AI lead qualification, market analysis, and client communication systems for St. Louis real estate professionals. Stop losing deals to slow follow-up and manual processes.
The St. Louis market moves fast. A listing in Soulard or a Clayton condo can go under contract in 48 hours. If your systems aren't keeping pace, someone else's are, and they're getting the listing appointment you should have had.
A Zillow or Realtor.com lead that doesn't get a response within 5 minutes is 21 times less likely to convert than one called in the first minute. When you're showing homes in Ladue at 2 PM, the lead that came in at 1:58 PM from a Tower Grove buyer is already moving on to the next agent who answered.
The average agent spends 45–90 minutes per day on administrative data entry: logging call notes, updating contact records, tagging lead sources, scheduling follow-ups. For a team of 10 agents, that's a full-time employee doing nothing but copy-paste work. Every hour in the CRM is an hour not spent building relationships or closing deals.
Pulling comps, analyzing days-on-market trends, understanding absorption rates in a micro-market like Kirkwood versus Webster Groves, and building a defensible CMA takes hours of manual work. By the time you have a thorough pricing analysis, the listing appointment window may have closed or your initial pricing recommendation is already stale.
38% of real estate inquiries happen outside business hours. A buyer browsing listings at 10 PM on a Sunday in St. Louis has three other agents who will have a chatbot or voicemail they ignore. The first agent who actually responds with useful information, even if it's 10 PM, wins that relationship.
Agent A sends weekly market updates. Agent B follows up after showings within an hour. Agent C forgets to follow up entirely. When your team's client experience depends on individual habits, you can't scale, you can't predict referrals, and you can't maintain the brand consistency that builds a brokerage reputation in a market like Clayton or Frontenac.
From accepted offer to closing, a standard residential transaction generates 100+ document touchpoints: inspection deadlines, contingency removals, title commitments, HOA disclosures, final walk-through scheduling. Missing a deadline costs deals. Managing them manually across 15 active transactions per agent is a compliance and stress disaster.
We build systems that automate the work your agents hate doing so they can do more of the work that closes deals. Every solution is custom-built to your team size, CRM, and market focus.
Our voice AI agents answer every call and web inquiry instantly, in a natural conversational voice. They qualify the lead (buyer vs. seller, timeline, budget, neighborhood preference), answer common property questions, and either book a showing directly on your agent's calendar or warm-transfer hot leads in real time.
The prospect never knows they're talking to an AI unless you want them to. The lead record, conversation summary, and qualification score are in your CRM before the call ends.
See a Live Demo →Not all leads are equal. Our lead scoring models evaluate timeline to purchase, financial qualification signals, behavioral engagement (pages viewed, listings saved, search patterns), and source attribution to rank every incoming lead by conversion probability. Your agents wake up every morning with a prioritized list, highest probability contacts at the top, with suggested next actions already queued.
Pull a complete CMA in minutes, not hours. Our market analysis systems aggregate MLS data, days-on-market trends, price reduction patterns, absorption rates, and neighborhood-specific buyer demand signals into a presentation-ready report. Agents who used to spend 2 hours building a CMA now spend 10 minutes reviewing and personalizing an AI-generated analysis.
Every email thread, inbound call, and showing feedback gets automatically parsed and logged. Contact records update without agent input. Follow-up tasks are created based on conversation content. Lead status advances through the pipeline automatically as qualifying events occur. An agent with 150 active contacts in their database doesn't have to think about what to do next, the system surfaces it.
From accepted offer to clear-to-close, every transaction runs on an AI-managed checklist that tracks deadlines, sends reminders to all parties, and escalates missed items before they become deal-killers. Inspection period deadlines, appraisal contingency dates, title commitment timelines, nothing falls through the cracks. Designed to support a TC or replace the need for one on smaller teams.
Stop sending every buyer the same MLS hot sheet. Our property matching system analyzes each buyer's specific search behavior, saved properties, and stated preferences to generate hyper-personalized new listing alerts. When a 3-bed craftsman in Maplewood with a finished basement and parking pad hits the market, the three buyers who would love it get a personal note from their agent within 15 minutes of it going live.
Individual features that, combined, give your brokerage an operational edge over every competitor still running their business on sticky notes and a basic CRM.
After every showing, a personalized follow-up message goes out automatically at the optimal time. The AI interprets feedback responses, updates the buyer's preference profile, and suggests next property matches, all without the agent lifting a finger between showings.
Turn property notes and MLS data into compelling listing descriptions in under 60 seconds. The AI writes in your brokerage's voice, highlights the right features for the target buyer, and generates multiple variants for A/B testing across Zillow, your website, and social media.
Instant hyperlocal reports for any STL neighborhood, Soulard, Shaw, Kirkwood, Webster Groves, Creve Coeur, Frontenac. Price trends, school ratings, walkability, recent sales velocity, and upcoming development projects, auto-generated as a leave-behind for listing appointments.
AI-driven campaigns that identify dormant contacts in your database who are statistically likely to transact in the next 6 months based on life event signals and market timing. Personalized outreach goes out automatically, with your name on it, at exactly the right moment.
When a listing receives multiple offers, the AI creates a side-by-side comparison matrix that evaluates net proceeds, financing strength, contingency risk, and close date alignment. Sellers understand their options clearly. You spend the meeting on strategy, not explaining spreadsheets.
Everything your agents need from their phone: lead priority queue, upcoming tasks, client communication history, transaction status, and new match alerts. Designed for agents who live in their car between appointments, everything surfaces as a notification, nothing requires digging through a desktop CRM.
We integrate with your existing CRM, MLS feed, and communication tools. No ripping out your current tech stack. AI layers on top of what you already have.
We map your current lead flow, CRM setup, agent workflows, and transaction process to identify exactly where leads are falling through and where time is being wasted. Most brokerages find 3–4 immediate automation opportunities in the first session.
We design the AI architecture around your existing tools, Follow Up Boss, KVCore, Salesforce, Chime, or custom CRM. The voice AI, lead scoring, and automation systems connect to your existing data, not a new platform you have to learn.
We build and configure the system specific to your brokerage, your brand voice in the AI responses, your market focus (residential, luxury, commercial, investment), and your team structure. The voice AI is trained on your listings, your FAQs, and your value proposition.
Soft launch with a subset of your agents, then full rollout with team training. We monitor conversion rates, call quality, and automation performance for 60 days post-launch and tune the system on real data from your actual leads in your actual market.
We know this market. From the historic rowhouses and brick architecture of Soulard and Lafayette Square to the prestige listings in Ladue and Huntleigh, St. Louis real estate has distinct micro-market dynamics that generic AI tools don't understand. Our systems are configured to the STL metro, neighborhood-specific pricing models, local school district data, STL-area disclosure requirements, and an understanding of the buyer types active in each submarket. Whether your brokerage focuses on first-time buyers in Maplewood and Webster Groves, investor clients in North City, or luxury clients in Clayton and Frontenac, the AI speaks your market's language from day one.