Real Estate Software Development Company

Most real estate software development companies will hand you a generic SaaS template and call it proptech. We do not. Revex is a real estate software development company that builds the systems brokerages and proptech founders actually run their business on — AI agents that handle the busywork, MLS and IDX integrations that stay connected, and custom CRMs that fit how your team actually sells.

We work with brokerage operators, proptech founders, and the engineering leads inside both. The common thread is that they have outgrown the off-the-shelf stack — Follow Up Boss, kvCORE, BoomTown, Lofty — and need software shaped around their workflow instead of the other way around.

If you are evaluating a proptech development partner and you want to skip the slide deck, the rest of this page is the short version of how we work.

Who we build for

Real estate software is not one product. The work splits into a few audiences that we ship for repeatedly.

Brokerages

Independent brokerages and franchise teams who are tired of paying per-seat fees for a CRM that does eighty percent of what they need and blocks the twenty percent that would actually move the business. We build the agent dashboards, deal pipelines, commission ledgers, and back-office tools that wrap around your existing MLS feeds and transaction management.

Proptech founders

Founders building the next product for agents, buyers, sellers, landlords, or investors. You have a thesis, a wedge, and probably a Figma file. We turn that into a shipped product — listing search, lead capture, AI assistants, marketplace mechanics — without the year of platform plumbing you do not want to write.

Operations leaders inside large teams

Heads of operations and tech inside top-producing teams who need internal tooling: lead routing, transaction coordination dashboards, agent onboarding flows, and reporting that the off-the-shelf stack cannot produce.

AI agents for real estate

This is the wedge. The most useful real estate software we ship right now is not a screen — it is an agent that does the work that used to require a screen.

Real estate is one of the few categories where agentic AI actually pays for itself this quarter. Sixty to seventy percent of a salesperson's day is the boring middle: chasing inbound leads, pulling comps, scheduling showings, drafting follow-ups, updating the CRM. That work has a clear input, a clear output, and tolerates a few seconds of latency. It is exactly the shape that current models handle well.

The AI agents we build for real estate brokerages typically cover:

  • Lead triage and qualification. Inbound leads from Zillow, Realtor.com, Facebook, and your own site get scored, deduped, and routed to the right agent inside seconds. The agent drafts the first reply, schedules the discovery call, and updates the CRM.
  • Comparable market analysis. Pull recent solds inside a defined radius, normalize for square footage and condition, draft the CMA narrative, attach photos. What used to be ninety minutes of manual work becomes a review-and-send.
  • Listing description generation. Pull listing data from the MLS, draft compliant copy in the brokerage's voice, generate social posts and email blurbs. The agent stays inside fair housing language constraints.
  • Showing coordination. Read inbound buyer requests, check the agent's calendar, propose times, confirm with the listing side, send confirmations with directions and showing instructions.
  • Pipeline hygiene. Watch the CRM for stale leads, missing data, deals that have not moved in a week. Nudge the agent, draft the follow-up, log the activity.

For the underlying agent infrastructure — orchestration, tools, evals, human-in-the-loop — see our AI agent development page. Real estate is where we apply it.

Integrations: MLS, IDX, and the CRMs you already pay for

A real estate app that does not talk to the MLS is a demo. Integration depth is what separates a real product from a wrapper, so we treat the seams as first-class work, not an afterthought.

  • MLS access. We integrate with the major MLS aggregators — Spark API, Bridge Interactive (RESO Web API), Trestle, MLS Grid — and with direct MLS feeds where the board requires it. We handle RESO data dictionary mapping, photo CDN policies, and the listing rules that vary board by board.
  • IDX feeds. Public-facing listing search on your brokerage or proptech site, built on a normalized IDX layer so a feed change does not break the front end. Saved searches, email alerts, map polygons, lead capture wired into your CRM.
  • CRMs we connect to. Follow Up Boss, kvCORE, Lofty (formerly Chime), BoomTown, Sierra Interactive, Realvolve, HubSpot. We respect what already works and replace what does not.
  • Custom CRM for real estate brokerages. When the off-the-shelf options are blocking your workflow, we build the system of record from scratch — contacts, deals, properties, commission splits, document storage, agent permissions. Custom CRM development for real estate is one of the most common engagements we run.
  • Transaction management. Dotloop, SkySlope, Authentisign integrations for documents and e-signature. Activity sync back into your CRM.
  • Lead sources. Zillow Premier Agent, Realtor.com, Homes.com, Facebook Lead Ads, Google Ads call tracking, and the dozen niche sources every brokerage has accumulated.

We can work in your existing stack. We will be louder about it if we think a choice is going to bite you later.

How we work

Our process is built around a simple rule: every week, the product gets closer to something a real agent or buyer can touch.

  1. Week 0 — Scoping. We turn your operator pain points into a build plan with the smallest shippable surface area. We name what we are cutting and why. For brokerages, this usually starts with one workflow — lead triage or CMA generation — not the whole platform.
  2. Weeks 1-4 — MVP build. Daily progress, weekly demos, code in your GitHub from day one. We get one AI agent or one integration into the hands of real agents inside the first month.
  3. Weeks 5+ — Iterate. We ship to a small group of producing agents and respond to what they actually do, not what they say in interviews. Real estate agents are honest critics. Use them.
  4. Handoff or stay. You can take the codebase in-house with a full walkthrough, or we stay on as your engineering team. Your call.

For the broader automation surface — Slack bots, internal ops agents, document workflows — our AI automation agency page covers how we build AI-first ops more generally.

Frequently asked questions

How is Revex different from a typical real estate software development company?

Most real estate dev shops sell hours against a template. We sell shipped product against your specific workflow. Our engagements are scoped to outcomes — a working AI lead triage agent, a live MLS-backed listing search, a custom CRM your team actually uses — not a quarterly retainer.

Do you build for brokerages or for proptech startups?

Both. The work shares more than it differs: real-time data, MLS or IDX integration, agent and consumer UX, lead workflows. The split shows up in who pays and how the product gets distributed, not in the underlying engineering.

Can you integrate with our existing CRM instead of replacing it?

Yes, and usually that is the better starting point. If Follow Up Boss or kvCORE is doing eighty percent of the job, we wrap AI agents and custom workflows around it through their APIs and webhooks. We only recommend a custom CRM for real estate brokerages when the off-the-shelf option is actively in the way.

What does an MLS integration actually involve?

It depends on the board. Some give you clean RESO Web API access in a week. Some require a manual application, a vetted technology vendor relationship, and a multi-week approval. We handle the paperwork and the data plumbing. Plan for four to eight weeks from first contact to live feed for most boards.

How do you handle fair housing and listing compliance in AI-generated content?

Every AI-drafted listing description, social post, or buyer email runs through constraints that block protected-class language, steering, and other fair housing violations. We pair that with a human-in-the-loop review for anything that goes out under the brokerage's name. Compliance is a product feature, not a checkbox.

What does a real estate software build cost?

Most real estate engagements land between a focused four-week sprint for a single AI agent and a three-month engagement for a full custom CRM with MLS integration. We give you a fixed-scope quote after a scoping call. No open-ended hourly contracts.

Can you work with our existing codebase?

Yes. About a third of our work is taking over a stalled proptech codebase or a brokerage's internal tool that the last contractor walked away from. We start with a one-week diagnostic so we are not guessing.

Book a call

If you are scoping a real estate software build — an AI agent for your brokerage, an MLS-backed proptech product, or a custom CRM your team will actually use — book a call. Thirty minutes, no slide deck, you leave with a clear sense of scope and timeline.

Book a Call