Built for the jobsite, the fleet, and the project ledger.
We build the software construction runs on: project and bid management, equipment and fleet systems, field-data capture, document and cost control, and the marketplaces that move materials and machines.
It is the same end-to-end build behind YardClub — the contractor-to-contractor equipment marketplace we shipped to $120M+ in transactions and a Caterpillar acquisition. Fixed scope, one accountable lead, production in 4–8 weeks.
Because the work happens in the field and the systems live in the office, and the gap between them is where the money leaks. A foreman logs the day on paper or in a photo roll, the change order lives in someone’s email, the equipment hours are guessed at month-end, and the PM finds out a job is over budget or behind schedule weeks after it went sideways.
The tools that promise to fix this are usually generic SaaS that doesn’t fit how your crews, yards, and contracts actually work. The cost of that disconnect is documented and large.
The fix is not another off-the-shelf platform your teams won’t adopt — it’s software built around your real workflow, that captures field reality, connects it to the office, and surfaces the cost or schedule problem while there’s still time to act. That is what construction software development, done properly, delivers.
This isn’t one product. It’s a set of high-leverage systems that fit the way your operation already works. For each: what it does, the benefit it produces, and a one-line illustration of how that plays out.
Estimating, bid tracking, scheduling, RFIs, submittals, and change orders in one connected system — so a job’s commercial and field status live in the same place instead of across email, spreadsheets, and someone’s memory. Benefit — fewer surprises, tighter margins, and faster, more accurate bids.
Example: a change order raised in the field updates the project’s cost and schedule the same day, so the PM sees the margin move while there’s still room to act — instead of discovering the overrun at close-out.
Daily logs, time and production tracking, photos, inspections, and punch lists captured on a phone or tablet at the point of work — and synced the moment a signal returns, because the jobsite is not a reliable network. Benefit — accurate as-built reality reaches the office same-day, and rework from stale data drops.
Example: a foreman logs progress and a deficiency photo from a basement with no signal; it uploads automatically at the truck, so the office is working from today’s site, not last week’s.
Tracks utilization, hours, location, maintenance schedules, and cost-per-asset across owned and rented machines — and surfaces the idle iron and the overdue service before they cost you. Benefit — higher utilization, lower rental spend, and downtime caught before it stops a crew.
Example: an excavator sitting idle on one site shows up against another site’s rental order, so the machine gets moved instead of a second one rented — and the cost-per-job is real, not estimated.
Two-sided platforms that let contractors rent idle equipment to each other, or order materials and rentals, with listings, availability, payments, and the full transaction ledger built in — the exact category we built end-to-end with YardClub. Benefit — idle assets become revenue, procurement gets faster, and the payment and trust layer is handled.
Example: a contractor with a machine sitting between jobs lists it and rents it to a nearby crew that would otherwise pay a dealer — turning a depreciating asset into income through software that handles the booking and the money.
A single source of truth for drawings, contracts, RFIs, lien waivers, safety records, and certified-payroll documents — versioned, searchable, and tied to the project. Benefit — disputes resolved with the record instead of arguments, and audit/compliance exposure cut.
Example: a delay claim is settled in minutes with the dated daily logs and document history pulled straight from the system — rather than a costly reconstruction from scattered files months later.
Layers analytics and, where the data supports it, machine-learning models over the project and field record — schedule-risk flags, cost-overrun early warnings, and safety-incident pattern detection. Benefit — risks surfaced early instead of explained after the fact, and a safer site.
Example: a project’s schedule-slip risk is flagged from current production rates weeks before the milestone is missed, so the GC re-sequences the trades while the recovery is still cheap.
The scope below is the software layer that runs construction — the systems that capture the field, connect it to the office, and move materials and machines. We build the software; we don’t build telematics hardware, GPS units, or on-machine controls — we read from them.
Estimating, bid tracking, scheduling, RFIs, submittals, change orders, and a versioned document and contract record — custom-built to your workflow, or integrated cleanly with the project system you already run rather than forcing a rip-and-replace.
Mobile apps for daily logs, time and production tracking, photos, inspections, and punch lists that work without a signal and sync when one returns — because a tool the crew can’t use in a dead zone is a tool the crew won’t use.
Utilization, hours, location, maintenance, and cost-per-asset tracking across owned and rented machines — built on the telematics and rental data you already collect, through our data engineering work so the numbers are trusted before anyone acts on them.
Two-sided equipment-sharing, rental, and materials-procurement platforms — listings, availability, transactions, and payments — the exact category and infrastructure we built end-to-end with YardClub.
The machine-learning models and analytics that turn the project and field record into early warnings — schedule risk, cost overrun, safety patterns — validated against your historical projects so the alerts are trustworthy, not a false-alarm generator the team learns to ignore.
Connecting the accounting, ERP, payroll, and project tools you already run into one record, and modernizing the legacy construction systems that are too brittle to build on — without ripping out what works.
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 work, tuned for the jobsite — one accountable lead, fixed scope, no handoffs to account managers.
Scope the use case and the loss it targets — rework, idle equipment, slow bids, blown schedules — and confirm the data and workflow support it. Run as our AI readiness assessment, with the honest “off-the-shelf already does this for you” call included.
Output: a ranked plan & the metric we’ll be judged on
Integrate the field, accounting, ERP, telematics, and project data you already have into a usable record through governed connections. We integrate with your existing systems; we don’t replace what’s working or touch on-machine controls.
Output: a trusted data foundation
Develop the system — including offline-first mobile where the field needs it — in your own cloud tenant, tested against your real projects and crews, not a demo.
Output: a working system on your real data
Pilot on one project, crew, or yard, prove the metric moves, then roll out wide — your team trained to operate and extend it.
Output: a production system & a team that owns it
Most engagements reach production in 4–8 weeks, payment is tied to the ROI we agreed at kickoff, and full work-for-hire IP assignment is signed before we start.
Most software shops talk about construction as a vertical they could serve. We shipped one of its category-defining platforms. YardClub — the contractor-to-contractor marketplace for heavy construction equipment, the “Airbnb for construction” — was built by Silicon Prime end to end: the listings, the availability and booking, the payments, and the full transaction infrastructure that let contractors rent idle machines to one another. It processed $120M+ in transactions and was acquired by Caterpillar in 2017.
That is the same engineering this page is about — two-sided marketplaces, payments, equipment data, and the trust layer that makes contractors transact with each other — taken all the way from a startup build to an acquisition by the largest construction-equipment maker in the world. It is the construction-industry depth most development firms claim and can’t show.
Behind that is the production discipline we apply to every system, including the ones that run a business day to day: over four years we’ve held a 200+ location operation at twice-a-week releases with zero critical defects (BJ’s Restaurants) — evals before release, staged rollout, monitoring after.
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’ve actually shipped construction software — to a Caterpillar acquisition. YardClub is real, in-industry proof: a heavy-equipment marketplace we built end-to-end, $120M+ in transactions, acquired by the largest construction-equipment maker in the world. That is depth in your industry, not a case study borrowed from another one.
Built for the field, not just the office. We build offline-first because the jobsite is not a reliable network — a tool a crew can’t use in a dead zone is a tool that doesn’t get used, and an unused tool moves no metric.
The software layer, honestly scoped. We build the systems — project, field, equipment, marketplace, analytics — not telematics hardware, GPS units, or machine controls. That boundary means a faster, lower-risk engagement and no overpromising on integration we don’t do.
Founder-led, built to transfer. One accountable lead, not a relay of account managers; the code, apps, and pipelines are assigned to you, with your team trained to run them when we step back.
What construction teams want to know before they commission custom software for the jobsite and the fleet.
We’ve built it and sold it. YardClub — a contractor-to-contractor marketplace for heavy construction equipment — was built by Silicon Prime end to end: listings, availability, payments, and transaction infrastructure. It processed $120M+ in transactions and was acquired by Caterpillar in 2017. So this is genuine in-industry depth — the marketplace, payments, and equipment-data engineering at the heart of construction tech — not a vertical we’re entering for the first time on your project.
Yes — we build field-data capture offline-first. Daily logs, time and production tracking, photos, inspections, and punch lists are captured locally on a phone or tablet and sync automatically the moment a connection returns, because a jobsite basement or a remote site is not a reliable network. A tool the crew can’t use in a dead zone is a tool the crew abandons, so working offline isn’t a feature we bolt on — it’s how the field layer is designed from the start.
No. Most of our construction work integrates with the project, accounting, ERP, payroll, and telematics systems you already use — reading their data into one record and building the piece that’s missing — rather than forcing a rip-and-replace. Where a legacy system is genuinely too brittle to build on, we’ll modernize that piece without tearing out what works, and we’ll tell you honestly when off-the-shelf already covers your need and a custom build isn’t worth it.
No — we build the software layer: project and bid systems, field-data apps, equipment and fleet software, marketplaces, and analytics. We read from the telematics and GPS data your machines and rental partners already produce, but we don’t build the on-machine hardware or controls. Keeping that boundary clear is part of why our engagements are fast and low-risk; for the hardware itself we’ll point you to the right specialist.
Independent research frames the prize. FMI and PlanGrid tie about $31.3 billion of US construction rework annually — roughly 48% of all rework — to poor project data and miscommunication (Construction Disconnected, 2018), and McKinsey finds large projects overrun budgets by an average of 79% and schedules by 52% (McKinsey, 2022). Those are industry figures, not our client results — but they’re the losses field-data, document-control, and project systems are built to attack, which is why we set the target metric at kickoff and measure it against a baseline rather than promising a number we can’t stand behind.
The software runs in your own cloud tenant under your access controls; integrations are scoped to the data each use case needs; and every engagement starts with an NDA and a security review. We document every data path so your IT team can verify rather than trust. For project and field records — daily logs, photos, contracts, certified payroll — that audit trail is also what makes the data usable later to settle a dispute or pass a compliance check.
You do — completely. The applications, mobile apps, data pipelines, and any models transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend them. Keep us on a reduced retainer or take the keys; the engagement is built around the handover, not around locking you in.
Most engagements reach production in 4–8 weeks under a fixed-scope, ROI-tied model with one accountable lead, and we typically prove the metric on a single project, crew, or yard before rolling out wide. Build cost depends on scope — our AI development cost guide gives real ranges. If you want the honest version of why so many construction-tech pilots stall before production, our analysis of why enterprise AI projects fail is worth a read first.
Thirty minutes · No pitch deck
Bring the loss you want to attack — rework, idle equipment, slow bids, blown schedules, a workflow nothing off-the-shelf fits — and we’ll tell you honestly whether custom software is the right call, what it takes to build, and what it costs to run.