For listings, property management, valuation, and transactions.
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 money, real records, 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. Fixed scope, one accountable lead, production in 4–8 weeks.
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.
Real estate software isn’t one product; it’s a set of systems that each earn their keep in a specific, high-volume part of the business. For each, what it does, the benefit it produces, and how that plays out:
Aggregate, normalize, and search inventory — for sale or for rent — with map, media, and lead-capture flows, wired to MLS, syndication, or proprietary feeds. Benefit — more inventory discovered, more leads captured, less manual data wrangling. Buyers and renters find the right property faster, and stale or duplicate listings stop eroding trust.
For example, a renter searching at midnight filters thousands of units to the three that fit their budget and commute and books a viewing on the spot — a lead a next-day callback would often have lost.
Runs the operational core — rent collection, lease tracking, maintenance requests, owner and tenant portals, accounting — across a portfolio. Benefit — lower operating cost and reclaimed staff hours on routine work. Rent posts and reconciles automatically, maintenance routes itself, and the team stops re-keying the same data into three systems.
For example, a tenant submits a leaking-faucet request through the portal and it routes straight to an available vendor with the unit history attached — resolving in hours what a phone-tag loop would have stretched across days.
Estimate property value and risk from comparables, market signals, income, and condition data — with the data lineage and audit trail a lender or asset manager can stand behind. Benefit — faster, more consistent valuations at portfolio scale, with human judgment kept in the loop. Analysts triage thousands of assets in the time it took to value dozens, and outliers get flagged for review instead of slipping through.
For example, an asset manager screens a 500-property portfolio against internal risk metrics overnight and spends the morning on the twelve that failed, not on re-keying spreadsheets.
Digitizes the deal — offers, applications, document collection, e-signature, escrow coordination, and closing — with compliance and a record of who did what, when. Benefit — shorter cycle times and fewer deals lost to paperwork friction. Steps that waited on email and PDFs run in parallel, and nothing falls through a crack between parties.
For example, a lease application moves from submitted to signed inside the platform — document checks, approvals, and signature in one tracked flow — instead of a week of back-and-forth attachments.
Give the people on the other side of the transaction self-service — payments, documents, requests, statements — in one place. Benefit — higher satisfaction and retention, lower inbound call volume.
For example, an owner checks this month’s distribution and maintenance spend at the moment they wonder about it, instead of emailing the manager and waiting a day.
The scope below is the difference between a real estate platform that ships and a demo that never survives contact with real data and real money.
We build the core application — listings, property management, valuation, or transaction software — full stack and in your own cloud tenant, designed for the data volumes and concurrency a real portfolio or marketplace generates.
We connect to the sources real estate runs on — MLS and syndication feeds, public property records, payment and banking rails, document and e-signature providers — and do the unglamorous work of normalizing feeds that disagree, so search, accounting, and valuations rest on data you can trust.
Where the use case calls for it, we build valuation, AVM, lead-scoring, or recommendation models on your data — with the data lineage, evaluation, and human-in-the-loop review that a lender, auditor, or asset manager will require. We benchmark which approach actually performs on your portfolio before committing to it, drawing on our LLM and AI development work.
We engineer the money path — rent collection, deposits, application fees, marketplace payouts, escrow coordination — with the reconciliation discipline that financial flows demand. It’s the same transaction-infrastructure engineering we apply in fintech.
Tenant, owner, lender, and staff data sits behind scoped, permissioned access; every engagement starts with an NDA and a security review; and we document data paths so your security team and your counterparties verify rather than trust.
We ship behind a staged rollout, instrument the system for errors and cost, and train your team to operate, maintain, and extend it.
What you get when you hire us — all assigned to you under full work-for-hire IP transfer
The same delivery model behind all our software and AI development, tuned for real estate — one accountable lead, fixed scope, no handoffs.
Scope the platform, the data sources it must integrate, and the compliance and security constraints.
Output: a ranked build plan & the success metrics
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
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
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
Most engagements reach production in 4–8 weeks, with payment tied to ROI and full work-for-hire IP assignment signed at kickoff.
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.
The closest fit — a marketplace and transaction platform (heavy equipment, not property). We built YardClub end to end — a contractor-to-contractor marketplace for construction equipment, with listings, payments, and transaction infrastructure. It processed $120M+ in transactions 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.
The production discipline. A real estate system that handles rent, valuations, or closings can’t go down. The process that holds a 200+ location restaurant business at twice-a-week releases with zero critical defects across four years — evals before launch, staged rollout, monitoring after — is the same discipline we bring to software that touches money on the first of the month (BJ’s Restaurants).
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.
Transaction-grade engineering. We’ve built a marketplace that moved $120M+ and the reconciliation discipline that 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.
Real estate software rarely stands alone — it leans on the same engineering we bring to neighboring sectors:
The rent, deposit, escrow, and marketplace-payout flows in real estate software are financial infrastructure, built with the same fraud-aware, reconciliation-first discipline. Fintech software →
AVMs, lead scoring, and document automation are AI problems; we build them with evaluation and human review designed in. LLM & AI development →
Leasing, tenant-support, and buyer-qualification assistants grounded in your listings and policy data. Conversational AI →
What teams want to know before they commission real estate software.
Not a named one we can point to — and we won’t pretend otherwise. The closest proof in our portfolio is YardClub, a heavy-equipment marketplace we built end to end (listings, payments, transaction infrastructure; $120M+ processed; acquired by Caterpillar in 2017) — the same engineering a real estate marketplace or transaction platform needs, in an adjacent industry. Pair that with a four-year track record of zero-critical-defect production delivery on mission-critical software, and you get an honest picture: deep transaction and reliability engineering, applied to your domain. We’d rather tell you that than invent a property case.
Yes — those are the core systems this practice builds: listings and marketplace platforms, property-management systems, valuation/AVM models, and lease and transaction software. We scope the specific build first, validate the hard parts (data integration, model accuracy, the money path) on your real data, and decline the features that won’t earn their keep.
Integration and normalization are core scope. We connect to MLS and syndication feeds, public property records, payment and banking rails, and document/e-signature providers, and do the work of reconciling sources that disagree so search, accounting, and valuations rest on data you can trust. Every data path is documented for your team to verify.
Data sits behind scoped, permissioned access controls; the system runs in your own cloud tenant; and every engagement begins with an NDA and a security review. Financial flows are built with reconciliation and audit trails from the start. We document the architecture so your security team and your counterparties — lenders, auditors — verify rather than take it on faith. Compliance requirements vary by jurisdiction and product, so we scope the specific obligations during Discover.
That’s the part we’re known for. The same production discipline that holds a 200+ location business at twice-a-week releases with zero critical defects across four years — evaluation before launch, staged rollout, monitoring after — is the discipline we bring to software that can’t afford an outage when rent posts or a closing is mid-flight. Reliability is engineered in, not patched on after launch.
You do — completely. Code, integrations, and any models transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend the system. Keep us on a reduced retainer or take the keys; the engagement is built around the handover, not around locking you in.
Most builds reach production in 4–8 weeks under a fixed-scope engagement with one accountable lead and payment tied to ROI. Cost depends on scope — our AI development cost guide gives real ranges — and for AI or AVM work we model the run-cost economics before building, so the first invoice is a forecast you’ve already seen.
Thirty minutes · No pitch deck
Bring the platform you have in mind — a marketplace, a property-management system, an AVM, a transaction flow — and we’ll tell you honestly what it takes to build, where the hard engineering really is, and what it costs to run.