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4.9/5 on Clutch — 13 verified reviews

AI Solutions for Real Estate Companies

The real estate AI company engineering production-grade pipelines past pilot, integrated across your Yardi, MRI, and RealPage systems, Fair Housing compliant always.

TRUSTED BY CONGLOMERATES, ENTERPRISES, AND STARTUPS ALIKE

Real Estate AI Software Designed to Ship Into Production

Most real estate software stalls in pilot. Kodexo Labs delivers production AI into live brokerage and property management workflows, architected around your Yardi, MRI, and RealPage estate from day one, so demo-grade pipelines still operate afterwards.

Agentic AI and Multi-Agent Systems

Multi-agent listing and deal pipelines run in LangGraph, with hard state control and a human checkpoint at each regulated handoff. The agents coordinate across Yardi, MRI, and RealPage to sync records, route approvals, and progress deals alone, so any task opening in one system closes in the next without manual re-entry.

0%

reduction in listing processing time (Q Agency)

0

products shipped across industries

0%

client retention rate

AI Systems Built for Every Real Estate Workflow and Operations

We build across the real estate value chains. From listing desk to back office, teams ship production AI for ingestion, lease abstraction, screening, valuation, and transactions, built for Fair Housing and your Yardi, MRI, and RealPage estates from sprint one.

Custom software built for production speed

Extensiv

Extensiv's operations team waited on engineering for every data question. Kodexo Labs embedded an AI pod that built a LangGraph agentic query layer across 4 databases, so operations self-serves in plain English.

90%

SQL accuracy

207

Tables Accessible

04

Databases

Extensiv

SmartMedHx

SmartMedHx needed compliance-aware AI engineers fast. Kodexo Labs embedded a dedicated pod covering AI/ML and DevOps, building the HIPAA-compliant pipeline with audit logging and a hardened AWS VPC.

42+

Providers

493

Patient Interviews

40%

Faster Interviews

HIPAA

Compliant

Teacher AI

Teacher AI needed full-stack and AI engineers to scale multilingual tutoring without splitting into separate squads. Kodexo Labs augmented the team across TypeScript, React, Node.js, and Flutter on a unified sprint cadence.

50,000+

Users

30+

Countries

07

Langauges

DRAG

Production-Grade Real Estate Engineering.

We hold every Kodexo build to these production standards before it goes live in a real brokerage.

Compliance-Native Architecture

Fair Housing Act and ECOA guardrails are architecture constraints enforced at the prompt and policy layer, applied before any model call is ever allowed to run on tenant or buyer data.

PropTech Stack Integration

Direct API connections to Yardi, MRI Software, and RealPage put the AI inside your system of record, reading and writing live data rather than syncing stale copies in a parallel store.

Production-Grade Orchestration

LangGraph multi-agent workflows give state control, replay on failure, and a human check at each regulated handoff, so a failed step will not quietly break an open and still live deal.

Which real estate organizations does Kodexo Labs work with?

Our real estate IT services support three buyer profiles across the industry: PropTech platforms shipping product, enterprise operators running large portfolios, and brokerages and lenders moving transactions.

PropTech Platforms

Venture-backed PropTech companies building listing, transaction, or property management products turn to us for proptech development that ships in weeks. Q Agency is one cleared example: their listing platform now publishes properties in 30 seconds instead of 30 minutes through our multi-agent pipelines and MLS/IDX integration.

Enterprise Real Estate Operators

REITs, large multifamily operators, and CRE investment teams use us for portfolio analytics, NOI forecasting, ML-based valuation, and lease abstraction at scale. We integrate Yardi and RealPage as the system of record, then layer agentic workflows for renewals and capital planning across thousands of units.

Brokerages and Lenders

Commercial and residential brokerages, mortgage originators, and fintech lenders use our FHA and ECOA-compliant AI for tenant and borrower screening, lead qualification, and deal pipeline management. Decision trails log per applicant and outputs route into existing LOS and CRM systems.

What Makes Kodexo Labs the Strongest Real Estate AI Development Partner?

Generic AI shops learn real estate on your dime. We bring patterns shipped from real listing builds, real audit reviews, plus real PropTech integration work instead.

We are no generic shop fitting a chatbot to a real listing job. We shipped the Q Agency platform live to production, cutting processing time 97%, then reuse that pattern on your build.

Capabilities Built to Cover the Entire Real Estate Stack

What this build genuinely looks like underneath the marketing. The four clusters below describe the architecture, pipelines, and regulatory artifacts each cluster produces, written for the CTO who needs assurances the system holds together at component level.

[1]

Document Intelligence

Lease abstraction pulls clauses, dates, and obligations from PDF leases through a RAG pipeline indexed in FAISS or Pinecone. Listing enrichment structures unformatted MLS and IDX descriptions into a clean schema. Contract review extracts clauses and flags risk terms for legal sign-off, on a scheduled pipeline with diffable outputs.


[1]

Decision Automation

Property valuation runs as an ML regression model with comparable-sales retrieved through RAG, so every estimate ships with the comps that backed it. Tenant screening operates inside FHA guardrails with protected-class filters at the prompt and feature layer. Lead scoring uses LangGraph decision nodes that record why a lead routed where it did, with an audit trail per decision.

[1]

Workflow Orchestration

Multi-agent transaction coordination runs on LangGraph with state persisted per deal, so a failed step replays without manual re-entry. MLS feed pipelines automate the ingest, enrichment, and publish loop. AI-generated outputs write back to Yardi, MRI Software, or RealPage as records, not files in a shared drive.

[1]

Compliance Screening

FHA and ECOA guardrails run on every AI-assisted decision touching tenants, buyers, or ad targeting. NYC Local Law 144 bias audit workflow is built into the screening layer. SOC 2 audit log generation is continuous, not assembled before a review window. Compliance evidence is generated during operations.

The Production Stack Behind PropTech Systems

These battle-tested, production-grade toolchains are what our engineers instinctively reach for in building a real estate platform.

Python
Python
Python
Python

How We Engineer Compliant Real Estate Platforms

A predictable process is itself a compliance asset in regulated real estate. Every step yields the documentation a later audit demands.

1

Discovery and Strategy (2-4 weeks)

A scoped assessment of a single real estate workflow: listing automation, lease abstraction, screening, valuation, or transaction coordination. The deliverable is a written technical roadmap and an ROI model grounded in your actual document and listing volumes.

2

Architecture and Design

System architecture, data flow diagrams, retrieval designs, and API contracts develop in parallel. We map integration boundaries for Yardi, MRI, and RealPage, then identify the compliance frameworks: Fair Housing plus ECOA throughout, with SOC 2 where required.

Design & Prototyping
3

Development and Integration

Sprint-based delivery on a two-week cadence with weekly demonstrations in staging. Connector work for Yardi, MRI, and RealPage runs alongside the model build. Decisions are documented in plain English, so compliance and operations teams stay aligned throughout.

Development and Integration
4

Deployment and Launch

Production deployment with monitoring dashboards and analytics tracking model and pipeline performance, plus a documented handover to your whole team. AWS VPC deployment keeps tenant data isolated per environment. The deliverable is a live system with runbooks.

5

Support and Optimization

Performance tracking, model updates driven by real usage data, and quarterly optimization reviews. Retrieval accuracy and decision quality both compound as new data arrives. The deliverable is an ongoing sprint cadence with monthly milestones and clear metrics.

Frequently Asked Questions

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Kodexo Labs builds three AI layers for real estate operators: document intelligence (lease abstraction and listing enrichment via RAG pipelines), decision automation (valuation, tenant screening, and lead scoring with LangGraph), and workflow orchestration (multi-agent coordination across MLS, Yardi, and RealPage). Most production systems combine all three and ship with FHA and ECOA guardrails enforced from day one, not added before launch.

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