Custom AI for Real Estate - LLM Agents, RAG & Valuation Models

Trusted by 50+ operators, PropTech companies & digital-first brands

• AI lead qualification agents

  Custom agents that qualify, route, and book site-visit appointments via WhatsApp, email, and your CRM. Trained on your pipeline and ideal client profile. Runs 24/7 across time zones at a fraction of the cost of manual qualification.

• RAG-powered tenant and buyer chat

  Retrieval-augmented chatbots grounded in your inventory, FAQs, and policies. Multi-language out of the box. Typical deployments achieve 65% deflection on tier-2 support queries, freeing the team to focus on high-value interactions.

• AI listing generation and classification

  Listing copy, photo tagging, and amenity extraction from raw operator data. Fair Housing-aware copy generation that refuses protected-class language and flags drafts that drift. Saves 4 to 8 hours per listing across high-volume portfolios.

• AI valuation and comparables

  Custom AVM models and API integrations for pricing, IRR underwriting, and portfolio rebalancing. Built for developers, lenders, and institutional investors who need valuation logic tailored to their asset class and market.

• Fraud and risk detection

  ML classifiers for booking fraud, payment fraud, and identity verification. Tuned on your historical data with continuous retraining as new patterns emerge. Designed for property managers and marketplace operators handling high transaction volumes.

• AI owner and investor reporting

  Auto-generated monthly reports and investor copilots that answer portfolio questions in natural language. Connects directly to your financial data, occupancy metrics, and asset performance dashboards.

1. 01

   Exploring AI for the first time

   The opportunity is clear but the starting point is not. A discovery sprint maps the highest-value AI use cases against your funnel and operating costs, then identifies the single agent worth shipping first.

2. 02

   Shipping a single AI agent

   One use case, production-ready in 6 to 8 weeks. A lead qualification bot, a RAG chatbot, or a listing generator connected to one data source, with eval suite and cost guardrails included.

3. 03

   Building a multi-agent platform

   Two to three use cases running together. Multi-agent orchestration across your CRM, CMS, and inventory systems. Observability dashboard and quarterly accuracy reviews keep the system sharp.

4. 04

   Deploying custom models

   Off-the-shelf models do not fit the use case. Custom fine-tuned models, production-grade evaluation pipelines, and end-to-end ops and finance copilots built as a dedicated AI engineering engagement.

5. 05

   Scaling across markets

   An existing AI deployment expanding into new languages, geographies, or regulatory environments. Multi-language support, data residency configuration, and localized compliance rules added to the running system.

6. 06

   Replacing manual processes at scale

   Lead qualification, listing creation, tenant support, and investor reporting are consuming headcount that could be deployed elsewhere. AI agents take over high-volume, repetitive workflows while the team focuses on relationships and strategy.

Who we build for

Built for real estate operators. Exclusively

• Coliving and BTR operatorsHandling multi-language tenant inquiries 24/7, automating maintenance triage, and generating owner reports. AI agents that understand the coliving operating model and tenant lifecycle from move-in to renewal.
• Real estate developersAutomating channel-partner lead qualification, project inquiry routing, and sales team scheduling. Agents that qualify, score, and route leads based on project-specific criteria and buyer intent signals.
• Property managersRunning AI maintenance triage, vendor dispatch recommendations, and automated owner reporting. Systems that reduce response times and free the operations team from repetitive ticket handling.
• Marketplace and portal foundersShipping AI-powered search, listing generation, and content classification. Natural language property search, automated listing descriptions, and photo tagging that scales with inventory volume.
• Investment platformsScreening deals with AI underwriting copilots, automating investor Q&A, and generating portfolio performance summaries. Agents trained on your fund structure and reporting cadence.
• BrokeragesAutomating listing copy, photo classification, CRM data hygiene, and lead follow-up sequences. AI that handles the administrative load so agents can focus on client relationships and closings.

• Fair Housing-aware copy generation. AI listing tools refuse to write protected-class language and flag drafts that drift toward non-compliant phrasing.

• GDPR, India DPDP, and UAE PDPL data handling with EU, India, and UAE data residency where required.

• Deployment to your cloud (AWS, GCP, Azure) under your data-processing agreements. No third-party data exfiltration.

• PII redaction before any prompt leaves your tenant environment.

• SOC2-ready audit logging on every prompt, completion, and tool call.

• Bias evaluations on every fine-tune with human-in-the-loop review for any user-facing automation.

• AI agents trained on your data

  Not generic chatbots with a real estate skin. Every agent is trained on your pipeline, inventory, policies, and operating model. The responses reflect how your business actually works.

• Production-grade eval suite

  Accuracy benchmarks, regression tests, and A/B frameworks that run before any model change reaches production traffic. Measured performance, not guesswork.

• Observability and cost guardrails

  Per-tenant and per-route cost tracking, latency monitoring, and token usage dashboards. The system stays within budget as usage scales.

• Multi-model portability

  Agents are built model-portable. Swap between OpenAI, Anthropic, Google, or open-weight models based on cost, performance, or data residency requirements without rebuilding the system.

• Full IP transfer

  Prompts, eval suites, model contracts, deployment scripts, and documentation transfer to your team at handover. No licensing fees, no revenue share, no vendor dependency.

• AI prototype

  One use case. Production-ready.

  6 to 8 weeks

  • Single agent or RAG chatbot
  • Connected to one data source
  • Eval suite and cost guardrails
  • Two-week post-launch support

• AI platform

  Two to three use cases. Multi-agent.

  10 to 14 weeks

  • Multi-agent orchestration
  • RAG over CMS, CRM, and inventory
  • Observability dashboard
  • Quarterly accuracy review and retainer

• AI operating system

  Full platform. Custom models.

  16+ weeks

  • Custom fine-tuned models
  • Production-grade evals and monitoring
  • End-to-end ops and finance copilots
  • Dedicated AI engineering pod with on-call SLA

No login · Free tool · Results in five minutes

• Software development
• CRM implementation
• Systems integration
• App development