Lead qualification, tenant Q&A, internal assistants: we build AI chatbots that actually save real estate agents time.
Real estate chatbot
What you get
They trust us
Industry stakes
An active real estate agency receives dozens of requests per day: viewing requests, tenant questions, supplier calls. Most don't convert but consume precious agent time.
A well-designed AI chatbot automatically handles 60-80% of these interactions: prospect qualification, answers to recurring questions (property status, availability, rent), routing to the right agent. Agents save hours per day.
Our approach
We build real estate chatbots with a RAG architecture on your property base (listings, photos, documents), connected to your real estate CRM (ICS, Sopra, Logement à la Carte). The chatbot cites sources and hands off to a human agent when confidence is low.
Result: an assistant that actually knows your portfolio, doesn't lie about availability or prices, and pushes qualified leads directly into your CRM.
Recent projects where we made a measurable impact.
Clutchain
Mobile-first gaming product connected to FACEIT, with progression loops, rankings, rewards, and web conversion journeys.
LAUNCH IN PROGRESS
Clink
Web-first whitelabel platform for bio-links and digital business cards, with advanced branding, admin operations, monetization, and real-time analytics.
+500 active entrepreneurs
MyBudly
Mobile+web social ecosystem with gamification, real-world tree planting, mini-games, AI features, integrated crypto wallet, and premium monetization.
€2,000,000 raised
Le Monde
Continuous Sirius evolution to harmonize editorial workflows and streamline newsroom collaboration.
3M+ written articles
COMING SOON
We have supported many other projects. Additional detailed case studies are being prepared to share our approach and measurable outcomes.
Strict RAG architecture: the chatbot can only answer on documented data (property base, descriptions, T&Cs). Structured outputs to constrain responses and mandatory source citations.
Systematic human fallback when confidence is low. A real estate chatbot inventing a rent price is a credibility disaster.
Yes, we integrate common real estate CRMs (ICS, Sopra, Logement à la Carte, Hektor, Netty) via their APIs or exports.
The chatbot pushes qualified leads directly into your CRM with conversation context — no re-entry needed.
GPT-4o, Claude Sonnet or Mistral depending on case. Claude excels at long reasoning and instruction fidelity, GPT on tooling integrations, Mistral for European sovereignty.
We decide based on your volume, budget and GDPR constraints.
Go deeper
AI assistants designed for your real business use cases
We create assistants that can answer, guide, search or execute actions in your business context, with a clear and useful framework.
View pageIndustryDigitalizing real estate without losing teams along the way
SaaS for agencies, property management, e-signature, B2B2C proptech: we build products adopted by industry pros, not rejected after a month.
View pageFrom the blog
Methods, costs and field notes to help you prepare your project.
How much does an AI agent cost for a business in 2026? Prices, use cases and pitfalls
Chatbot, business assistant or autonomous agent: realistic price ranges, model usage costs, and the mistakes that blow up the budget.
Read the articleAIIntegrating AI into a SaaS: use cases that create real value
The AI use cases that deliver concrete impact in a SaaS in 2026, without adding unnecessary product complexity.
Read the article