Lease & contract extraction
Pull key terms, dates and obligations from leases, contracts and disclosures into structured data.
AI Solutions · Real Estate
AI for Real Estate
We are a senior-led AI development company, building production AI for real estate and proptech teams — lease and contract extraction, lead qualification, valuation support and property agents — grounded in your documents and data.
The Real Estate reality
Real estate is a document- and relationship-heavy business: leases, contracts and disclosures carry the value, while leads and tenant questions consume time. AI can read the documents, qualify and follow up with leads, and answer property questions instantly — freeing your team for the high-value work of deals and relationships. We build real-estate AI grounded in your own documents and CRM, so answers are accurate and traceable rather than plausible-sounding guesses.
Who we build for in Real Estate
- (01)proptech startups building AI-first products
- (02)brokerages and property-management firms
- (03)REITs and commercial real-estate (CRE) investors
AI use cases for Real Estate
6 areas
Where AI creates real, measurable value in real estate — each of these is something we build into production, not a slide.
Lead qualification & follow-up
Qualify inbound leads and run timely, personalized follow-up so none go cold.
Tenant & buyer agents
Answer property, availability and process questions instantly, escalating deals to your team.
Valuation & market analysis
Support valuation and market analysis with organized comparables and data.
Due-diligence RAG
An answer engine over a deal’s document room that cites the source page.
Portfolio & asset intelligence
Turn portfolio and asset data into alerts and reporting your team can act on.
How we deliver
6 capabilities
We build AI that does work, not AI that demos well. Every system ships with an evaluation suite, a measured cost-per-task, full logging of every decision, and a defined human handoff for low-confidence cases — and it can run inside your own cloud when data cannot leave your perimeter. We partner with a limited number of companies at a time and design to a real business outcome, not a feature list.
AI agents & automation
Goal-driven agents that plan, call tools and complete multi-step work, with guardrails and a human fallback.
Generative AI & LLM apps
Copilots, assistants and custom LLM applications built on Claude, GPT and open models, benchmarked per task.
RAG & knowledge systems
Your documents, tickets and databases turned into an answer engine your team actually trusts — with citations.
Machine learning & prediction
Forecasting, scoring, classification and computer-vision models wired into the systems you already run.
Evaluation & guardrails
Test suites, confidence thresholds, cost dashboards and logging from the first sprint — not bolted on later.
Secure deployment
Shipped into your own cloud account with monitoring you own, for teams with data-residency or compliance needs.
Why Real Estate teams choose Suthar
- Grounded, not guessing. Answers are drawn from your own leases, contracts and CRM with the source cited — accuracy your team can verify, on financial and legal documents where mistakes are costly.
- Senior-led, no hand-off. The senior engineers who scope your Real Estate project write the code — no account managers, no junior team.
- Built to a real outcome. We design to a measurable result — hours saved, tickets deflected, cycle time cut — not a feature list.
- You own everything. Your repositories, your infrastructure, full code and IP transfer documented at handover.
Questions
Real Estate
AI FAQ
We ground extraction in the actual document and attach a confidence score and source location to each field, with a review path for low-confidence items — so your team verifies rather than trusts blindly on documents that carry real money.
Yes. We connect to your CRM, PMS and document storage through their APIs so leads, documents and answers flow through the systems your team already lives in.
We use retrieval-grounded approaches that answer only from your documents and cite the source, and we set confidence thresholds so anything uncertain is flagged rather than guessed.
Almost always with a paid discovery sprint — one to two weeks that ends with a fixed scope, timeline and price. If we conclude the project should not go ahead, we will tell you, and you keep the work.
You do, completely. Your repositories, your infrastructure, and full IP transfer documented at handover — including anything produced during discovery.
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