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Property Management Software
Centralized platforms for landlords and property managers to handle lease tracking, rent collection, maintenance requests, and tenant communications without switching between multiple disconnected tools.
AI-Enhanced Real Estate Software Development Solution
We build custom real estate software from property management platforms and MLS-integrated listing systems to AI-enabled valuation tools and PropTech products for brokerages, property managers, developers, and real estate startups that need production-ready software, not off-the-shelf compromises. Our real estate software development team combines deep domain knowledge, AI-integrated architecture, and a track record of delivering platforms that actually get used.
13+
Years of Experience
50+
Experts in Our Team
40+
Happy Customers Worldwide
250+
Projects Delivered Successfully
4.9/5 ratings
5/5 ratings
What We Build for Real Estate Businesses
Solvios is a real estate software development company building custom property management platforms, MLS-integrated listing systems, real estate CRM tools, AI-enabled valuation software, and PropTech products for brokerages, property managers, developers, and investors. We work across the full real estate technology stack web, mobile, cloud, and AI for companies that need software built around how their business actually operates, not around how a generic SaaS product expects them to work.
MLS & Listing Platforms
Custom MLS-integrated listing portals, IDX feed connectors, and property search platforms built for brokerages and aggregators that need real-time data and high-performance search.
Real Estate CRM Development
Custom CRM systems built for the specific workflow of real estate agencies lead tracking, deal pipeline, agent performance dashboards, and client communication history in one place.
AI-Enabled Valuation Tools
Automated valuation models (AVMs) trained on market data, comparable sales, and property attributes producing accurate valuations in seconds rather than hours of manual analysis.
PropTech Product Development
End-to-end product engineering for real estate startups from MVP architecture and first release through growth engineering, platform scaling, and feature expansion.
Why Real Estate Businesses Come to Us
Most real estate operations we talk with are dealing with the same set of problems: critical data scattered across spreadsheets, three different CRMs, and a property management tool that still sends fax notifications. Some have tried generic SaaS platforms that almost fit their workflow. Others built something custom five years ago and are now running on code no one on their current team fully understands. We have spent 13 years in this category. Here is what actually needs fixing.
Disconnected Systems That Don't Talk to Each Other
Property listings are in one tool, tenant records in another, financial reporting in a spreadsheet, and maintenance requests in someone's email inbox. Your team spends the first two hours of every day moving data between systems manually before any actual work gets done. Every integration you have tried has broken within six months.
Generic Software That Doesn't Fit Real Estate Workflows
Off-the-shelf property management and CRM platforms are built for the average use case and real estate workflows are rarely average. Lease structures, commission splits, multi-property ownership hierarchies, MLS data requirements, and compliance obligations vary too much across brokerages, developers, and operators for a standard SaaS product to fit cleanly. You end up bending the business to fit the software instead of the other way around.
No Real-Time Visibility Into Portfolio or Pipeline Performance
You cannot get a single view of occupancy rates, lease expiry timelines, maintenance costs, and NOI across your property portfolio without pulling reports from three different systems and reconciling them manually in Excel. Deal pipeline visibility for agents and brokers is just as bad there is no authoritative source of truth on where each deal actually stands.
Compliance and Documentation Risk
Lease agreements, disclosure forms, inspection records, title documents, and compliance filings are scattered across email threads, shared drives, and physical files. When an audit happens or a dispute arises, finding the right document takes longer than it should. For lenders and mortgage operations, the compliance exposure from manual document handling is significant and growing.
Outdated Technology That Blocks Growth
The platform that worked when you had 50 properties or 10 agents does not work at 500 properties or 100 agents. Performance degrades, integrations break under volume, and your development team spends most of its time keeping the current system running rather than building the capabilities that would actually grow the business. A rebuild is overdue and everyone knows it.
Real Estate Software Development Services We Deliver
We don't template our way through real estate projects. Every engagement starts with your specific property types, transaction workflows, compliance requirements, and user base and the software is built to fit that, not the other way around.
Full-cycle property management platforms handling everything from lease origination and rent collection to maintenance scheduling, tenant communications, and financial reporting. Built for property managers running residential, commercial, or mixed-use portfolios of any size. We architect these systems to consolidate your operations into one platform so the data that drives decisions lives in one place rather than five.
Lease Management and automated renewal worklfows
Configurable lease templates, automated expiry alerts, digital signature integration, and renewal workflows that run without manual intervention.
Tenant portal with self-service access
Tenant-facing web and mobile portal for rent payments, maintenance requests, document access, and communication reduces inbound support volume significantly.
Maintenance request tracking and vendor management
Structured maintenance workflows from tenant submission through vendor assignment, job completion, and cost capture with full audit trail.
Financial reporting and NOI dashboards
Real-time financial performance by property, portfolio, or ownership entity P&L, cash flow, occupancy, and NOI without manual reconciliation.
Custom MLS-integrated listing portals and property search platforms for brokerages, real estate agencies, and aggregators. We build IDX feed connectors, RESO Web API integrations, and high-performance property search with filtering, mapping, and saved search capabilities. If you are competing for local market search traffic, the technical foundation matters and we know how to build it.
IDX / RESO Web API feed integration
Real-time MLS data ingestion, normalization, and display compliant with your MLS's data licensing requirements and updated on the MLS's publish cadence.
Advanced property search with map interface
Polygon-draw search, radius search, filter combinations, and saved search with alert notifications designed for buyers who know what they want.
Property detail pages with SEO architecture
Individual listing pages with schema markup, metadata optimized for property search queries, and structured data that earns Google visibility for local real estate searches.
Neighborhood guides and local market content
School district data, walkability scores, local business listings, and market statistics are the content that makes a listing portal a destination, not just a search box.
Custom CRM systems built around how real estate agencies and brokerages actually work not around how a generic B2B sales CRM expects a sales team to operate. Lead-to-close pipeline management, agent performance tracking, client communication history, and deal workflow automation built for the volume and complexity of residential and commercial real estate transactions.
Lead capture and routing from multiple sources
Web forms, portal leads, phone calls, and third-party sources flowing into a single CRM with automatic routing, deduplication, and lead scoring.
Transaction pipeline with stage-specific workflows
Configurable pipeline stages from initial inquiry through offer, contract, and close with task automation, deadline tracking, and document checklist at each stage.
Agent performance dashboards
Individual agent KPIs, team leaderboards, conversion rate tracking, and commission calculation visible to agents and management in real time.
Client communication history
Every email, call, showing, and document interaction is logged against the contact record so any agent can pick up a client relationship without starting from scratch.
AI-integrated real estate software where the intelligence is built into the architecture from day one not bolted on as a feature after the product is already built. Automated valuation models, predictive analytics, smart lead scoring, document intelligence pipelines, and natural language search capabilities for real estate platforms that need to get smarter as they process more data.
Automated Valuation Models (AVMs)
ML-based property valuation trained on comparable sales, market trends, property attributes, and location signals producing AVM estimates in seconds with confidence intervals.
Predictive maintenance and risk scoring
IoT sensor data and historical maintenance patterns feeding ML models that flag high-probability maintenance failures before they become costly emergency repairs.
AI lead scoring and conversion prediction
Behavioral signals from listing views, inquiry patterns, and market timing combined in ML models that rank leads by conversion probability giving agents a prioritized call list.
Automated document processing
OCR extraction and NLP-based clause identification that processes lease agreements, title documents, and inspection reports at speed automating the manual review that consumes hours.
iOS and Android applications for property search, tenant self-service, agent tools, and investor portfolio monitoring. We build mobile-first rather than treating mobile as an afterthought because buyers search on phones, tenants raise maintenance issues on phones, and agents close deals on phones. Cross-platform delivery in React Native or Flutter. Native Swift and Kotlin when the use case demands it.
Property search with map-based interface
Geo-filtered property discovery, saved searches, listing alerts, and virtual tour integration optimized for mobile performance and one-handed use.
Tenant and property manager portals
Rent payment, maintenance requests, lease documents, and notifications available on mobile for the tenants who never sit at a desktop.
Agent and investor tools
Deal tracking, portfolio dashboard, document signing, and client communication purpose-built for the real estate professional who works from the field.
Offline capability
Property data, client notes, and inspection checklists accessible offline for agents working in areas with poor connectivity synced automatically when connection is restored.
End-to-end product engineering for real estate technology startups from architecture and MVP through growth engineering and platform scaling. We have built PropTech products across the property marketplace, short-term rental management, commercial real estate analytics, and real estate investment platforms. If you are building a new real estate technology product and need a development partner who understands both the technology and the industry, this is the engagement.
MVP to production in a defined timeline
Architecture decisions made with the MVP in mind but built to avoid the rebuild six months later when the product starts gaining traction.
MLS, payment, and third-party API integrations
Stripe, DocuSign, Twilio, Google Maps, and MLS data sources integrated cleanly so the product works end-to-end on day one.
Multi-tenant SaaS architecture
Data isolation, subscription billing, and tenant-level customisation built in from the start so when you sell to your second client, the platform is already designed for it.
AI and ML capabilities
AVM, recommendation engine, smart search, and analytics features are architected into the product from the beginning rather than retrofitted after the core product exists.
We Build for Every Real Estate Stakeholder
Real estate is not one industry it is five or six overlapping ones. The software a property manager needs is different from what a brokerage needs, which is different from what a PropTech startup needs. We have built for all of them.
Property Managers & Landlords
Centralized platforms to manage tenant relationships, lease cycles, maintenance workflows, vendor payments, and portfolio-level financial reporting without cobbling together seven separate tools. Property managers who work with us typically spend the first project replacing a spreadsheet-and-email workflow that has become operationally unsustainable as the portfolio grew.
Real Estate Agencies & Brokerages
CRM systems, MLS-integrated listing portals, agent performance dashboards, and lead management pipelines designed for the volume and transaction complexity of active brokerages. We have built for both residential agencies focused on local market dominance and commercial brokerages managing complex multi-party deal structures.
PropTech Startups & Founders
MVP-to-scale product engineering for founders building new real estate technology products. We understand the architecture decisions that look cheap at MVP but become expensive at scale and we make the right calls early so you don't rebuild at 10,000 users.
Real Estate Developers & Project Teams
Project tracking portals, buyer communication platforms, digital marketing tools for new developments, and post-sale handover management systems. For developers managing multiple projects simultaneously, we build the operational visibility layer that keeps every project on schedule and every stakeholder informed.
Real Estate Investors & Portfolio Companies
Data analytics dashboards, AI-assisted deal evaluation tools, and portfolio management platforms that surface the right acquisition opportunities faster and track asset performance across a mixed portfolio.
Mortgage Lenders & Real Estate Finance Companies
Loan origination systems, borrower portals, document processing pipelines, and compliance-ready lending platforms for companies operating in the residential and commercial lending market built with audit trail and data retention requirements baked into the architecture.
Building Real Estate Software? Talk to a Team That Has Done It Before.
We will scope your project, identify the integration challenges early, and give you a clear architecture path no generic proposals, no discovery surprises three months in. Response within 24 hours.
What We Build Into Every Real Estate Platform
These are not a feature wish list; they are the capabilities that real estate operations actually require to run efficiently, stay compliant, and scale without accumulating the kind of technical debt that forces a full rebuild eighteen months after launch.
MLS / IDX Integration
Real-time MLS data ingestion via RESO Web API or IDX feed, with normalization, display compliance, and search built to MLS data licensing requirements. Updated on the MLS publish cadence not cached stale data.
AI-Powered Property Valuation (AVM)
Automated valuation models trained on comparable sales, market trends, location signals, and property attributes. Produces valuations in seconds with confidence intervals used in buyer tools, agent comparatives, and investment screening.
Lease and Rent Lifecycle Automation
Lease templates, digital signature integration, automated rent payment scheduling, expiry alerts, and renewal workflow removing the manual administration that consumes property management staff time.
Tenant Self-Service Portal
Web and mobile portal for rent payments, maintenance request submission, document access, and landlord communications reducing inbound support volume for management teams significantly.
Maintenance Request and Vendor Management
Structured maintenance workflow from tenant-reported issues through vendor assignment, job scheduling, completion sign-off, and cost capture with photo documentation and full audit trail.
Financial Reporting and NOI Dashboards
Property-level and portfolio-level financial reporting: P\&L, cash flow, operating expense tracking, NOI, and occupancy in real time, without manual reconciliation from multiple data sources.
Role-Based Access and Multi-Entity Support
Granular permission structures for property owners, managers, tenants, maintenance staff, and administrators with multi-entity support for portfolio companies managing multiple LLCs from a single platform.
Third-Party API Connectivity
Stripe and payment gateway integration, DocuSign e-signature, Twilio notifications, accounting platform sync (QuickBooks, Xero), and credit or background check services all connected cleanly from day one.
AI-Native Real Estate Software, Engineered Into Every Layer
Most real estate software treats AI as a chatbot you add to the homepage or a valuation widget you license from a third party. We treat it as a first-class architectural decision wired into the data model, the service boundaries, and the platform design from day one. Every layer below uses AI to predict, automate, and surface the signals your team would otherwise miss.
01
AVM accuracy built from your market data, not generic national models
We build custom automated valuation models trained on your local MLS transaction history, comparable sales patterns, property attribute data, and macro market signals producing property valuations with confidence intervals in under a second. Deployed in buyer-facing listing tools, agent CMA workflows, and investment screening pipelines.
Highlights:
- Comparable sales analysis
- Market trend integration
- Confidence interval scoring
- AVM API for third-party consumption
01
AVM accuracy built from your market data, not generic national models
We build custom automated valuation models trained on your local MLS transaction history, comparable sales patterns, property attribute data, and macro market signals producing property valuations with confidence intervals in under a second. Deployed in buyer-facing listing tools, agent CMA workflows, and investment screening pipelines.
Highlights:
- Comparable sales analysis
- Market trend integration
- Confidence interval scoring
- AVM API for third-party consumption
Our Real Estate Software Development Process
Most real estate software projects don't fail technically they fail because the discovery never mapped the actual data relationships, the MLS integration requirements were underestimated, or the compliance obligations were treated as an afterthought. Our real estate software development services follow a structured, AI-assisted delivery methodology designed to surface those problems early, when they're cheap to fix. Here's exactly how it works.
01
Discovery & Scoping
We map your property workflows, compliance requirements, MLS data dependencies, integration landscape, and user roles. Output is a detailed project scope covering architecture decisions, timeline, integration plan, and risk register produced before development begins.
02
Architecture & UI/UX Design
Technical architecture finalized with your specific data volumes, user roles, and compliance obligations in mind. UI/UX wireframes and high-fidelity mockups across core flows reviewed and approved before development starts.
03
Agile Development Sprints
Two-week sprints with working software delivered at the end of each cycle. MLS integration, payment processing, and compliance-critical modules addressed in early sprints are not left to the final sprint where there is no time to fix them.
04
Integration & QA
Dedicated QA on every module alongside integration testing MLS feed accuracy, payment processing, document signing, notification delivery, and cross-device compatibility. Data integrity testing runs throughout, not just at launch
05
Deployment & Go-Live
Staged rollout to production. Infrastructure provisioned and monitored. DNS migration, final pre-launch checks, data migration from legacy systems, and post-launch monitoring all included.
06
Ongoing Support & Platform Evolution
Post-launch monitoring, bug resolution, and feature development. Most real estate clients maintain a support and development retainer; the platform keeps evolving with the business rather than stalling six months post-launch.
Flexible Engagement Models to Hire Our Real Estate Software Development Company
Your real estate software project doesn't fit a template, and the engagement shouldn't either. The right model depends on your scope, your in-house team's capabilities, and how well-defined the requirements are on day one. Three models, all built for how real estate software is actually delivered.
You need engineers who know your systems, your data models, and your real estate workflows as well as your in-house team building for your roadmap, not splitting attention across five other clients. The Dedicated Team model gives you a fully embedded development unit accountable to your product outcomes.
- Right for you if
You're running a multi-quarter real estate platform build, scaling an existing PropTech product across multiple markets, or augmenting your in-house team with real estate software expertise without the cost and lead time of full-time hires.
- What you get
Hand-picked engineers, a QA specialist, and a technical lead all working exclusively on your real estate platform. Sprint planning, standups, and demos run on your calendar and your tooling. MLS integration, AI modules, and compliance architecture are all handled in-house with no third-party dependencies.
- Economics
Monthly retainer. No surprise invoices, no scope-creep billing. Team composition flexes as your real estate roadmap evolves.
Typical profile
3-10 engineers
6-month minimum
Scales with 30-day notice
Not sure which model fits your real estate software project?
Most companies start with one and evolve into another as their platform matures. Let's figure out the right starting point together.
Why Real Estate Businesses Choose Solvios
There are a lot of software development companies. Very few have actual depth in real estate, not just the technical skills but the domain knowledge that separates a team that gets it from a team that needs to be taught what MLS compliance looks like or why lease workflows are structured the way they are. Here is what makes the difference in practice.
01
We Know Real Estate Before We Know Your Project
MLS data licensing, RESO Web API compliance, IDX feed integration, lease lifecycle management, property management workflows, and mortgage document requirements our real estate software team has built in this category before. You don't spend the first four weeks educating the development team on how real estate actually works.
02
AI-Integrated Architecture from Day One
AI capability is not something we add to a real estate platform when a client asks for it post-launch. It is built into the data architecture, the service boundaries, and the API design from the first sprint. AVMs, predictive analytics, document intelligence, and smart search all depend on a data foundation designed to support them and we make those decisions early.
03
MLS and Third-Party Integration Experience
MLS integration is where real estate software projects routinely stall. Feed licensing, data normalization, display rules compliance, and RESO Web API versioning are not trivial, getting them wrong means inaccurate listing data, compliance risk, or suspended MLS access. We have done this before across multiple MLS markets.
04
No Handoff Gaps
Design, development, QA, cloud infrastructure, and post-launch support are all handled in-house at Solvios. One team, one point of accountability. What you brief at the start is that the entire team is building no agency-to-agency translation gaps where requirements get lost between handoffs.
05
Transparent Two-Week Sprints
You see working software every two weeks, not a monthly status update or a mid-project demo at week eight. Real estate platforms involve complex data relationships and integration dependencies that benefit from early visibility so if something needs to change, it changes in sprint three rather than after the entire system has been built around the wrong assumption.
06
US-Based Communication, Global Engineering Capacity
Project management and client communication run on US business hours and timezone alignment. The engineering team runs at a scale and cost structure that makes complex real estate software projects commercially viable without the quality tradeoffs that come with pure offshore models.
Frequently Asked Questions
Honest answers to the questions every property manager, brokerage owner, PropTech founder, and real estate CTO asks before choosing a real estate software development company. If something isn't covered here, our solution architects will walk you through it on a discovery call, no sales pitch, no fluff.
Cost depends on scope and complexity. A property management web application with core modules lease management, tenant portal, maintenance tracking, and financial reporting typically starts in the $30,000-$60,000 range. A full PropTech product with mobile apps, MLS integration, AI valuation tools, and payment processing ranges from $80,000 to $200,000+. A mortgage loan origination system with compliance architecture and document processing sits in a similar range. Solvios provides fixed-price proposals after a scoping session so you have an accurate number before committing to the build.
A standard property management platform with core features takes 3-5 months from discovery to launch. A full PropTech product with AI integrations, mobile apps, and MLS connectivity typically takes 6-10 months. A targeted real estate CRM or listing portal can be delivered in 8-12 weeks if requirements are well-defined at the start. The biggest variable is how clearly the requirements are defined in the discovery phase which is why we invest 2-3 weeks in scoping before the first line of code is written.
Off-the-shelf platforms like AppFolio, Buildium, or Yardi are built for the average real estate operation and most real estate businesses are not average. Custom real estate software development means the system is built around your specific lease structures, ownership entities, compliance requirements, MLS data relationships, and user workflows. You get exactly the features you need, none of the ones you don't, and you own the platform rather than paying licensing fees indefinitely. The trade-off is upfront development time and cost which is why we recommend the right approach honestly during the discovery call rather than pushing every client toward custom development.
Most real estate platforms connect to MLS data via RESO Web API or IDX feeds, payment processors (Stripe or Braintree), e-signature platforms (DocuSign), accounting software (QuickBooks or Xero), SMS and email notification services (Twilio), and mapping services (Google Maps or Mapbox). AI-enabled real estate platforms also integrate with IoT sensor platforms for predictive maintenance and market data APIs. The integration list is finalized during the discovery phase based on your specific workflows.
AI-enabled real estate software development means building systems where machine learning and AI capabilities are integrated into the core product not added as a feature layer on top of an existing system. In real estate this includes automated valuation models (AVMs) that produce property valuations from comparable sales and market data, predictive maintenance models that flag high-risk properties before failures occur, AI lead scoring that ranks buyers and renters by conversion probability, document intelligence pipelines that extract and classify lease and mortgage document data, and natural language property search. The AI components require a data architecture designed to support them from the start which is why we address this in the discovery phase.
Yes. MLS integration via RESO Web API and IDX feeds is one of our core technical competencies for real estate software development. We handle the MLS data licensing and compliance requirements, build the feed ingestion and normalization pipeline, implement the display rules compliance required by the MLS, and maintain the integration as the MLS updates its data standards. This is the part of real estate software development where many generalist development shops run into problems data licensing compliance and RESO Web API versioning require specific experience that we have built across multiple engagements.
Yes. The approach depends on your current tech stack, data model, and API surface area. In some cases AI modules can be integrated cleanly through new service layers without touching the core application. In others, targeted refactoring of one or two service layers is needed to expose the data in a format that AI workloads can consume. We assess this during a technical discovery engagement and tell you which approach applies before any development starts.
Three models: Dedicated Real Estate Development Team (for long-term, evolving platform builds and PropTech products), Time & Material (for iterative development, evolving scope, or platforms still in active discovery), and Fixed Cost (for well-scoped, budget-defined real estate software projects). When you hire our real estate software development team, we recommend honestly based on your situation not based on which model is most profitable for us.
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