Software development and AI pod teams for real estate

Ryz staffs senior Latin American engineering teams for brokerages, proptech companies, property managers and commercial real estate firms: MLS data platforms, property management integrations, transaction and closing tools, and portfolio analytics. Our AI pod teams build leasing, lead-response and document agents in your cloud and ship them to production; one of our pods built an AI real-estate agent that works 24/7. Teams work on US business hours, so they overlap with your agents, leasing offices and asset managers.

Real estate data is fragmented by design: hundreds of MLSs with their own rules, property management systems with uneven APIs, county records and leases that arrive as scanned PDFs. Trusted by Fortune 500 engineering teams, Ryz brings engineers from the top 1% of the tens of thousands we interview, and they work on your team, in your repos and standups.

What we build for real estate teams

• Listing data platforms. RESO Web API replication from many MLSs, normalization to the RESO Data Dictionary, deduplication, photo processing, and IDX and VOW display rules enforced in code.
• Search and maps. Geospatial search with PostGIS or Elasticsearch, school and boundary overlays, saved searches and alerts that fire within minutes of a status change.
• Property management integrations. Yardi Voyager, RealPage, Entrata, AppFolio and MRI connections for units, leases, rent rolls, work orders and resident ledgers.
• Leasing and resident apps. Self-guided tour scheduling with smart locks, online applications, screening workflows, rent payments and maintenance requests.
• Transaction and closing tools. Offer management, buyer and listing agreement workflows, DocuSign or Dotloop e-signature, title and escrow handoffs, and remote online notarization integrations.
• Brokerage back office. Agent onboarding, commission splits, compliance file review and CRM integrations with Follow Up Boss, kvCORE or Salesforce.
• Commercial real estate analytics. Lease abstraction pipelines, ARGUS model data feeds, portfolio dashboards and underwriting tools that pull from CoStar and internal data.
• Mortgage and home services integrations. Pre-approval flows, loan origination system handoffs using MISMO data, and insurance and moving partner referrals.

Where AI pods help in real estate

Real estate AI has two big constraints: answers must match live inventory, and fair housing law applies to what an agent says and to whom. Our AI pod teams design for both.

• Leasing and lead-response agents. Agents that answer questions about units, pricing and policies, book tours and follow up by text, email or phone. One of our pods built an AI real-estate agent that runs 24/7 in production, moving prospects forward outside office hours; see the case studies. The engineering work is grounding answers in live availability, consent tracking and clean handoff to leasing staff.
• Lease abstraction. Extracting rent schedules, escalations, options and co-tenancy clauses from commercial leases into structured data, with confidence scores and a reviewer queue. Accuracy on amendments that override the original lease is where most tools fail.
• Listing quality and compliance review. Checking listing remarks and photos against MLS rules and fair housing guidelines before they publish, and flagging language that steers buyers.
• Resident support and maintenance triage. Classifying maintenance requests, asking the right follow-up questions, and routing emergencies like water leaks straight to on-call staff.
• Valuation and underwriting support. Comparable selection and pricing models for analysts, with transparent features and no protected-class proxies such as neighborhood demographics.

Our pods have also shipped an AI voice platform with more than 1M outbound calls, a pattern that applies to lead follow-up when consent rules are respected.

Regulations and constraints our engineers work within

• Fair Housing Act. Advertising, search filters, chat responses and ad targeting must not discriminate or steer by protected class. This applies to AI agents and ad audiences, not only human agents.
• FCRA. Tenant screening reports are consumer reports, with adverse action notices and dispute handling, plus local rules on criminal history and source of income.
• TCPA and state telemarketing laws. Calls and texts to leads need the right consent, which is central to any outbound AI agent.
• RESPA and TRID. Rules on settlement services and referral fees and on mortgage disclosures shape how platforms connect buyers to lenders, title and escrow.
• MLS and NAR rules. IDX and VOW display policies, data licensing terms, and practice changes after the 2024 NAR settlement, such as written buyer agreements and keeping compensation offers off the MLS.
• Privacy and payments. GLBA for mortgage-related data, CCPA/CPRA and other state privacy laws, and PCI DSS scope for rent payments.

Our engineers have experience working within these requirements under your legal team's guidance and your controls. Ryz does not claim compliance certifications for its teams.

Integrations and data

• Listing data: RESO Web API and Data Dictionary, OData queries, legacy RETS migrations and MLS aggregators.
• Property management: Yardi, RealPage, Entrata, AppFolio, MRI and ResMan.
• Screening and payments: TransUnion SmartMove and other screening providers, Stripe and ACH rails.
• Access and IoT: SmartRent, Latch and other smart lock platforms for self-guided tours.
• Public and market data: county assessor and recorder data, CoStar, ATTOM and census data, joined in a warehouse by our data engineering teams.

How teams engage Ryz

• Staff augmentation. Add senior full-stack, data or mobile engineers to your team. See hire real estate software developers.
• Dedicated development team. A Ryz team owns a scoped system, such as multi-MLS ingestion, a Yardi integration layer or a lease abstraction pipeline.
• AI pod. A pod of senior engineers, including a tech lead and an ML engineer, builds a leasing or lead agent in your cloud and runs it to production, as one of our pods did for the 24/7 real-estate agent.

The steps are Talk, Match, Join and Grow. Typical cost is $7,000–$15,000 per engineer per month: mid-level $7,000–$10,000, senior $10,000–$15,000, leads $15,000+. Four senior engineers at $12,500 a month for five months is $250,000. You get a plan, a price and the names of the people before you start.

When Ryz isn't the right fit

• You want an off-the-shelf property management or CRM product configured, not software built.
• You want a short hourly gig from a freelance marketplace with no scoping conversation.
• You need teams in Europe or Asia time zones, or a strategy consultancy for a portfolio-wide transformation program.

Related

• AI agent development
• AI voice agent development
• Financial services software teams
• Insurance software teams
• Mobile app development

FAQ

Can your engineers work with multiple MLS feeds?

Yes. Our engineers build RESO Web API replication across many MLSs, map local fields to the RESO Data Dictionary, handle photo and status updates, and enforce each MLS's display and attribution rules.

How do your engineers handle tenant and buyer data?

They work in your environment, under your access controls, logging and data retention policies, and personal and screening data stays in your accounts. Ryz does not claim compliance certifications; our engineers have experience working within FCRA, GLBA, Fair Housing and state privacy requirements as your legal team defines them.

Is an AI leasing agent safe under fair housing rules?

It can be designed carefully: answers grounded in published property policies, no steering language, consistent responses regardless of who asks, logs your compliance team can review, and handoff to a person for sensitive topics like accommodation requests.

What does a real estate engineering team cost?

Typical rates are $7,000–$15,000 per engineer per month by seniority. Cost is team size times months times rate; three engineers averaging $11,000 for six months is $198,000.

Do you work with commercial as well as residential real estate?

Yes. Our teams build lease abstraction, portfolio analytics and underwriting tools for commercial firms, and listing, leasing and transaction systems for residential brokerages and property managers.

Questions we didn't answer? Email info@ryzlabs.com.