Listing Portal & Marketplace
Multi-region property search with map-based browsing, faceted filtering, saved searches, alerts, virtual tours, and RESO Web API or IDX-feed integration. Multi-tenant if you operate multiple brands or regions.
Industries · Real Estate
From listing portals and brokerage CRM to tenant-landlord platforms and AI property search — IrenicTech builds custom real estate software designed for leads, listings, agents, tenants, and operational scale. One senior in-house team from first spec to production launch.










The gap
The five-SaaS stack worked when the team was three agents. At thirty agents and four offices it leaks leads, drains agent time, and the integrations break every quarter. These are the gaps we hear from brokerages and PropTech founders in every discovery call.
Agents copy listing details between the website, the CRM, and the listing-data feed. Inevitably one is wrong, and the wrong one is the one the buyer sees.
Salesforce and HubSpot fit a B2B pipeline, not a property-and-agent operation. Workarounds compound until reporting needs a full-time analyst.
Portal enquiries land in five different inboxes. By the time an agent follows up, the buyer has already toured a competitor's listing.
Rent collection, maintenance requests, lease renewals, and inspection scheduling live in different threads. Late payments and lost tickets are the default state.
Twenty to forty percent of an agent's week disappears into contract paperwork, calendar coordination, and updating the same record across three systems.
Feed schemas change, payment gateways update API versions, e-signing tools rotate webhooks — and your team is the on-call team for all of it.
Looking for a specific capability? See all services we offer.
Custom vs off-the-shelf
Generic CRMs (Salesforce, HubSpot) plus IDX-website builders plus separate property-management SaaS gets you to launch fast — and to a renewal-tax + integration-debt wall by year two. Here is what a custom platform changes.
Generic CRM + IDX website + PM SaaS
IrenicTech custom
Domain fit
Generic sales pipeline bent to fit real estate — leads, deals, and listings forced into objects designed for B2B software
Listings, leads, leases, properties, and agents as first-class concepts in the data model from sprint one
Listings integration
IDX widget on a separate template site; CRM and listings never share state cleanly
Native RESO Web API / RETS / IDX integration tied directly to the CRM, marketing, and operations data
Lead routing
Round-robin only, or a premium plugin with a per-lead fee
AI-scored, territory + skill + workload-aware routing in the core build, no add-on fees
Mobile experience
Mobile-app-as-afterthought — a responsive web view of the desktop CRM
Native iOS and Android apps designed for agents who spend the day in the field, with offline-first sync
Lock-in
Vendor-owned schema; data export limited; switching costs compound with every contact and listing
You own the repo, the database, and every third-party integration — exit cost is zero
Cost over 3 years
Per-seat + per-feature + per-portal fees stacking with growth — recurring cost compresses margin permanently
One-time build + fixed SLA — your bill stays predictable as the team scales
What we build
Eight product categories covered by one senior team — from public-facing listing portals to agent CRMs to tenant-landlord platforms. Every build is a custom real estate engagement, not a configured template.

Multi-region property search with map-based browsing, faceted filtering, saved searches, alerts, virtual tours, and RESO Web API or IDX-feed integration. Multi-tenant if you operate multiple brands or regions.
Lead pipelines, automatic agent assignment, drip sequences, deal stages, commission tracking, and reporting — built around how brokerages actually work, not generic B2B sales.
Lease lifecycle, work orders, inspections, rent collection, owner statements, and accounting in one system — multi-property, multi-portfolio, role-based for owners, managers, and agents.
Self-serve web + mobile portals for rent payments, maintenance requests, document signing, lease renewals, and announcements — so the inbox stops being your operations console.
On-the-go listing access, lead routing, calendar sync, document capture, showing notes, and offer-tracking — designed for agents who spend the day in the field, not the office.
AI-scored lead distribution, territory + workload-aware routing, multi-channel drip campaigns (SMS, email, WhatsApp), and reactivation flows for stalled leads.
Natural-language listing search ('a quiet 2-bed near a metro station with a balcony'), AI-driven match scoring, and personalised property recommendations grounded in your listings and your customer behaviour.
Reliable RESO Web API / RETS / IDX integration, broker-friendly listing sync, third-party data enrichment, payment and e-sign integrations — so the integration layer stops being a quarterly fire drill.
Multi-region property search with map-based browsing, faceted filtering, saved searches, alerts, virtual tours, and RESO Web API or IDX-feed integration. Multi-tenant if you operate multiple brands or regions.
Lead pipelines, automatic agent assignment, drip sequences, deal stages, commission tracking, and reporting — built around how brokerages actually work, not generic B2B sales.
Lease lifecycle, work orders, inspections, rent collection, owner statements, and accounting in one system — multi-property, multi-portfolio, role-based for owners, managers, and agents.
Self-serve web + mobile portals for rent payments, maintenance requests, document signing, lease renewals, and announcements — so the inbox stops being your operations console.
On-the-go listing access, lead routing, calendar sync, document capture, showing notes, and offer-tracking — designed for agents who spend the day in the field, not the office.
AI-scored lead distribution, territory + workload-aware routing, multi-channel drip campaigns (SMS, email, WhatsApp), and reactivation flows for stalled leads.
Natural-language listing search ('a quiet 2-bed near a metro station with a balcony'), AI-driven match scoring, and personalised property recommendations grounded in your listings and your customer behaviour.
Reliable RESO Web API / RETS / IDX integration, broker-friendly listing sync, third-party data enrichment, payment and e-sign integrations — so the integration layer stops being a quarterly fire drill.

Features that ship
Buyers and renters, agents and brokers, owners and property managers all have different jobs. Each surface is designed for the person actually using it — not a shared dashboard pretending to serve everyone.
For buyers & renters
For agents & brokers
For owners & property managers
Case study
A multi-region brokerage (anonymised) · Full-stack platform — web, mobile, CRM, lead automation, AI, and infrastructure
Problem
A regional brokerage operating 18 offices across two metro areas ran on a stitched-together stack: agents kept leads in a spreadsheet, the listings site was outsourced to an IDX template, rent collection ran through three different gateways, and tenant maintenance requests came in by phone, email, and SMS. The result: 25–35% of lead enquiries never reached an agent in time, agents spent ~30% of their week on admin, and the operations team rebuilt the same reports in Excel every Monday.
Approach
IrenicTech designed and shipped the platform end-to-end — one operating system on web and mobile with six tightly-integrated modules (Listing Portal, Brokerage CRM, Lead Automation, Tenant Portal, Property Management, Reporting Hub) plus a full AI suite: AI lead scoring, semantic property search, RAG-backed inquiry assistant, automated showing scheduling, and document-AI for leases and offers. Multi-region multi-brand support is built into the core, so each office runs on its brand with shared data underneath.
Outcome
The platform cut lead-to-agent latency from hours to seconds, reduced agent admin time by ~35%, and unified rent collection on a single payment rail. The brokerage is now scaling to a third metro on the same codebase — without a rewrite — and the team owns the repo, the database, and every integration outright.

AI-native
Every real estate product we ship gets the same AI lens, designed into the architecture from day one. These are the use cases we have shipped in production real estate environments.
01 · Use case
Natural-language search ('quiet 2-bed with a balcony under USD 800') backed by embeddings on listings, neighbourhood data, and historical user behaviour — match scores that beat keyword filters.
02 · Use case
Behavioural and demographic signals fed into a model that ranks new leads by close probability — so agents call the right ones first, not the loudest ones.
03 · Use case
AI-generated room staging from empty-room photos, automated 360° tour creation, and floor-plan extraction — listings ship in hours, not weeks.
04 · Use case
OCR plus LLM extraction on leases, purchase agreements, and inspection reports — structured data lands directly in your system, no manual re-keying.
05 · Use case
Comparable-sales analysis, time-on-market predictions, and dynamic pricing recommendations grounded in your data plus public market signals — explainable to the seller, not a black box.
06 · Use case
RAG-backed assistant that answers 'is it pet-friendly?' / 'what's parking like?' from listing data and your knowledge base — deflecting tier-1 messages 24/7 without hallucinations.
These capabilities are available across all industries we build for. Explore our AI automation practice.
Security & compliance
GDPR, CCPA, Fair Housing, RESO standards, PCI DSS for payments, SOC 2 controls — built into the architecture, not added before an audit. Every release ships with the evidence trail already assembled.
GDPR
EU personal data handling for buyer, tenant, and agent records — lawful-basis tracking, data residency controls, right-to-erasure workflows, and privacy-by-design architecture.
CCPA
California Consumer Privacy Act compliance: data inventory, opt-out flows, deletion rights, and disclosure obligations built into the data model for U.S. customer and tenant records.
Fair Housing Act
U.S. Fair Housing-aware lead routing, listing copy review, and audit logging — so AI-assisted recommendations and routing do not introduce protected-class bias.
RESO Standards
RESO Web API, RETS, and IDX-compliant integration with MLS feeds — listing data exchanged on the open industry standard, not vendor-locked formats.
KYC / AML
Identity verification, sanctions screening, and source-of-funds checks for transactions involving deposits, purchases, or escrow — with audit-ready evidence trails.
PCI DSS
Card-data security across rent collection, deposits, and platform fees — tokenised processing, no raw card data in your environment, scope minimised by design.
SOC 2 Type II
Security, availability, processing integrity, confidentiality, and privacy controls with a full evidence trail — built into the platform from day one for enterprise procurement.
ISO 27001
Information security management system — risk assessments, controls, and continuous improvement aligned to the international standard.
BAA / DPA available on request — we carry our own agreements and sign yours.
How we work
Brokerage owners and PropTech founders want to know what month one looks like before committing. Here is the exact sequence from discovery sprint through production launch and steady-state SLA.
01
Map agent, buyer, and landlord journeys, audit the current stack, scope listing-data feeds, and identify the highest-friction handoffs. Delivers a written architecture RFC and a fixed-scope estimate.
02
Multi-tenant schema, MLS / RESO / IDX integration plan, payment + e-sign architecture, auth strategy, and observability stack — all designed before a line of product code is written.
03
Listing portal, CRM, tenant portal, and admin dashboards shipped in tight 2-week sprints. Payment, e-sign, and MLS integrations land alongside core flows, not after.
04
Private beta with pilot agents and pilot properties, structured feedback collection, daily usage review, and rapid iteration — inside the same engineering team.
05
Performance audit, security penetration test, MLS feed stability checks, mobile app store launch, and feature expansion based on real-world signal.
06
Dedicated engineering team, 24/7 monitoring, incident response, and quarterly roadmap reviews — so the team that built it stays accountable for it.
Engagement models
Pick the shape that matches what you are scoping. Discovery sprints validate ideas. Dedicated teams ship roadmaps. Code-audit-and-takeover rescues platforms that outgrew their first build.
2–4 week fixed-scope sprint that delivers a working prototype, architecture RFC, and written estimate for the full build. Best for new real estate ideas that need a real artefact before committing budget.
Start this engagementA senior in-house pod (PM, designers, full-stack, AI, QA, DevOps) embedded with your team. Best for ongoing scope, multi-quarter roadmaps, or taking over from a stack that outgrew its first build.
Start this engagementInherit an existing real estate codebase, stabilise the highest-risk areas in the first sprint, then extend on a foundation you trust. Best for rescues, second-version rebuilds, and post-acquisition consolidation.
Start this engagementWhy IrenicTech
A senior in-house team that ships real-estate-native by default, integrates AI from day one, and hands you the code on the first day.
Listings, leads, leases, agents, and properties as first-class concepts from sprint one — not generic CRM objects with custom fields bolted on.
Capture, routing, scoring, and re-engagement treated as core features — your leads stop landing in five different inboxes from day one.
No offshore intermediaries. The people scoping the work are the people shipping it — one team, one cadence, one codebase.
Every real estate product gets the same AI lens — property search, lead scoring, document AI, RAG-backed assistants — designed in from day one.
Repo, database, infrastructure, and every MLS / payment / e-sign integration live in your name from day one. No vendor lock-in, no licence fees, no exit cost.
Steady-state engineering and on-call from the team that built it, so accountability doesn't end at handover.
FAQ
A generic CRM forces real estate into a B2B sales pipeline shape — leads are 'opportunities', listings are 'products', and reporting needs a full-time analyst. Custom software treats listings, leases, agents, and properties as first-class objects in the data model. Workflows, routing, and reporting flow naturally from how the brokerage actually operates instead of working around the CRM's assumptions.
A focused MVP — listing portal, CRM, lead routing, and a basic admin panel — typically takes 12–16 weeks from a locked spec. The discovery sprint (2–4 weeks before that) is where we harden the spec and the data model. A full multi-region, multi-module platform with mobile apps, payment processing, and AI features runs 20–28 weeks.
A lean MVP starts around $70–90k. A full-featured multi-tenant real estate platform with CRM, listings, tenant portal, mobile apps, and AI runs $150–250k and up, depending on scope. We scope everything transparently in the discovery sprint before any build commitment.
Yes. We work with RESO Web API, RETS, IDX, and direct broker feeds, plus third-party enrichment (CoreLogic, Zillow, public-records APIs, mapping providers). We treat the integration layer as production infrastructure with monitoring and retry logic — not a one-time wire-up that breaks every time a vendor changes their schema.
Yes — multi-tenant white-label is a core capability. Each brand or region runs on its own branding, domain, and configuration while sharing the underlying platform, data model, and reporting. Adding a new region typically takes hours, not weeks.
Yes. We ship native iOS and Android apps (React Native or Flutter) for agents in the field, tenants on the move, and buyers browsing on the train. Mobile is designed alongside the web build, not bolted on after.
We offer a post-launch SLA that keeps the team who built the platform accountable for it. That includes 24/7 monitoring, incident response, MLS feed stability, performance optimisation, and quarterly roadmap sessions. You can also hand off to your in-house team — we document everything and run a structured knowledge transfer before we step back.
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