Industries
AI for Real Estate & Construction
AIYatch builds AI for property developers, agencies, brokers and construction firms: lead qualification and viewing scheduling assistants, price and demand estimation, tender and contract document extraction, and project reporting dashboards. We connect to your CRM, listing feeds and project-management tools so agents and site teams get faster answers and less admin.
Typical challenges
- Enquiries arrive around the clock and go cold before an agent responds.
- Tenders, contracts and site documents are long, inconsistent and reviewed by hand.
- Valuation and demand estimates depend on individual judgement.
- Project status is spread across spreadsheets, photos and messaging apps.
Typical use cases
Lead qualification and viewing scheduling
Chat, WhatsApp and voice assistants that qualify buyers and tenants, answer listing questions and book viewings straight into agent calendars.
Price and demand estimation
Predictive models over listings, transactions and location data that suggest pricing and highlight demand by area and property type.
Tender and contract extraction
Document AI that pulls scope, quantities, dates and obligations from tenders and contracts and compares them against your standards.
Site progress and safety monitoring
Computer vision over site photos, drone footage and CCTV that tracks progress and flags safety issues for review.
Project reporting dashboards
AI agents that gather updates from tools and messages, draft weekly reports and highlight schedule or budget risks.
Questions from this sector
Yes. The assistant checks agent availability through Google or Microsoft calendars or your CRM, offers slots, confirms bookings and sends reminders. Cancellations and rescheduling are handled in the same conversation, reminders go out automatically, and each lead is logged in your CRM with qualification notes for the agent.
They are a strong starting point, not a substitute for a surveyor. Models trained on your transaction history and local market data give consistent estimates with confidence ranges and the factors driving them. Agents remain responsible for the final figure, and the model is retrained as new transactions come in so estimates track the market rather than lagging behind it.
It can extract and structure the key terms, quantities and deadlines, compare them with your templates and flag unusual clauses for a person to examine. This shortens review time considerably and makes comparisons across bids consistent, but legal and commercial judgement stays with your team. Every extracted term links back to the page it came from for verification.
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