- AWS Advanced Tier Services Partner
- Established 1999
Real Estate Software Development
We build, modernize, and connect software for real estate companies and PropTech teams, from listing tools to AI that works inside the systems agents already use.
New software and AI
Modern API layer
- Listings
- MLS
- CRM
- Transactions
SYSTEMS YOU ALREADY RUN
Software for Real Estate
JBS Dev builds, modernizes, and connects software for real estate companies and PropTech startups. That includes listing tools, integrations between listing, CRM, and transaction systems, data platforms for reporting, and AI with people reviewing the decisions that matter.
The work often starts small. For a PropTech startup, a 6 to 8 week proof of concept showed AI could write listing descriptions from property photos, then grew into a full platform. Senior engineers lead the work, and you own everything we build.

Where most engagements start
Many engagements begin with a Quick Launch Lab assessment, free for qualifying organizations. We review your systems and workflows, then recommend where to start, including what to leave alone.
WHAT WE HEAR
The Problems Real Estate Teams Bring Us
Real estate teams usually come to us with listings that take too long to write, data spread across listing, CRM, and transaction systems, and AI ideas nobody has proven yet. Real estate software development has to save agents time without asking them to learn another tool.
Listings that eat agents' time
Writing a description for every listing can take more than 30 minutes, so agents often post the photos with a line or two of generic text.
MLS fields left blank
Agents skip the MLS fields that take time to fill in, so listings go live without details buyers search for.
AI nobody has proven yet
Leadership wants to know whether AI is accurate enough for agents to adopt before funding a full platform.
Systems that don't share data
Listing, CRM, transaction, and reporting systems each hold part of the picture, so staff re-key the same details more than once.
OUR APPROACH
Prove It First, Then Build the Platform
We start small enough to learn fast. A focused proof of concept shows whether an idea works for your agents, and only then do we build it into a platform connected to the systems you already run. Senior US-based engineers lead our builds, and nearshore support is an option for ongoing work.
Big platform first
- Months before anyone sees results
- Features agents never asked for
- Another login to remember
- No proof the AI is accurate
Proof of concept first
Senior engineers decide
Senior engineers and technical leaders lead every engagement and make architecture, integration, and security decisions directly.
A proof of concept in weeks
For a PropTech startup, a 6 to 8 week proof of concept on Amazon Bedrock proved AI could write listing descriptions from property photos.
Built where agents work
New capabilities connect through APIs to the listing and CRM systems your team already uses, instead of adding another tool.
You own what we build
We don't sell licenses or platforms. You own everything we build.
WHAT WE BUILD
Software Development for Real Estate
We build, modernize, and connect software for real estate companies and PropTech teams, from listing and MLS tools to customer apps, data platforms, and AI agents.
AI Agent Development
Builds AI agents that carry out multi-step work across systems, with people approving the actions that matter.
Custom Software Development
Builds software around an organization's own workflows, data, and rules when off-the-shelf products don't fit.
Web & Mobile Applications
Builds web and mobile applications for customers and staff, connected to the systems behind them.
Systems & Enterprise Integration
Connects separate systems through APIs and data pipelines so information moves without manual re-entry.
Data Warehouse & Data Platforms
Brings data from many systems into one trusted source for reporting, analytics, and AI.
AWS Consulting & Development
Designs, builds, and runs applications on AWS, from serverless functions to managed databases and generative AI.
HOW IT WORKS
How a Real Estate Project Runs
STEP 1
Assessment
We review the problem, the systems involved, and the data, then recommend where to start.
STEP 2
Proof of concept
A focused build tests whether the idea works on real listings and data.
STEP 3
Real-world review
The people who will use it try it, and we fix what they find before it scales.
STEP 4
Platform build
We build the proven idea into a platform connected to your systems.
STEP 5
Expansion
New capabilities go in stages, the way one PropTech startup grew its platform through five expansions.
AI IN REAL ESTATE
AI in Real Estate: Where It Works Today
AI in real estate works best on repetitive, detail-heavy work: writing listing descriptions, filling in listing fields, reading documents, and answering questions from property and client data.
Agentic AI in real estate goes a step further and carries out a multi-step task, such as scanning listing photos, writing the description, and filling in the MLS fields, with people reviewing what goes out.
01 · LISTINGS
Listing descriptions from photos
For a real estate startup, an agent scans listing photos, identifies the home's features, writes the description, and fills in the MLS fields that listing agents often skip. A 6 to 8 week proof of concept on Amazon Bedrock cut description writing from more than 30 minutes to under 5.
Task
Write the description and fill in the MLS fields
AI
An AI agent on Amazon Bedrock scans the photos
Person reviews
Realtors review or edit the content before it's submitted
Outcome
<5 min
per description, down from more than 30
02 · DOCUMENT CHECKS
Checking documents against their rules
Each document starts with the fields that matter and the rules they must pass. AI reads the document, pulls out those fields, and checks them, and when it isn't sure, it sends the document to a person instead of guessing.
Task
Pull and check the fields that matter in each document
AI
AI reads each document against its rules
Person reviews
A person decides the low-confidence results
Outcome
Confident documents clear, and exceptions wait for a person
03 · ASK THE DATA
Answering questions from property and client data
Instead of waiting days for a report, teams ask questions in plain English. An AI agent writes the queries, runs the analysis in a sandbox instead of the production data warehouse, and returns results a person checks before acting.
Task
Answer questions about listings, clients, and deals
AI
An AI agent writes and runs the queries in a sandbox
Person reviews
The team checks the results before acting
Outcome
Answers without a week-long report request
Start with an AI readiness assessment
Not every process is ready for AI. An AI readiness assessment checks your data, systems, and goals, then identifies which use cases are worth building first and which to leave alone.
PROOF
Results for Real Estate
For a PropTech startup, JBS Dev built a 6 to 8 week proof of concept on Amazon Bedrock that cut listing description writing from more than 30 minutes to under 5, then expanded it into a full platform.
<10 min
Per listing, down from up to a full day

Real Estate
AI Listing Creation for a Real Estate Client
Challenge: Realtors spent hours entering MLS listings by hand on outdated platforms.
Result: An Amazon Bedrock platform and a Chrome extension cut listing creation from up to a full day to under 10 minutes.
Read Case Study"JBS feels more like an extension of our internal team than a traditional vendor relationship."
Senior IT Leader, AmeriVet Partners
SYSTEMS WE WORK WITH
Built Around the Systems You Already Run
We connect to the listing, MLS, CRM, and transaction systems your team already uses, through APIs and data pipelines, so new tools and AI work inside them instead of beside them.
Explore Systems & Enterprise IntegrationCONNECTED IN PLACE
Listings and MLS
APIs and data pipelines
CRM and transactions
LISTING PHOTOS TO MLS FIELDS
Listing photos
Uploaded in a web app
AI agents on Amazon Bedrock
Write the listing data
Chrome extension fills in the MLS form
ENGAGEMENT MODELS
Ways to Work With Us
There are three ways to work with us: an assessment, a defined project, or ongoing teaming and managed delivery. Most engagements start with the assessment, so the plan is settled before anyone touches a production system.
Read more about the ways to work with us.
Assessment & Strategy
For companies that need clarity before committing to a build.
Start here if you're not sure what to change first. We review your systems and workflows, weigh difficulty against business impact, and recommend where to start, including what to leave alone. You get a roadmap you can act on with us or on your own. Many engagements begin with a Quick Launch Lab assessment, free for qualifying organizations.
- Technical assessment
- Architecture review
- AI opportunity mapping
- Modernization roadmap
- Prioritized recommendations
Best when: You need to understand the opportunity, risk, architecture, or roadmap before investing in a larger build.
Projects
For companies ready to build or modernize a defined system.
For a defined scope, senior engineers lead delivery from architecture through release. We work in stages around the systems you already run, write tests for core components, and ship through CI/CD so progress is visible early. You own everything we build, with knowledge transfer and documentation tailored to your team.
- Modernization projects
- Custom applications
- Cloud platforms
- Data systems
- Integrations
- AI agents
Best when: You have a clear business problem, workflow, or platform that needs to be built, modernized, or connected.
Teaming / Managed Delivery
For companies that need experienced delivery capacity.
When you need more than a single project, services we can provide include architectural guidance for your existing team, hands-on development, QA, and ongoing support for the systems we build or modernize. Senior US-based engineers lead our builds, and nearshore support is an option for ongoing work.
- Senior-led teams
- Embedded engineering
- Ongoing development
- Knowledge transfer
- Flexible support
Best when: You need reliable engineering capacity, technical leadership, or ongoing delivery support without adding unnecessary management overhead.
WHO YOU WORK WITH
Senior Engineers Who Know Real Estate
Engagements are led by senior engineers and technical leaders, and the people you meet in the first call do the work.

Joe Rose
President
An engineer by training, Joe has spent two decades building and leading software teams and has led JBS Dev since 2021. Before that, he ran project delivery across JBS engagements as Vice President of Delivery.
Read Joe's bio
Doug Parker
Senior VP of Sales & Marketing
Doug has spent more than two decades at JBS Dev, starting as a developer. As Senior Vice President of Delivery, he set the delivery standards used across JBS Dev engagements. He holds PMP, CSM, and PMI-ACP certifications.
Read Doug's bioWHY JBS DEV
How to Choose a Real Estate Software Partner
If you're weighing agentic AI for real estate or a new platform, these five questions separate a partner who proves the idea first from one who sells you a long build.
- Who does the work?
- Senior engineers. Engagements are led by senior engineers and technical leaders who make architecture, integration, and security decisions directly, so the people you meet in the first call do the work.
- Can we test the idea before funding a platform?
- Yes. For a PropTech startup, a 6 to 8 week proof of concept showed AI could write listing descriptions from property photos, and the work then grew into five platform expansions.
- Will agents have to learn another tool?
- Not if we can avoid it. New capabilities connect through APIs to the systems your team already uses. For listings, the AI starts working when the agent uploads the photos.
- Who owns what you build?
- You do. You own everything we build, including the code. We don't sell licenses or a platform, so there's no ongoing fee to keep using your own system.
- Where is the team?
- Senior US-based engineers lead our builds, and nearshore support is an option for ongoing work.
JBS Dev is a senior-led software development company, founded in 1999, that builds, modernizes, and integrates software for real estate companies and PropTech teams.
FAQ
Real Estate Software Development FAQs
What does real estate software development include?
Real estate software development covers building, modernizing, and connecting the systems real estate companies run on: listing and MLS tools, CRM and transaction systems, customer and agent apps, property and client data, and reporting. It also includes AI that writes, checks, and answers questions from that data, connected to the tools agents already use.
How is AI used in real estate today?
AI is used most today for repetitive, detail-heavy work: writing listing descriptions from photos, filling in listing fields, reading documents, and answering questions from property and client data. The projects that work keep people reviewing what goes out, and they start with a proof of concept before a full build.
What is agentic AI in real estate?
Agentic AI carries out a multi-step task instead of only answering a question. For a real estate client, JBS Dev built a platform and a Chrome extension that pull the listing details, write the description, and fill in the MLS.
Do you work with our existing systems?
Yes. We connect to the systems you already run through APIs and data pipelines rather than replacing them. Existing systems can also connect to AI through Model Context Protocol, so tools can use them without a rebuild.
How does an engagement with JBS Dev start?
Most engagements start with an assessment. We review the problem you want solved and the systems involved, then recommend where to start, including what to leave alone. Many begin with a Quick Launch Lab assessment, free for qualifying organizations, with no obligation to continue. From there, work moves to a defined project or ongoing support.
How long does a typical real estate project take?
It depends on scope, and the assessment sets the timeline. Because we work in stages, the first working software reaches production before the whole project is done.