Real Estate Technology
That Closes More Deals
Hire PropTech Development Company · Real Estate CRM · Virtual Tours · AI Valuation
We build property portals, agent CRMs, virtual tour platforms, and AI valuation tools that modernise the buying, selling, and renting experience for agents, developers, and PropTech founders.
74%
Buyers Prefer Virtual Tours
3×
Faster Lead Response
40+
PropTech Products Built
98%
Client Satisfaction
Real Estate Runs on Relationships & Speed.
The agents, developers, and PropTech founders winning today are the ones with software that moves as fast as the market does. Here's what slows most teams down.
Property Management Complexity
Managing hundreds of listings across multiple platforms, tracking lease renewals, handling maintenance requests, and reconciling payments — manually — breaks every growing portfolio.
Lead Management
Real estate moves fast. Without automated lead routing, follow-up sequences, and a CRM built for agents, warm leads go cold in hours.
Virtual Tours & Showcasing
74% of buyers say they are more likely to purchase a property they first toured virtually. Static photos are no longer enough to compete.
Transaction Processing
Offers, counter-offers, digital signatures, escrow coordination, and compliance documentation — each touchpoint is a bottleneck without the right software.
Real Estate Solutions We Deliver
Property Listing Platforms
MLS-integrated listing portals with advanced search, map-based browsing, saved searches, and lead capture — built for agents, developers, and portals alike.
CRM for Real Estate Agents
Purpose-built CRM with pipeline management, automated follow-up sequences, commission tracking, and deep MLS/portal integrations for residential and commercial teams.
Virtual Tour Apps
360-degree virtual tours, 3D walkthroughs, and interactive floor plans — delivered via web and mobile so buyers explore properties on any device.
Rental Management Platforms
Tenant onboarding, online rent collection, maintenance request ticketing, lease management, and landlord dashboards — one platform for the full rental lifecycle.
Mortgage Calculators
Interactive, embeddable mortgage calculators with live rate feeds, amortisation schedules, and lead capture built-in — convert visitors to enquiries.
AI Property Valuation
Automated valuation models (AVMs) using comparable sales, market trends, and property characteristics — give buyers, sellers, and agents instant, data-backed estimates.
Listing Data Is a Licensed Privilege.
The single biggest surprise for first-time portal founders: you cannot just "pull the listings." Here is the actual path from zero to live MLS data.
01
Get access rights
MLS data is not public. You need MLS membership or broker sponsorship, a signed data license agreement, and approval as a technology vendor. Every MLS — and there are 500+ in the US — has its own rules, fees, and approval queue.
02
Choose your feed strategy
Direct RESO Web API feeds from each MLS give you control but multiply the integration work. Aggregators — Bridge Interactive, Trestle, MLS Grid, Spark — normalize multiple MLSs behind one API for a fee. Most portals start aggregated and go direct only where it pays.
03
Build for the rules, not just the data
IDX display rules are enforced: broker attribution on every listing, data refreshed on the cadence each MLS mandates, and sold-data display restricted in many markets. Compliance violations get your feed shut off — which takes your portal down with it.
Engineering realities we plan for
- RESO Web API has replaced the legacy RETS standard — new integrations should not start on RETS in 2026.
- Sync incrementally and honor soft deletes: listings vanish from feeds when they expire or the seller withdraws, and your database must reflect that within the mandated window.
- Cache photos within the license terms — hotlinking MLS media is both fragile and usually prohibited.
- Field mapping is per-MLS work: the same concept ships as different field names and enumerations across markets, even under RESO standardization.
How AVMs Actually Work — And Where They Fail.
Four ways to estimate a property's value, from appraiser-style logic to gradient boosting — fed by MLS solds, assessor records, and geospatial features. The right answer is usually a combination.
Rules-based comps engine
Select comparable sales by distance, recency, and property similarity, then adjust for differences the way an appraiser would. Every estimate can be explained line by line — which is exactly why agents trust it and why it caps out on accuracy.
Hedonic regression
Model price as a function of attributes — beds, baths, square footage, location, age. Coefficients tell you what the market pays for each feature. A solid baseline that markets with clean data support well, but it misses non-linear effects.
Gradient boosting (XGBoost / LightGBM)
The approach behind most modern AVMs. In liquid suburban markets, median absolute percentage errors of roughly 2–7% are achievable. Accuracy degrades sharply for rural, luxury, and unusual properties — anyone quoting one accuracy number for all markets is hiding the tails.
Hybrid with confidence scoring
Ensemble the ML estimate with the comps engine, attach a confidence score, and show ranges instead of false-precision point estimates. Critically: refuse to estimate when data is thin. A wrong number with an authoritative font is worse than no number.
We've Built the Full Real Estate Stack.
From Zillow-style listing portals with map-based search to AI-powered valuation models and blockchain-recorded property transactions — our team has deep PropTech domain experience across residential, commercial, and rental markets globally.
Technology We Work With
Selected for map performance, 3D rendering capability, and secure transaction handling.
What PropTech Founders Ask Before Building.
How long does MLS data access actually take?
Plan for 4–12 weeks before the first listing renders, and treat that as a project workstream, not paperwork. The sequence — membership or broker sponsorship, data license agreement, vendor approval, then feed credentials — runs at the MLS’s pace, and each MLS has its own. Going through an aggregator like Trestle or MLS Grid compresses the technical setup but not the legal approvals. We start the access process on day one, in parallel with the build.
Can our valuation tool be as accurate as Zillow’s Zestimate?
In your specific market, plausibly yes — nationally, no, and you should not need it to be. Zillow’s advantage is a decade of national data infrastructure, but a focused AVM trained on your metro’s MLS solds, assessor records, and local features can match or beat national models on home turf. The honest engineering answer is to publish ranges with confidence scores and decline thin markets rather than chase a headline accuracy number.
Who is responsible for IDX compliance — you or us?
Legally, compliance obligations sit with the broker of record whose license sponsors the feed. Practically, compliance is enforced in code, so we build it in: attribution rendering, refresh cadence, sold-data display rules, and required disclaimers all live in the platform. We deliver a compliance checklist mapped to your MLS’s specific IDX policy at handover, so your broker can verify rather than guess.
Can one portal cover listings across multiple MLSs?
Yes — every national and regional portal does it — but it is an architecture decision, not a checkbox. Each MLS arrives with its own license terms, field mappings, and display rules, so the platform needs a per-source ingestion layer that normalizes into one canonical schema while tracking which rules apply to which listing. Aggregators reduce this work substantially; budget-wise, each additional direct MLS feed behaves like a mini-integration project.
Launch the Portal Buyers
Keep Coming Back To
Portal, agent CRM, or valuation product — the MLS access process should start the same week as the design work. Tell us your market and we'll map the data licensing path alongside the build plan.