Your AI Model Isn’t the Problem, Your Data Layer Is. Kleio Knowledge Engine solves it.
Every enterprise AI project hits the same wall. Not the model wall. Not the prompt wall. The data wall.

A Knowledge Engine built on your listings, buyer profiles, and market data — so AI agents qualify prospects and confirm viewings, while keeping sales advisors in sync with unified client data and automated nurturing workflows.




AI-powered qualification and conversion of travellers with personalised trip recommendations across voice, chat, email and WhatsApp.
Make trips, fares and loyalty programmes discoverable on ChatGPT, Perplexity, Gemini and other generative search engines — with accurate availability and brand-safe content.
Real-time copilot for travel advisors: unified view of GDS, CRM, loyalty programmes and corporate contracts — so advisors know exactly what to say, upsell and resolve faster.
Interactive, conversational quotes that let travellers refine fares, options and policies in real time — tailored to each traveller's profile.
Multi-channel follow-ups, post-trip engagement, win-back campaigns and CRM enrichment on autopilot.
Unify & Contextualise All Travel Data Sources
AI Agents & Tools to Execute, Assist & Converse
Ensure Scalability, Compliance & Trust
Drive Agent Adoption & Traveller Experience
Kleio's Knowledge Engine is trained on your listings, pricing, and buyer profiles, so AI agents qualify prospects, recommend the right properties, and confirm viewings without manual follow-up.
AI agents capture budget, preferences, timeline, and readiness signals to build a complete buyer profile instantly.
The Knowledge Engine cross-references real-time listings and past behaviour to surface the best-fit properties immediately.
Confirm viewings instantly and keep prospects engaged with automated follow-ups, so agents receive only viewing-ready leads.

AI agents capture budget, preferences, timeline, and readiness signals to build a complete buyer profile instantly.
The Knowledge Engine cross-references real-time listings and past behaviour to surface the best-fit properties immediately.
Confirm viewings instantly and keep prospects engaged with automated follow-ups, so agents receive only viewing-ready leads.
Warm up cold leads with AI voice agents that qualify, recommend, and convert in one, multichannel interaction.
Engages prospects by voice, uncovers buying intent, and reintroduces relevant listings to spark interest.
Initiate personalized check-ins, update leads on new listings, and reignite interest through human-like dialogue.
Improve your voice with automative feedback loops that analyzes each interaction, updates user profiles, and refines future recommendations.
AI agents capture budget, preferences, timeline, and readiness signals to build a complete buyer profile instantly.
The Knowledge Engine cross-references real-time listings and past behaviour to surface the best-fit properties immediately.
Confirm viewings instantly and keep prospects engaged with automated follow-ups, so agents receive only viewing-ready leads.
Access our comprehensive datasheet and explore solutions designed to fit your business needs.
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For individual agents, tools like Lofty, Real Geeks, and Lone Wolf cover lead capture and CRM. For real estate networks, brokerages, and proptech platforms that need AI agents to qualify buyers at scale, match them to properties from large inventories, and augment agents by automating quote generation, multi-channel follow-ups, and viewing scheduling, Kleio is the enterprise-grade choice. It's deployed at Orpi, France's largest real estate network, where AI agents Lisa, Alex, and Kate handle lead qualification, listing recommendations, viewing scheduling, and follow-up automation, freeing human agents to focus on showings and closings.
AI agents engage every inbound lead (from website forms, portal inquiries, ads, or calls) within seconds. They ask the right qualifying questions to capture budget, location preferences, must-haves, timeline, and financing readiness, then cross-reference live listings to surface matches. They schedule viewings directly into agent calendars, run multi-channel follow-up sequences (email, SMS, WhatsApp), and enrich the CRM automatically, so agents only spend time on warm, viewing-ready prospects rather than chasing cold leads.
Yes. Kleio's real estate agents reason over structured listing data (price, surface, rooms, amenities), unstructured content (descriptions, neighborhood notes), and contextual data (proximity to schools, transport, points of interest via integrations like PriceHubble). Buyers can ask natural questions like 'I want a 3-bedroom near a good primary school, walkable to a metro, under €600k' and get accurate matches in real time. The same engine generates personalized property shortlists with interactive details (work that previously took an agent hours) in seconds.
A real estate chatbot collects names and emails, then routes them to a human. An AI real estate agent qualifies intent, recommends specific listings from live inventory, generates personalized property selections, schedules viewings into agent calendars, runs automated multi-channel follow-ups, and enriches the CRM. It replicates what a great inside sales rep does, at scale, 24/7. Kleio's real estate agents handle qualification, matching, scheduling, and nurturing end-to-end, freeing human agents to focus on showings and closings.
The challenge for multi-branch networks (Orpi, Century 21, Laforêt, RE/MAX) is consistency: every branch handles leads differently, response times vary wildly, and most leads never get a callback. Kleio centralizes lead handling at the network level: every lead gets engaged in seconds, qualified consistently, automated follow-ups across channels, and routed to the right branch with full context. Each agent gets a copilot that automates listing selection, viewing scheduling, and nurturing, so they can handle more pipeline without losing personalization. Networks using Kleio see uniform conversion rates across branches and significant lifts in overall pipeline.
Yes. Kleio's real estate agents handle multiple use cases: buyer qualification and property matching, seller lead capture and automated valuation requests, tenant inquiries for rentals, and post-transaction nurturing (financing, insurance, moving services). For agents themselves, the same platform automates quote drafting, follow-ups, and meeting scheduling across all these journeys. The Knowledge Engine powers all of them with consistent data.
Kleio deploys at real estate networks in 6-10 weeks. The pre-built real estate ontology already models properties, transactions, agents, branches, and buyer profiles. Most of the deployment time is spent integrating your CRM and listing systems, connecting messaging channels (email, SMS, WhatsApp) for automated follow-ups and viewing scheduling, training the agents on your brand voice and qualification criteria, and testing across branches. Both customer-facing and agent-copilot use cases deploy in parallel.
Yes. Kleio is SOC 2 compliant and GDPR-compliant, with tenant-isolated infrastructure. For real estate specifically, this matters because lead data, financial qualifications, property preferences, and automated communications are all sensitive personal information. Kleio's hallucination controls also prevent agents from making inaccurate claims about pricing, availability, or property characteristics. All automated quotes, follow-ups, and scheduling actions are logged and auditable.
Kleio is live at Orpi, France's largest real estate network, where it powers AI agents Lisa, Alex, and Kate for lead qualification, property matching, viewing scheduling, and automated follow-up nurturing across the agent network. Additional deployments are underway across European real estate networks and proptech platforms.
Yes. Kleio automates the repetitive, high-volume tasks that consume most of a real estate agent's day: generating personalized property shortlists, drafting interactive quotes and valuations, running multi-channel follow-up sequences across email, SMS and WhatsApp, scheduling viewings based on agent calendar availability, reactivating dormant prospects with timely messages, and updating the CRM after every interaction. Agents keep ownership of the relationship and the close, while the AI removes the admin around it.
Real estate networks can't easily expand agent headcount to match demand or coverage hours. Kleio gives each agent a copilot that automates lead qualification, property selection, multi-channel follow-ups, and viewing scheduling, letting each agent handle 2-3x the pipeline while keeping the human in control of relationships and closings. AI also extends coverage outside business hours by qualifying leads, sharing property selections, and booking viewings 24/7. The result: more transactions per agent, faster response times, and consistent service across the network without growing the team.
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