AI & SOFTWARE DEVELOPMENT FOR REAL ESTATE AND PROPTECH COMPANIES
Your Team Should Be Closing Deals. Not Retyping Leases.
We build the software real estate and proptech companies run on, including property management, CRM, listing and lease systems, then add AI that reads leases, contracts and property data for your team. Our lease review system reduced review time from 6 hours to 15 minutes per lease.
Get a Free AI Prototype on Your Leases or Contracts
Trusted by Real Estate Teams and Inc. 5000 Companies
KODEXO LABS FOR REAL ESTATE
How We Help Real Estate & Proptech Companies Work Faster
Real estate work depends on leases, contracts, listings, rent rolls and investor reports. Kodexo Labs builds custom software and AI systems that handle this work for brokerages, property managers, commercial real estate owners, lenders and proptech companies. Our systems connect to your existing tools, pull the key terms from each document and update your records, so your team spends less time on data entry and more time on clients and deals.
Find out which of your workflows can be automated first.
- 15 Min
Time to review a commercial lease with our AI lease review system, down from 6 hours of manual review.
- 95%+
Accuracy in pulling lease terms such as rent, dates, renewal options and obligations, across more than 50 terms per lease.
- 30 Sec
Property sale contract details captured into an intake form, a task that took staff 20–30 minutes by hand.
- 51+
AI products our team has built and put into live use for clients across industries.
of real estate investors, owners and landlords have started testing AI in their business
of commercial real estate firms have fully integrated AI, while 92% are still testing it
of online inquiries to real estate offices got no response within 24 hours
of property management firms use AI, but only 8% have fully automated a process
REAL ESTATE SOFTWARE COST CALCULATOR
How Much Would Your Real Estate Software Cost to Build?
Answer 4 short questions about your project, then get an estimated cost range and timeline. The estimate is based on real estate and AI projects Kodexo Labs has delivered. Takes about 30 seconds.
OUR SERVICES
Software Development and AI Services for Real Estate & Proptech Companies
Kodexo Labs builds new property software, adds AI to the systems your team already runs, and provides engineers and advisors when a project needs more capacity. Choose a tab to see each service, or view all our services.

Custom Software Development
Property management platforms, real estate CRMs, listing portals and investor dashboards built around how your team works. For proptech companies, we build and scale the product your customers use, from first release to enterprise accounts.
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Mobile App Development
Apps for agents, buyers, tenants and maintenance teams. Buyers search listings and book viewings, agents manage leads on the go, tenants pay rent and submit repair requests, and maintenance teams complete inspections with photos.
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Intelligent Automation
Lease data entry, rent roll updates, tenant onboarding and monthly owner reports handled automatically. Data moves between your CRM, property management system and accounting software, so your staff review the results instead of retyping them.
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Cloud and AI Infrastructure
Secure hosting on AWS or Azure for property, tenant and financial records. Your platform handles more units, listings and users as your portfolio or customer base grows, and sensitive data stays in an environment you control.
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Which Service Fits Your Real Estate Business?
Tell us about your current systems, and our engineers will recommend the right service in a free 30-minute call.
Real Case Studies From Our AI and Software Development Work
See the real estate systems we have delivered, along with projects from logistics, franchising, automotive, healthcare and e-commerce that use the same technology. Each one is a finished system with results measured after launch.
- Legal
- Document AI
- RAG
Q Agency
Contract data entry cut by 97%, from up to 30 minutes to under 30 seconds.
An AI tool that reads property sale contract PDFs and fills a 100+ field client intake form for a New South Wales law firm.
- 97%Less processing time per contract
- 25 hrsSaved each month at 50 contracts
- 100+Form fields filled automatically
- 24 hrsResponse on critical issues

- Logistics
- Text-to-SQL
- RAG
- Chatbot

Extensiv
90%+ query accuracy, up from about 75%.
A proof of concept that turns plain questions into database queries and answers knowledge questions for a warehouse software company.
- 90%+Database query accuracy
- 3–5 secAverage answer time, down from 5–8
- 207Database tables queried in plain English

- Franchise
- Chatbot
- Prompt Engineering

IFPG
About 6 hours of weekly manual preparation removed (estimated).
An improved franchise-listing chatbot with cleaner data inputs and tested prompts, built on an OpenAI assistant.
- ~6 hrsWeekly prep time saved (estimated)
- 45%Fewer context-overflow failures (estimated)
- 24/7Patient availability


- HR Tech
- Conversational AI
- Role-Play

Fairness Factor
An AI assistant that helps employees prepare for performance reviews.
A proof of concept that estimates an employee's chance of success, writes preparation documents and runs practice conversations.
- 3 toolsEstimate, documents, role-play
- POCProof of concept stage
- 1stTool to combine goal-setting, prediction, and self-advocacy


- E-commerce
- Image Generation
- Stable Diffusion

Zendrop
37 seconds to edit a product image, compared with about 120 minutes by hand.
A proof of concept that creates product backgrounds and edits clothing in product photos for a dropshipping platform.
- 37 secAverage run time per image
- 8Live catalog products tested
- ~120 minManual edit time per image before
- 20%Lift in session engagement

- Healthcare
- Voice
- Conversational AI

SmartMedHx
About 18 minutes of staff time saved on every patient interview.
A platform where an AI assistant interviews patients about their medical history by chat or voice and sends the provider a report.
- ~18 minStaff time saved per interview
- 493Interviews completed
- 42Healthcare providers using it

- EdTech
- Conversational AI
- Voice

Teacher AI
Over 500,000 conversations completed, 4.3 stars from 500+ ratings.
A conversational language-tutoring platform for intermediate learners, available as a consumer app and as an embeddable widget for schools.
- 500K+Conversations completed
- 2M+Words activated through practice
- 4.3/5Rating from 500+ reviews
- 20%Less session abandonment


- Healthcare
- RAG
- Patient Chat
Top Health AI
Answers patient questions only from physician-approved documents.
An AI assistant that answers patient questions by text message and web chat, using the clinic's own PDF pamphlets.
- 24/7Patient answers (design target)
- 3–4 wksKickoff to launch (plan)


- Automotive
- RAG
- Search

Diesel Laptops
Repair questions answered in plain language, not dropdown menus.
A chat search tool that reads a vehicle's details from a typed question and finds the matching repair information.
- 160KDataset rows searched
- <2 secAnswer time (design target)
- 85%Less time spent searching

- E-commerce
- Voice Agent
- Shopify
Instant UpSell Agent
Every new order gets a personalized upsell call within minutes.
A voice agent that calls Shopify customers after they order, offers a discount code and sends a checkout link by text message.
- 100%Orders followed up by call
- MinutesFrom order to call
- 30%Fewer follow-up clarifications
- 2.5xPrevious caseload per provider

Your project could be the next story here. Tell us what's slowing your team down.
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.
What Clients Say About The Team
Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.
Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham
MD President, Brigham and Associates, Inc.

WATCH VIDEO
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.
Why Real Estate Companies Choose Kodexo Labs as Their AI Development Partner
We build real estate AI from systems we have already delivered, including lease review, contract data extraction and multi-system assistants. Each project starts from tested methods, not from first-time experiments on your data.

Compliance
Data Protection and Compliance Standards for Real Estate & Proptech Companies
Kodexo Labs builds real estate systems to support the rules that apply to your business, including the Fair Housing Act for tenant screening and advertising, ECOA and GLBA for lending, RESPA for settlement services and CCPA for consumer data. AI used in screening, valuation or lending decisions includes a human review step. Tenant, buyer and borrower data can stay in your own AWS or Azure environment, access is limited to named staff, and every system keeps a record of who viewed or changed what. You receive documentation you can share with auditors, lenders and legal counsel.
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.
[2]
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.
[3]
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.
[4]
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.
Awards & Recognition
Independently Ranked Among the Top AI and Software Development Companies
Kodexo Labs has been recognized by Clutch, Upwork and other independent review platforms for delivering production AI and custom software that clients rate highly. The same standards shape every system we build for nonprofits and research institutes, from the first data review to the day it goes live.
Certified Partners of the Platforms We Build On
Kodexo Labs is an approved partner of the cloud, AI and records platforms behind its systems, and is independently rated among the top AI development firms.
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.
Discovery and Strategy
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.

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.

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.

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.

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.

What We Build With
The Technology Behind Our Real Estate & Proptech Systems
Every chatbot we ship runs on a proven set of technologies picked for accuracy, speed, and security. From the language models that understand your customers to the retrieval, voice, and cloud layers that keep answers fast and data protected, each tool earns its place by performing in production today and scaling with you tomorrow.
- OpenAI GPT
- OpenAI text-embedding-3-large
- OpenAI ADA-02 embeddings
- Anthropic Claude
- LangChain
- LangGraph
- CrewAI
- Azure Cognitive Search
- Qdrant
- Weaviate
- Milvus
- Pinecone
- FAISS
- ChromaDB
- Python
- FastAPI
- Next.js
- TypeScript
- Tailwind CSS
- Streamlit
- MongoDB Atlas
- PostgreSQL
- Supabase
- AWS
- Microsoft Azure
- Scaleway
- Docker
- Kubernetes
- GitHub Actions
- Deepgram
- ElevenLabs
- LiveKit
- Vapi
- SIP/PSTN
- WebRTC
- AES-256 encryption
- TLS 1.3
- reCAPTCHA
- Sentry
- Grafana
- Azure AI Document Intelligence
- PDF.co
- OAuth 2.0
- JWT
- Multi-factor authentication
- One-time passwords
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