Multi-tenant products built to ship and engineered to scale.
We build subscription software you sell: a real multi-tenant product with tenant isolation, billing, and access control designed in from the first commit — not bolted on when your first enterprise buyer asks for SSO.
From MVP to the architecture that survives growth, built in your own cloud on the model and stack the job calls for, with every line of code and the full pipeline assigned to you. Fixed scope, one accountable lead, a working product in 4–8 weeks.
Because the MVP was built to demo, not to multiply. It works for the first ten customers because everything is implicit — one tenant, one config, shared everything, no real isolation.
Then the eleventh customer is an enterprise that wants SSO, their data walled off, and a usage-based plan, and the architecture has no place to put any of it. Retrofitting tenancy, billing, and isolation into a product already in production is the most expensive rework in SaaS — and the quarter it lands is the quarter the roadmap stops.
The model is never the bottleneck. The bottleneck is the engineering decisions made before the first paying customer: how tenants are isolated, how subscriptions and usage are metered, how the paths that buckle under load are built, and whether any of it was designed to scale or just to ship Friday.
A SaaS development company earns its fee on exactly those decisions — the ones a generic build team defers until they’re ten times harder to fix.
“SaaS development” isn’t one task; it’s the specific set of systems that turn a feature into a sellable, multi-tenant product. For each: what it does, the benefit it produces, and a one-line illustration.
The smallest version that proves your value — but built as a real product, with clean architecture and the tenancy seams already in place, not a throwaway prototype you rebuild the moment it works. Benefit — you reach paying customers fast without building a wall you have to demolish later.
Example: a founder ships the three flows their first customers actually pay for in weeks, and when customer eleven arrives the product extends to them instead of needing a rewrite.
The foundation that lets one application and one team serve every customer while each tenant’s data and access stay walled off — designed in from the start, not patched in after a security review fails. Benefit — you serve many customers on one codebase, and pass the enterprise data-isolation question instead of stalling on it.
Example: an enterprise prospect asks “is our data isolated from other customers?” and the answer is a documented architecture decision, not a scramble — so the deal doesn’t slip a quarter while you retrofit row-level security.
Plans and tiers, trials, proration, and usage-based metering wired to a billing provider so the product charges correctly and the revenue is auditable — the part founders chronically underestimate and that quietly leaks money when it’s wrong. Benefit — revenue is captured accurately and plan changes don’t become support tickets or refunds.
Example: a customer upgrades mid-cycle and is billed the correct prorated amount automatically, instead of triggering a manual invoice fix and an awkward credit.
Authentication, roles, SSO (SAML/OIDC), provisioning, webhooks, and the third-party APIs your product depends on — built securely and resiliently so an integration failure degrades gracefully instead of taking the product down. Benefit — you clear enterprise security checklists and stay up when a dependency wobbles.
Example: an enterprise buyer requires SSO before signing; because identity was built for it, you turn it on as configuration rather than a multi-week project that holds up the contract.
Re-engineering the specific paths that buckle under growth — the slow query, the synchronous call that should be a queue, the endpoint that falls over at 10× load — with caching, async work, and horizontal scaling where the load actually is. Benefit — the product stays fast and up exactly when growth would otherwise break it.
Example: a feature that ran fine for a hundred tenants and timed out at a thousand is moved to a background queue, so the product keeps responding the week a launch finally drives real volume instead of falling over at the worst moment.
Assistants, retrieval-grounded answers, and intelligent automation built into the product as real, evaluated features — see our generative AI development work — not a wrapper bolted on for the launch announcement. Benefit — a differentiating feature that works on your data and is measured before customers see it.
Example: a SaaS product adds an in-app assistant that answers from the customer’s own workspace and escalates when unsure, instead of a demo feature that invents answers and erodes trust.
End to end, in-house, full stack — the scope below is what separates a product you can sell and scale from an MVP that has to be rebuilt the moment it succeeds.
We start from the core flows your first customers pay for and the success metrics that matter, then return a fixed scope and a costed plan — the honest “ship this first, defer that” call included, because scoping to shippable units is what the CHAOS data rewards.
We stand up the tenancy model, tenant isolation, authentication, roles, and access control as the foundation — so data separation and enterprise auth are architecture decisions made up front, not retrofits forced by a failed security review.
Plans, tiers, trials, proration, and usage-based metering wired to a billing provider, with the revenue made auditable — the system that charges correctly and survives the plan changes real customers make.
We connect the product to the platforms it depends on and the identity systems enterprises require — SSO, provisioning, webhooks, and third-party APIs — built with graceful degradation so one dependency failing doesn’t take the product down.
We re-engineer the paths that buckle under growth — caching, async work and queues, horizontal scaling — and instrument the product with structured logs, metrics, and traces so you can see and fix what’s slow before customers feel it. The discipline behind it is our DevOps practice.
Pre-release code review, automated test coverage, and regression prevention are part of the build, not a final phase; we ship on a CI/CD pipeline with quality gates and zero-downtime deploys, and harden the product toward SOC 2 readiness.
What you get when you hire us — all assigned to you under full work-for-hire IP transfer
One application and one data store for every tenant, partitioned by row-level security. The most cost-efficient model and the right start for most products serving many smaller customers.
Each tenant gets its own database or schema: the hardest isolation boundary, for enterprise or regulated customers who require their data physically separated.
A pooled core for the long tail plus siloed stores for the enterprise accounts that demand isolation, so one product serves both without two codebases. There is no default — we pick on your customers, compliance needs, and unit economics.
One accountable lead, a fixed scope, payment tied to the ROI we agreed on — the same delivery model behind all our custom software development, tuned for a product you’ll sell and scale. It runs as a loop, not a one-time handoff.
Define the MVP, the success metrics that matter, and an ROI-backed plan.
Output: a written scope, a fixed price & the metrics we’ll be judged on
Stand up the tenancy model, authentication, tenant isolation, and the billing skeleton before feature work.
Output: the architecture your product scales on
Ship the core flows fast, with quality gates and test coverage built in, in your own cloud tenant.
Output: a working product your first customers can use
Wire in SSO, the platforms your product depends on, and the data it runs on.
Output: a product that clears enterprise integration and security checks
Tune the paths that buckle under growth and tighten security toward SOC 2 readiness.
Output: a product that stays fast and up as volume climbs
Measure in-market, add features (including AI), and extend the roadmap.
Output: a product that compounds & a team trained to run it
Most engagements reach a working steady state in 4–8 weeks — a real codebase your team owns from the first commit, not code you throw away or stay locked into.
We don’t lead with a stock photo of a team at laptops. The hardest test of a SaaS development company isn’t shipping an MVP — it’s whether the product holds up as transactions scale and a buyer puts it through due diligence. So here is the single engagement that proves it most directly.
We built YardClub — a contractor-to-contractor marketplace for heavy construction equipment, the “Airbnb for construction” — as a SaaS startup, end to end: the listings, the multi-party flows, and the payment and transaction infrastructure underneath. It was engineered to clear money reliably and to scale from the start, not retrofitted when volume arrived.
The product processed $120M+ in transactions and was acquired by Caterpillar in 2017 — a SaaS platform built to ship, built to scale, and built solid enough to survive an acquirer’s technical due diligence. That is the entire SaaS arc on one engagement: MVP to transaction scale to exit.
The reliability discipline that makes a product survivable at scale is the same one we’re known for: for BJ’s Restaurants, a 200+ location chain, we hold business-critical software at twice-a-week releases with zero critical defects across four years — the staged-rollout-and-monitoring practice that keeps a SaaS product up when every release touches live revenue. (Offered as the reliability proof behind this page, not as a claim that we built your exact product.)
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. The same person who scopes your product answers for whether it ships and scales.
We’ve taken a SaaS product all the way through. MVP, multi-tenant scale, payments, and an acquirer’s due diligence — YardClub is the full arc, not a slide. We build the foundation you scale on, knowing what scale and a buyer actually demand of it.
Tenancy, billing, and isolation are designed in, not retrofitted. The most expensive SaaS rework is bolting multi-tenancy and enterprise auth onto a live product. We make those architecture decisions up front, so the enterprise customer extends the product instead of breaking it.
One accountable lead, fixed scope, ROI-tied. No account managers, no scope drift, no open-ended hourly meter. The engineer who scopes the product owns whether it ships and scales.
Built to transfer. Source, pipeline, data model, billing, and runbooks are assigned to you under full work-for-hire IP, and your team is trained to run and extend it — the MVP becomes the foundation you scale on, not a black box only we can maintain.
Honest scoping. We’ll tell you which flows to ship first and which to defer, and when a feature isn’t worth building yet — because scope discipline, not effort, is what gets a SaaS product to market.
Subscription and transactional platforms where every charge is auditable and reliability is the product, built on the same payments and transaction-infrastructure engineering behind YardClub. Fintech software →
Multi-tenant clinical and operations products inside HIPAA-compliant architectures, every tenant’s data isolated and every access logged for audit. Healthcare software →
Multi-party SaaS products with listings, transactions, and payments, engineered to clear volume cleanly and scale from launch rather than buckle when traction arrives.
Products that run a specific industry’s workflow as a sellable multi-tenant platform, shipped frequently without breaking what’s live for paying customers.
What teams want to know before they commission a SaaS product.
A SaaS development company builds for the things that make software sellable and scalable as a product — multi-tenant isolation, subscription billing and metering, SSO and provisioning, and the reliability to stay up as customers grow — designed in from the start, not added later. A general build team can write the features; the SaaS-specific work is the tenancy, billing, and scaling architecture that decides whether customer eleven extends the product or breaks it. That foundation is the job, and getting it wrong is the most expensive rework in SaaS.
Yes — and we build it as a real product, not a throwaway prototype. The MVP is the core flows your first customers pay for, shipped fast with the tenancy and quality seams already in place, so it becomes the foundation you scale on instead of code you rebuild the moment it works. Scoping to shippable units is deliberate: Standish CHAOS data shows tightly-scoped projects succeed at roughly 90% versus under 10% for big-bang builds.
We choose the tenancy model on your customers, compliance needs, and unit economics — pooled (one shared store partitioned by row-level security, the most cost-efficient), siloed (each tenant its own database or schema, the hardest isolation boundary), or hybrid (a pooled core plus siloed stores for enterprise accounts). Isolation is an architecture decision made up front and documented, so when an enterprise buyer asks whether their data is walled off, the answer is the design, not a scramble.
Yes — plans and tiers, trials, proration, and usage-based metering, wired to a billing provider and made auditable. It’s the part founders most often underestimate, and it quietly leaks revenue when it’s wrong, so we build it as a first-class system: a mid-cycle upgrade bills the correct prorated amount automatically instead of becoming a manual invoice fix and a credit.
Yes — assistants, retrieval-grounded answers, and intelligent automation, built as real evaluated features on your customers’ data rather than a demo wrapper. Because we’re a Responsible AI lab, the feature is grounded, measured before launch, and escalates when unsure — see our generative AI development for how we build and evaluate it.
Most products reach a working steady state in 4–8 weeks, and cost depends on the scope of the core flows your first customers pay for — you commit to a defined product and price, not an open-ended estimate. Our development cost guide gives real ranges, and we model the run cost (infrastructure and per-tenant economics) before building, so the first invoice is a forecast you’ve already seen.
We re-engineer the specific paths that buckle under growth — slow queries, synchronous calls that should be queues, endpoints that fall over at load — with caching, async work, horizontal scaling, and observability (structured logs, metrics, traces) so you see what’s slow before customers do. It matters commercially: retention drives growth, and ChartMogul’s 2024 data shows companies with ≥100% net revenue retention grow more than twice as fast — a product that’s down or slow doesn’t retain.
Every engagement starts with an NDA and a security review; the product runs in your own cloud tenant under your access controls, integrations use scoped permissioned connections, and we engineer toward SOC 2 readiness — documented controls, audit logging, and a defensible data architecture. For regulated products we build inside the architecture your industry requires — HIPAA in healthcare, auditability in fintech.
You do — completely. Full source code, the data model, the CI/CD pipeline, billing, and integrations transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend the product. No proprietary runtime to keep licensing, no black box: the MVP becomes the foundation you scale on. Keep us on a reduced retainer or take the keys outright.
Thirty minutes · No pitch deck
Tell us what you’re trying to ship — we’ll scope it, name the trade-offs (tenancy model, billing, what to build first), and give you a costed path from MVP to scale.