For systems that integrate, scale, and survive the rollout.
We build the internal platforms a large organization runs on — multi-team, role-based applications wired into your systems of record, governed for security and compliance.
Not a greenfield prototype that stalls at integration: a production system inside your own cloud, with every line of code, schema, and runbook assigned to you. Fixed scope, one accountable lead, steady state in 4–8 weeks.
Because the hard part was never the screens — it’s everything the screens have to talk to. An enterprise application has to read and write your ERP, your CRM, your identity provider, your data warehouse, and a decade of systems nobody fully documents.
Then it has to serve a dozen roles with different permissions, under audit, without going down. The demo works on a clean database; the rollout meets reality.
Enterprise application development that ignores that surrounding reality produces a polished front end on top of nothing — which is exactly the project that gets quietly shelved.
“Enterprise application” is a category, not a product. It earns its budget in a handful of specific, high-leverage places. For each: what it does, the benefit it produces, and a one-line illustration of how that plays out.
Replaces the spreadsheets, email chains, and shadow tools a department runs on with one role-based system wired to the underlying records. Benefit — fewer handoff errors and faster cycle time on a core process. A request moves through one auditable workflow instead of five disconnected inboxes.
For example, a purchase approval that used to bounce between email, a spreadsheet, and the ERP for days routes through one screen and posts to the system of record on approval — so the cycle drops from days to hours and nothing falls through the cracks.
Gives customers, vendors, or partners self-service access to their own data and transactions, drawing live from your back-office systems. Benefit — lower support load and higher self-service adoption. Routine status checks and changes stop becoming phone calls.
For example, a B2B customer checks an order, downloads an invoice, and updates account details in the portal at midnight instead of opening a ticket the next morning — removing the contact and the wait at once.
Connects your ERP, CRM, identity provider, and data warehouse through governed, permissioned interfaces so applications share one source of truth. Benefit — data consistency and the end of double entry. One record updates everywhere instead of drifting across silos.
For example, a customer address changed once in the CRM flows to billing and fulfillment automatically, so the package and the invoice stop going to two different places.
Builds the operational back-office — dashboards, case management, configuration consoles — that ops, support, and finance teams use to run the business. Benefit — staff productivity and fewer engineering tickets. Teams self-serve the actions they used to file requests for.
For example, a support lead reassigns a queue or corrects a record through an admin console in seconds instead of waiting on an engineer to run a script.
Captures the events, approvals, and access trails a regulated business has to prove, and turns them into reports on demand. Benefit — lower audit cost and reduced compliance risk. Evidence is a query, not a quarterly fire drill.
For example, an auditor’s request for “who approved this and when” is answered from an immutable log in minutes instead of a week of reconstructing it from emails.
Re-platforms an aging, unsupportable system onto a modern, integrated stack — without taking the business offline during the cutover. Benefit — lower maintenance cost and removal of a single point of failure. Capacity stops draining into keeping a brittle system alive.
For example, a 15-year-old in-house tool that only one retiring engineer understands is replaced by a supported platform on a staged cutover, so the institutional risk retires with the code, not the person.
The scope below is what separates a system that survives the rollout from a prototype that stalls at integration. Each is a real engineering line item, not a slogan.
We design the application against your existing stack and constraints — data model, service boundaries, identity, and how it talks to your systems of record — so scale and integration are decisions made up front, not retrofits. Where the right shape is a set of independently shippable services, we design it as microservices rather than another monolith.
We connect the application to your ERP, CRM, identity provider, data warehouse, and legacy systems through governed, permissioned interfaces — one source of truth, with the access controls your security team already runs, not a tangle of point-to-point scripts.
We build the multi-role front end and the services behind it — the workflows, permissions, and admin tooling that different teams need — as one coherent system rather than a stack of disconnected tools.
Authentication, authorization, audit logging, and data handling are engineered in from the first commit, mapped to the regimes you answer to. Hardening and pipeline security run as our DevSecOps practice, not a pre-launch scramble.
We build it to run in your own cloud and hold up under real load — sensible data architecture, caching, and horizontal scale — and handle the cloud migration when the platform is moving off legacy infrastructure as part of the work.
We ship behind a staged rollout, instrument it for errors, performance, and cost, and train your team to operate, extend, and own it — so the system doesn’t become a dependency on us.
What you get when you hire us — all assigned to you under full work-for-hire IP
One accountable lead, fixed scope, no handoffs — the same delivery model behind all our work, scaled for the integration and governance an enterprise platform demands.
Map the process, the roles, the systems of record it must integrate with, and the compliance regime it answers to.
Output: a ranked scope & the success metrics
Design the data model, service boundaries, integration interfaces, and security model against your real stack, with a security and architecture review before a line of production code is written.
Output: an approved architecture & integration plan
Develop the platform in your own cloud tenant, wired to your systems through governed interfaces, with access controls, audit logging, and automated tests in place.
Output: a working system behind your security perimeter
Staged cutover (shadow, pilot, wide), errors and performance measured throughout, your team trained to operate it.
Output: a production platform & a team that owns it
Most engagements reach steady state in 4–8 weeks, with full work-for-hire IP assignment signed at kickoff and payment structured around the ROI we agree to deliver.
We don’t have a stock photo of a war room; we have systems that have run for years under real load. The strongest evidence for enterprise application development is longevity and discipline — so here is the relevant record, each entry an adjacent engagement that demonstrates one facet of this work, not a claim that we built your exact platform:
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — 20+ years of production engineering, including multimillion-dollar systems for one of the world’s largest automobile manufacturers, personally accountable for every engagement. The same person who scopes your platform answers for whether it ships.
One accountable lead, not an account team. No layers, no handoffs between sales and delivery — the engineer who designs the architecture is the one who answers for the rollout.
In-house full stack. Architecture, integration, security, and operations are one team that has carried platforms for over a decade, not a chain of subcontractors stitched together for a bid.
Built to transfer. Code, schemas, pipelines, and runbooks are assigned to you under full work-for-hire IP, and your team is trained to run and extend the system — you’re buying an asset you own, not a dependency.
Honest scoping. We’ll tell you which parts to build, which to buy, and which not to build at all — including when an off-the-shelf product beats a custom application. A firm paid only to build won’t.
AI where it earns its place. When the platform genuinely benefits from intelligence, our enterprise AI development brings the same governed, production-first discipline — and we say so plainly when it doesn’t.
Patient, provider, and operations platforms inside HIPAA-compliant architectures, with every access and change logged for audit. Healthcare software →
Servicing, back-office, and reporting applications where every transaction carries an audit trail and real-time decisioning runs under regulatory scrutiny. Fintech software →
Internal platforms that hold a distributed, software-critical operation to a consistent process across every site, the way a 200+ location chain runs on one system.
What teams want to know before they commission an enterprise application.
Scale, integration, and governance. General custom software might be a standalone tool for one team; enterprise application development means a multi-role system that has to integrate with your systems of record, enforce security and compliance, and stay up as load and headcount grow.
The build technique is similar; the surrounding engineering — identity, audit, integration, staged rollout — is the difference, and it’s where most enterprise projects fail. That’s also why this isn’t a microservices project or a cloud migration by another name — those are techniques we use inside it when the architecture calls for them.
Yes — that’s the core of the work, not an add-on. We integrate through governed, permissioned interfaces to your systems of record so the application shares one source of truth instead of duplicating data.
Given that the average enterprise has only 29% of its applications connected (MuleSoft, 2025), the integration layer is usually where the real value and the real risk sit, and we scope it first.
Authentication, authorization, audit logging, and data handling are engineered in from the first commit and mapped to the regime you answer to (HIPAA, SOC 2, PCI, and similar). The application runs in your own cloud tenant under your access controls, every engagement starts with an NDA and a security review, and pipeline hardening runs as our DevSecOps practice rather than a pre-launch scramble.
Discipline against the failure modes. Large-company projects succeed only about 9% of the time (Standish, CHAOS), almost always from big-bang launches and unscoped integration.
We counter both: fixed scope with one accountable lead, an architecture and security review before production code, a staged cutover instead of a single go-live, and weekly progress against the metrics agreed at kickoff.
Yes — it’s a staged cutover, not a flip of the switch. We stand up the new platform alongside the old one, migrate in phases, run them in parallel where needed, and decommission the legacy system only once the replacement is proven. We carried Bridge Athletic through 12+ years of modernization and re-platforming without the product going offline (Bridge Athletic).
You do — completely. Source code, schemas, CI/CD pipelines, and runbooks transfer under full work-for-hire IP assignment signed at kickoff, and your team is trained to operate and extend it. Keep us on a reduced retainer or take the keys entirely; the engagement is built around the handover, not around locking you in.
Most enterprise applications reach steady state in 4–8 weeks under a fixed-scope engagement with payment tied to the ROI we agree to deliver. Total cost depends on scope and integration surface — our AI development cost guide gives real ranges and how we estimate — and we model the run cost before building, so the first invoice is a forecast you’ve already approved.
Thirty minutes · No pitch deck
Bring the process and the systems it has to talk to — we’ll tell you honestly what it takes to build, where the integration risk sits, whether to build or buy, and what it costs to run.