPostgreSQL · AWSSwiftKotlin

Real estate engineering for enterprise scale — from property ERP to AI SDR automation.

Questions real estate platform buyers ask us

Before you start. Straight answers.

Can you integrate with MLS or RETS/RESO data feeds?

Yes — property listing data ingestion, normalization, and sync from MLS RETS/RESO feeds or IDX providers is standard scope. We've built property listing pipelines that handle millions of records and stay synchronized with live market data.

How do you handle the data complexity of a real estate platform?

Property data is multi-dimensional: listing attributes, geolocation, media, agent/broker hierarchy, transaction states, and price history. We've built the data model, search architecture, and property ERP for a 2M+ property network — that depth informs how we architect from the start.

Do you build new platforms or also modernize existing ones?

Both. New real estate platforms from scratch and modernization of existing systems — AI feature additions, mobile app launches, performance improvements, and infrastructure upgrades.

Can you add AI to a real estate product?

Yes. AI lead qualification (we've built an AI SDR qualifying real-estate leads in production), intelligent property recommendations, automated listing descriptions. Six-gate governance applies.

What happens after launch?

The same pod handles ongoing development — data feed updates, new market integrations, mobile app releases, and product evolution.

Building proptech? We've done it at national scale.

Response within 24 hours. After the architecture call, a named pod and day-one plan arrive within 4 business hours.

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