For investors

The AI Operating System for Real Estate Agents

A real estate agent's business does not live in one system. It lives in texts, email, a calendar, a CRM nobody updates, and the agent's own memory. Sifta is built on one idea: the operating system for that business should sit where the business already happens, in the agent's text thread, and it should know everything, know what needs to happen next, and do it. This page lays out that thesis for investors, with the numbers behind it.

The National Association of Realtors counted 1,438,569 members in June 2026. The typical member closed nine transaction sides in 2025 on a median gross income of $59,200, and 21 percent work on a team, where the median team closes 32 sides. Almost none of them have an operating system. They have a phone. The CRM industry spent two decades trying to make agents type their business into a database, and the honest result is that most CRMs are a lead router with an empty contact record. Mike DelPrete's 2024 secret-shopper study makes the cost visible: 47 percent of online property inquiries sent to more than 25 brokerages never got a human response, and the median reply took 39 minutes. Our view is that the failure was never discipline. It was architecture. The system of record was in the wrong place. Sifta puts it in the text thread, reads the email and the client texts the agent already writes, and builds the record itself.

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Quick Answer

Sifta is the AI operating system for a real estate agent's business: it lives in the agent's iMessage thread, reads their email, client texts and calendar, keeps a memory of every client and deal, answers the daily question of what needs attention, and does the work, from lead replies to showing bookings to chasing the lender. The market is 1.44 million Realtors, most running a business from a phone with no staff. The thesis is that the system of record belongs where the business already happens, not in a dashboard.

The Numbers

1.44M

Realtors in the United States

National Association of Realtors membership count, June 2026

A large, fragmented, phone-first workforce that buys tools one seat at a time.

9 sides

Transactions closed by the typical agent in 2025

National Association of Realtors member profile, 2026

Median gross income $59,200. Every lost lead and dropped follow-up is a visible share of the year.

32 sides

Median closings for a team; 21% of agents work on one

National Association of Realtors member profile, 2026

Teams already pay for the labor Sifta replaces, and they add seats as they grow.

47%

Online inquiries that never got a human response

Mike DelPrete secret-shopper study, 25+ brokerages, 2024

Median reply 39 minutes. The gap is coverage, not effort. Software that waits to be opened cannot close it.

The Problem

Every tool sold to agents asks them to go somewhere: a dashboard, an app, a portal. Agents are in cars and showings. The tool that wins has to come to them.

The data that matters most in a deal, what the buyer said about schools, which lender is slow, whether the appraisal came back, lives in private texts and email. No vendor can buy it. Only a system reading the agent's own channels can hold it.

Lead-response bots answer the first message and stop. CRMs store what someone typed. Neither knows the business, so neither can do the work.

Teams hire the labor instead: an inside sales agent, a transaction coordinator, an assistant. It is expensive, it churns, and every hire starts from zero knowledge of the book.

How Sifta Approaches It

✓

Sifta connects to the agent's Gmail or Outlook and calendar, and is added to client text threads and deal group chats. From then on it reads what a good chief of staff would read, and it keeps a memory of every client, deal and open loop. That memory is the operating system. Nobody has to type into it.

✓

On top of that memory sits the daily question: what needs my attention? Sifta answers with the specific clients, deals and leads, and offers to handle the ones it can. That is the difference between a database and an operating system. One stores, the other runs.

✓

Then it acts. Sifta drafts the lead reply in the agent's voice, books the showing, pulls comps and the flood zone from public sources, chases the lender and title for what they owe, and logs client details to the CRM. The agent approves anything that goes to a client until they choose otherwise.

✓

The interface is iMessage. There is no app to install and no habit to build, which is why activation happens in minutes instead of weeks. The channel is the moat as much as the model is.

Why It Matters

A system of record that builds itself from channels the agent already uses

Memory plus action in one loop, so the product compounds with every deal

Distribution through the one app every agent already opens, iMessage

A team-shaped upsell: teams already budget for the labor Sifta replaces

Questions Investors Ask

What does an AI operating system for real estate actually mean? +

It means one system that holds the whole state of an agent's business and runs it: who the clients are, what each deal needs next, which leads are warm, what the agent promised to whom. Sifta builds that state by reading the agent's email, client texts and calendar, and then it does the next thing rather than reminding the agent to. It is not a CRM, a lead bot or a dashboard.

Why iMessage instead of an app? +

Because the agent is already there. Every client text, every lender group chat, every lead notification lands on the phone. An app asks for a new habit; a text thread asks for nothing. Sifta lives in Messages, so the first useful moment happens minutes after signup, and the product is used between showings, where the work actually is.

How is this different from a CRM with AI features? +

A CRM stores what a person typed and now summarizes it. Its problem was never summarizing, it was that nobody typed. Sifta reads the real channels, so the record exists without data entry, and it takes actions in those channels rather than producing reports about them.

Where does the durable advantage come from? +

Two places. First, the data: deal facts live in private email and texts that no vendor can license, so a system that reads those channels holds facts nobody else has. Second, the memory compounds: every week Sifta knows the agent's clients, lenders and voice better, and switching means starting that memory over.

Who is Sifta for today? +

Producing residential agents and small teams in the United States who run their business by text and email. The team is the expansion motion: teams close a median of 32 sides against nine for individuals, they already pay for inside sales agents and transaction coordinators, and they add seats as they grow.

Talk to the founder about the thesis.

Bristol Briggs, founder. hello@joinsifta.com