Industry · Real Estate

Real estate software, built for real money and real volume.

We design and build the software that runs modern real estate businesses — listing platforms, property-management systems, AVM models, and transaction software — engineered for real records, real money, and real volume.

Built inside your own cloud, integrated with the data sources your business depends on, with every line of code and model assigned to you.

The problem

Why real estate software is so hard to get right.

Because the work sits on top of messy data, regulated money, and transactions people don't make twice a year by accident. A listings platform has to reconcile feeds that disagree with each other; a property-management system has to move rent, deposits, and maintenance across hundreds of units without dropping a cent.

A valuation model is only as trustworthy as the comparables and the audit trail behind it; and a lease or closing workflow touches contracts, signatures, escrow, and compliance that vary by jurisdiction.

Most real estate software stalls not on the idea but on the engineering underneath it — the integrations to property records and payment rails, the data quality, the security review a serious buyer or lender will demand, and the reliability to run it in production without a defect taking down rent collection on the first of the month.

projected global PropTech market by 2034 — up from $40.19B in 2025, an 11.9% CAGR.

The question is whether the platform you build can carry that weight.

Fortune Business Insights ↗

Listing & marketplace platforms

Aggregate, normalize, and search inventory — for sale or rent — with maps, media, and lead capture, wired to MLS and syndication feeds.

Benefit — more inventory found, more leads captured, less manual wrangling.

Example: a renter filters thousands of units to the three that fit, and books a viewing on the spot.

Property management software

Runs the operational core — rent, leases, maintenance, owner and tenant portals, accounting — across a portfolio.

Benefit — lower operating cost and reclaimed staff hours.

Example: a tenant's repair request routes straight to a vendor with the unit history attached — resolved in hours, not days.

Valuation & AVM models

Estimate value and risk from comparables, market signals, income, and condition — with the lineage and audit trail a lender can stand behind.

Benefit — faster, consistent valuations at scale, human judgment in the loop.

Example: an asset manager screens 500 properties overnight and spends the morning on the twelve that failed.

Transaction & lease software

Digitizes the deal — offers, applications, documents, e-signature, escrow, and closing — with compliance and a full audit record.

Benefit — shorter cycles, fewer deals lost to paperwork.

Example: a lease goes from submitted to signed in one tracked flow — not a week of attachments.

Tenant, owner & resident portals

Self-service for everyone on the other side — payments, documents, requests, statements — in one place.

Benefit — higher retention, lower inbound call volume.

Example: an owner checks this month's distribution and spend the moment they wonder, instead of emailing and waiting.

Value at stake

McKinsey estimates generative AI could bring this much efficiency value to real estate, with potential to lift net operating income by roughly 10% for individual players.

McKinsey, real estate ↗

Workflow-level gains

When AI is coordinated across an entire workflow — first call through a signed lease — McKinsey reports improvements like these in NOI, operating costs, and cycle times.

McKinsey, 2025 ↗

Adoption is underway

In commercial real estate, this share of organizations are piloting, in early implementation, or already using AI-powered solutions — so the software underneath has to actually reach production.

McKinsey ↗

Zero critical defects, sustained across four years of mission-critical releases.

A system that handles rent, valuations, or closings can't go down. Evals before launch, staged rollout, monitoring after — the same discipline that holds a 200+ location business at twice-a-week releases is what we bring to software that touches money on the first of the month.

Platform & product engineering

The core application — listings, management, valuation, or transactions — full stack in your own cloud tenant, built for the data volumes and concurrency a real portfolio generates.

Data integration & ingestion

Connect to MLS and syndication feeds, public property records, payment rails, document and e-signature providers — and do the unglamorous work of normalizing feeds that disagree.

Valuation & AI models

Where the use case calls for it — valuation, AVM, lead-scoring, or recommendation models on your data, with the lineage, evaluation, and human-in-the-loop review a lender or auditor requires.

Payments & transaction infrastructure

The money path — rent collection, deposits, application fees, marketplace payouts, escrow coordination — with the reconciliation discipline financial flows demand.

Security, compliance & access control

Tenant, owner, lender, and staff data behind scoped, permissioned access; every engagement starts with an NDA and a security review; data paths documented so counterparties verify rather than trust.

Deployment, monitoring & enablement

Ship behind a staged rollout, instrument the system for errors and cost, and train your team to operate, maintain, and extend it.

Discover

Scope the platform, the data sources it must integrate, and the compliance and security constraints.

Output: a ranked build plan & the success metrics

Design

Architect the data model, integrations, and (where relevant) the valuation or AI approach, validating on your real data before committing.

Output: an architecture & a tested model approach

Build

Develop in your own cloud tenant, with security review, access controls, and reconciliation built in from the start, not bolted on.

Output: a working system behind your controls

Deploy & enable

Staged rollout, then production, monitored for errors and cost, with your team trained to run it.

Output: a live platform & a team that owns it

We'll be straight about this: real estate is an industry we build for, and the closest proof in our own portfolio comes from an adjacent industry, not from a property company. We don't have a named real-estate client to point to — so here is the honest, relevant record instead.

Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement. We'll tell you plainly when a feature isn't worth building, which a vendor billing by the hour won't.

The closest fit — a marketplace and transaction platform. We built YardClub end to end: a contractor-to-contractor marketplace for construction equipment, with listings, payments, and transaction infrastructure. It processed $120M+ and was acquired by Caterpillar in 2017.

It's not real estate, but it is the same engineering a listings/marketplace and transaction platform demands: reconciling supply, moving real money, and scaling a two-sided marketplace to acquisition. We flag the industry difference plainly rather than dress it up as a property case.

Transaction-grade engineering. We've built a marketplace that moved $120M+ and the reconciliation discipline real money demands — directly relevant to listings, payments, and lease/closing software.

Production reliability is the habit, not the hope. Zero critical defects sustained across four years on mission-critical software is the standard we work to — the bar a system running rent or valuations has to clear.

Founder-led, one accountable lead. No account managers, no handoffs — the person who scopes your platform answers for it.

Built to transfer. Code, integrations, and any models are assigned to you under full IP transfer, and your team is trained to run and extend the system when we step back.