Leobit
AI in
Real Estate and PropTech
AI-powered real estate and proptech software development for product companies, brokerages, property managers, and investors. Custom AI built for the MLS, CRM, and property management platforms you already run.
1.5M
users of custom proptech
solutions
$1.4 bn
in real estate transactions
facilitated
Data & AI, Digital & App Innovation
Clutch Top 1000 Global Service Provider, 2025
Top Artificial Intelligence Award Winner
Silver Stevie Award, 2025
ISO 9001:2015
ISO 27001:2022
Silver Stevie Award 2025
Top 1000 Companies 2025
Top .NET Developer 2026
Top Generative AI Company
Global Business Tech Awards
Apps & Software
Digital & App Innovation
Data & AI
Platinum Partner
Artificial Intelligence
.what we do
Why Real Estate and PropTech Companies
Add AI to Their Stack
Most real estate firms sit on more data than they use. Listings and MLS feeds, signed leases, transaction histories, tenant tickets, and building sensors all produce records that rarely reach a decision-maker in time to influence outcomes. McKinsey found that companies putting AI to work on this data report net operating income gains above 10 percent.
The obstacle is rarely the model. It is the platform underneath it. A large share of the industry still runs on systems built a decade ago, and plenty of teams still value properties and forecast cash flow in spreadsheets. We build AI that reads from those systems and writes back into them, so a valuation, a screening result, or a drafted lease lands inside the tool your team already opens every morning.
Eight years of real estate and proptech software development have taught us where a model earns its keep and where it only adds noise. Leobit stays on engagements for years, which is how the AI keeps paying off as your portfolio and data evolve over time.
Built for the deal lifecycle
Search, valuation, leasing, finance, and management
Reads your MLS and PMS
Works with your systems of record, no rip-and-replace
Anti-discrimination by design
Screening and pricing models are reviewed for bias and designed to comply with U.S. Fair Housing requirements and the EU AI Act, with human oversight and sign-off.
Eight years in PropTech
Winner of Best PropTech Company of the Year at the Global Business Tech Awards.
Cloud on your terms
Azure, AWS, Oracle or GCP
Models you can audit
Explainable outputs, drift monitoring, and audit logs your compliance team can provide to regulators.
.top use cases
Top 5 AI Use Cases
We Deliver for Real Estate and PropTech Clients
Property valuation and investment scoring
An automated valuation model reads local comparables, property attributes, school and job-market data, and historical pricing, then returns a value and a confidence range. Investors get a ranked shortlist instead of manually reviewing spreadsheets, and appraisal turnaround shrinks from days to minutes.
Natural-language search and listing generation
Buyers now expect more than traditional dropdown filters. We build search that answers queries like “three-bed near good schools under $600K” against MLS-integrated data, and generative tools that draft and optimize each listing so it ranks and reads well.
Tenant screening and lease automation
Models pull background, credit, and income signals into one view and flag the cases worth a closer look. Lease tracking, renewal alerts, and rent reminders can be automated. The final tenant approval decision remains with a human reviewer, helping organizations align with U.S. Fair Housing requirements and the EU AI Act.
Conversational support for tenants, buyers, and renters
A generative assistant handles maintenance requests, viewing bookings, document questions, and status checks in several languages, around the clock. Requests it cannot resolve are automatically escalated to the appropriate agent or property manager, along with the relevant context.
Document intelligence for leases, contracts, and due diligence
A single lease can exceed one hundred pages, and a property portfolio may contain thousands of documents. OCR and NLP models read leases, sales contracts, and public records, extract the terms and dates that matter, and push them into your system eliminating manual data entry.
.what we offer
AI Solutions We Build
for Real Estate Software
We engineer AI across three core areas of the real estate business: property management, transactions, and investment. Each solution is
built to fit the data and the integration limits a real estate company actually has.
Property and tenant management
- AI tenant screening and risk assessment
- Lease management and rent collection automation
- AI virtual assistants and tenant portals
- Predictive maintenance for buildings and facility assets
Transactions and marketing
- Property search and recommendation engines
- Generative listing and description tools
- Virtual staging and property tour generation with computer vision
Finance and investment
- Automated Valuation Models (AVMs)
- Real estate financial modeling and investment scoring
- Smart document processing with OCR and NLP
What Improves After AI Goes Live
Net operating income is the primary business outcome, but it improves only when the supporting metrics improve first.
Net operating income
Time-to-lease and vacancy
Valuation turnaround
Lead-to-close rate
Hours spent on administration
Cost per processed document
Audit and compliance effort
.our clients
Who We Build
Real Estate AI For
PropTech Product Companies
Your platform competes on features. We add the AI that sets it apart, from natural-language search to valuation and document automation, and deliver it as part of your roadmap rather than a side project.
CRE Firms & Brokerages
CRE runs on relationships and pipelines. We build CRM, deal tracking, and tenant analytics that surface the next opportunity instead of burying it in a report, as we did for ClientLook’s commercial real estate CRM.
Residential & Property Management
Listings, leasing, and tenant care are high-volume and repetitive. We automate screening, support, and lease workflows so a smaller team covers a larger portfolio without compromising service quality.
Investment & Finance
REITs and funds live and die by the underwriting call. We build investment and portfolio platforms with predictive analytics and financial modeling where historical data can support reliable forecasts and valuations.
Mortgage & Lending Providers
Origination and underwriting are document-heavy and time-sensitive. We build software that reads applicant and property data, scores risk, and hands the officer a decision-ready file.
Facility & Construction Management
Buildings generate constant telemetry. We use it to generate predictive maintenance and occupancy insights, so service gets scheduled before something breaks and space gets used before it is leased again.
.our process
How We Deliver
a Real Estate AI Project
Discovery and consulting
We map your workflows and data against your constraints, with anti-discrimination and data privacy rules, from US Fair Housing to the EU AI Act and GDPR, treated as design inputs from day one. You leave this stage knowing where AI creates value and what to build first.
Solution and architecture design
We turn the priorities into an AI roadmap and a system architecture that fits your existing platform. Model choices are driven by your data readiness and business objectives, not by technology trends.
Data preparation and training
We clean and structure listings, lease and transaction records, MLS feeds, and building data, then train and validate models against real outcomes so the output holds up in production.
Integration and testing
We connect the models to your MLS, CRM, PMS, and ERP without disturbing what works. Regression, performance, bias, and security testing all happen before go-live, not after issues emerge in production.
Compliance and ongoing assurance
Every model is checked against the compliance baseline, with extra scrutiny on screening and pricing. We provide explainable outputs, monitor model drift, and maintain audit logs that support regulatory reviews and compliance requirements.
.tech stack
Real Estate Software
Tech Stack
.NET stack
- .NET
- ASP.NET Core
- Blazor
- .NET MAUI
- EF Core
AI and ML
- Machine Learning
- Generative AI
- Predictive Analytics
- Computer Vision
- Chatbots
Cloud
- Azure
- AWS
- GCP
- Serverless
- SaaS/PaaS
Backend
- .NET Core
- Node.js
- Ruby
- PHP
- Python
Frontend
- Angular
- React
- Vue.js
- JavaScript
- TypeScript
Mobile
- Flutter
- Swift
- Kotlin
- iOS
- Android
Databases
- SQL Server
- PostgreSQL
- MySQL
- MongoDB
- Azure Cosmos DB
BI / DW
- Tableau
- Power BI
- Azure Synapse
- BigQuery
- Redshift
.case studies
Real Estate and PropTech
Projects
A Comprehensive and Compliant Property Exchange Platform
Leobit helped a US-based proptech company modernize a comprehensive platform that supports fast and secure online processing of 1031 exchanges. The platform provides multiple features for exchange workflow automation, offers diverse document templates, and ensures compliance with industry-specific regulations and standards.
Real Estate Bidding Platform
Adopting a user-centric approach, our UI/UX Team created prototypes and design concepts that outline the solution's core functionalities, including property bidding and representation of unlisted properties.
Commercial Real Estate CRM
Leobit helped a customer enhance their commercial real estate CRM to gain a competitive edge in the proptech sector. They recognized the pivotal role of email marketing for commercial real estate (CRE) professionals and aimed to establish integrations with top marketing automation platforms.
.integrations
Integrates With Your
Real Estate Stack
We build on the tools your team already depends on, so the AI shows up inside existing workflows.
MLS and IDX
- Zillow
- Bright MLS
- RealTracs
- Rightmove
- Zoopla
- ImmoScout24
Property and market data
- Attom
- public records
- listing aggregators
CRM and marketing
- HubSpot
- Mailchimp
- Salesforce
Documents and e-signature
- DocuSign
Property management, ERP, and accounting
- Yardi
- MRI
- QuickBooks
.core ai solutions
Our Core Real Estate AI Solutions
All Solutions
Delivery Effort
Data Needs
Automated Valuation Model
Values a property from comparables, attributes, and historical pricing, with a confidence range.
Investment Scoring Engine
Ranks investment opportunities based on expected returns.
Property Search and Recommender
Natural-language search over MLS-integrated data, tuned to how each user actually browses.
Listing Description Generator
Drafts and optimizes listing copy from property features and current market trends.
Virtual Staging Engine
Furnishes and redecorates empty rooms from photos using computer vision.
Tenant Screening Model
Consolidates background, credit, and income checks, with the final call left to a human reviewer.
Lease and Rent Automation
Tracks terms and renewals and runs rent reminders and collection on schedule.
PropTech Virtual Assistant
Handles tenant and buyer inquiries and viewings around the clock.
Predictive Maintenance Model
Detects potential flags building and asset failures early from sensor and maintenance data.
Document Intelligence
Reads leases, contracts, and records with OCR and NLP and structures the output.
.why leobit
Why Choose Leobit for PropTech Software Development and AI
A dedicated team that has been building real estate software since before AI became mainstream, continuously deepening its expertise with every engagement.
- 8 years of real estate and PropTech software development experience
- 1.5M users across delivered PropTech solutions; $1.4 billion in real estate transactions facilitated
- Best PropTech Company of the Year, 2024 Global Business Tech Awards
- Named a Clutch Top Real Estate Software Developer in 2025
Microsoft Solutions Partner for Digital and App Innovation and for Data and AI - ISO 9001:2015 and ISO 27001:2022 certified
- Experience delivering a proptech platform with SOC 2 Type II requirements
- Designed to meet GDPR and CCPA requirements while following OWASP security best practices
- Recent recognition includes the Silver Stevie Award 2025, the Global Tech Award for
- Artificial Intelligence 2025, and a place among Clutch’s
Top 1000 Global Service Providers in 2025
FAQ
Valuation, listing generation, and document processing tend to return value fastest, with tenant and buyer support automation close behind. None of them require replacing your platform. For firms with high listing or lease volume, support automation is often the easiest place to start.
Screening and tenant-evaluation models are built with human sign-off, in line with US Fair Housing guidance from HUD and the EU AI Act, which classifies AI systems used in housing-related decision-making as high-risk. We review models for bias, keep outputs explainable, and log every decision, which also covers GDPR rules on automated decision-making. We apply the same governance approach to data privacy requirements, including CCPA, as well as relevant lease-accounting standards.
Yes. Fragmented data is the normal starting point in this industry, not a blocker. We usually begin with a Proof of Concept on the data you have, then improve collection and structure as the project proves its value.
Yes. We integrate AI into your existing MLS, CRM, PMS, and ERP without replacing what works, using the same integration-first approach we applied in our property exchange and CRM projects.
It depends on data readiness and scope. A focused PoC can run in a few weeks; a production MVP, like our real estate bidding platform, can ship in under six months.
