AI and custom software for real estate.

Brokerages, property managers, developers, and investors all run on fast response and heavy paperwork. AI handles the first reply in seconds, reads the lease so nobody has to, and turns scattered data into the report your investors want.

01why now

Real estate is a speed business with a paperwork problem. A buyer or renter inquiry answered in minutes is worth far more than one answered tomorrow, yet agents and leasing teams are often in showings when the lead arrives. Behind the front line sit leases, inspection reports, rent rolls, maintenance requests, and closing documents, most of them read and re-typed by hand.

Language models are now reliable at both halves: responding to inquiries in your voice with accurate information, and extracting structured data from long documents. The firms that put them to work now respond faster, carry more units or listings per person, and report to owners and investors with less effort.

02what we build

• Lead response. Inquiries from every channel answered within minutes, qualified with a few questions, and booked straight into an agent's or leasing team's calendar, with the conversation logged in your CRM.
• Lease and document abstraction. Key terms, dates, options, and obligations pulled from leases and contracts into structured data, with alerts before critical dates.
• Maintenance triage and tenant communication. Requests classified by urgency and trade, routed to the right vendor, and tenants kept updated without a person writing every message.
• Listing and marketing content. Drafts of listing descriptions and property summaries from your data, reviewed by an agent before publishing.
• Investor and owner reporting. Data pulled from property management, accounting, and spreadsheets into one report, with the variances explained.
• Custom tools and apps. Portals for owners and tenants, deal pipelines, and internal tools shaped to your process.

guardrails specific to real estate

Fair housing rules apply to what an AI writes and to how leads are handled, so automated responses and listing drafts are constrained to property facts and reviewed against your compliance standards. Anything involving pricing advice, legal terms, or a commitment on behalf of the owner goes to a person.

a typical first project

Lead response is usually the best starting point. Measure the median time from inquiry to first reply today, across every channel, including nights and weekends. Then put an assistant on the first reply and the booking, with agents or leasing staff taking over once a showing or call is set. It is easy to measure, it does not touch sensitive documents, and the conversations it logs become useful data for everything that follows, from follow-up timing to which listings draw the most questions.

03who this is for

• Brokerages and teams that lose leads to slow response.
• Property managers who want more doors per manager without service slipping.
• Developers and owners carrying large lease portfolios with critical dates.
• Investors and funds that spend days each quarter assembling reports.

Our public case studies are in healthtech, dental, and consumer apps rather than real estate. The transferable proof is the method and the engineering, such as Pinned Golf, where AI-augmented development reduced the engineering need from five engineers to one. We are based in South Florida and work with clients worldwide.

04how it runs

1. Diagnose. Response times, hours spent on documents and reports, and units or listings per person today, each with a number.
2. Fix the budget. A scoped plan with a fixed number. Change requests are priced before they start.
3. Build in the open. Working software every two weeks, usually starting with lead response because it pays back fastest.
4. Operate. We stay past launch to measure and extend.

Related services: AI workflow automation, AI agents, and custom software development.

05common questions about AI for real estate

How can real estate companies use AI?

Answering and qualifying inquiries within minutes, abstracting leases and contracts into structured data, triaging maintenance requests, drafting listing content for review, and assembling owner and investor reports from several systems.

Can AI respond to real estate leads automatically?

Yes. An assistant can answer inquiries from every channel in your voice, ask a few qualifying questions, book a showing or call, and log the conversation in your CRM, with anything beyond property facts handed to a person.

What is lease abstraction with AI?

Using a language model to pull key terms, dates, options, and obligations out of leases into structured data, so critical dates trigger alerts and the portfolio can be searched and reported on without reading every document.

Does AI create fair housing risk?

It can if left unconstrained, which is why automated responses and listing drafts should be limited to property facts, reviewed against your compliance standards, and handed to a person for anything else.

Can AI help property managers handle more units?

Yes, mainly by taking routine work off managers: triaging maintenance requests by urgency and trade, routing them to vendors, keeping tenants updated, and drafting owner reports. Managers then spend their time on the issues and relationships that need a person.

Do you have real estate case studies?

Our public case studies are in healthtech, dental, and consumer apps. We are happy to walk through how that work applies to your firm on a call.

How much does it cost?

A fixed number agreed before work starts. Change requests are priced before they are started, never after.