Service · Engineering
Keeps production-critical software fast, patched, and defect-free.
A named pod owns the software your business runs on — fixing defects, patching on a real cadence, and tuning performance — with every line assigned to you.
The continuous loop · proactive, not reactive
SYSTEM
The real problem
Why software gets slower, riskier, and more expensive the longer it runs.
Shipping the application was the cheap part; the expensive part is the years after launch — and most maintenance happens by neglect. Dependencies drift, a known CVE sits unpatched, small defects pile into a backlog nobody owns, and performance erodes one query at a time, until one quiet Tuesday it falls over.
This isn't a minor line item. Research puts maintenance at 60–80% of a system's total cost of ownership, with fixes running three to four times the original build. The only question is whether you pay deliberately or as emergencies.
Of a system's total cost of ownership is maintenance, not the original build.
The original development cost is what post-deployment fixes run over a system's life.
The disciplines
What maintenance and support actually covers — and what each part delivers.
Four distinct disciplines, each guarding a different way software decays.
Corrective — fixing defects
Fixes bugs and crashes in production, ideally caught by monitoring before a user files a ticket.
Fewer incidents, shorter outages, a shrinking defect backlog.
Adaptive — keeping the stack current
Updates dependencies, runtimes, and third-party integrations as the world around your software changes.
No surprise breakage from a deprecated API or unsupported runtime.
Perfective — performance & tech-debt paydown
Tunes slow queries and refactors fragile code, reducing the tech debt that makes every change harder.
The application gets faster and cheaper to change over time, not slower.
Preventive — security patching & hardening
Scans for vulnerabilities, patches CVEs on a real cadence, and hardens the system against the next exploit attempt.
Closed attack windows and far fewer emergencies.
Production monitoring & incident support
Watches the live system and gives you a path to a human who knows your application.
Problems surface as an early alert and a real engineer responds — not a generic queue.
Enhancements & small-change delivery
Handles the steady stream of small feature requests, content changes, and config work between bigger projects.
The product keeps improving without a full project for every change.
Maintenance is most of a system's lifetime cost. You pay it deliberately or as emergencies. A named pod working a real cadence is how the incident never happens — instead of a queue that reacts after it does.
As of June 2026 · revisit quarterly
What disciplined maintenance does to those risks — the measured impact.
Independent industry findings on the cost of poor maintenance — not Silicon Prime's own client results.
Cost of poor software quality to the US economy in 2022 — about $1.52T of it accumulated technical debt.
The cost of a single hour of downtime for over 90% of mid-size and large enterprises.
Average time to exploit a newly disclosed vulnerability — while organizations still take tens of days to patch.
What's included
What our application maintenance and support covers.
The ongoing-care layer for software you already run in production, with our pre-release quality discipline on every change.
Onboarding & a system baseline
We learn your application and establish a baseline — defect backlog, dependency and CVE status, performance, uptime — so you get an honest map of what's healthy, at risk, and to fix first.
Corrective fixes & defect management
We triage and fix production defects against agreed priorities, working the backlog down — each fix verified by tests before it ships.
Adaptive updates & dependency management
We keep dependencies, runtimes, and integrations current, so the application never falls so far behind that staying current becomes a modernization project.
Security patching & vulnerability management
We scan for vulnerabilities, prioritize CVEs by real exploitability, and patch on an agreed cadence — closing the window attackers move through in days.
Performance tuning & tech-debt paydown
We fix the slow queries, resource leaks, and fragile code that erode performance, paying down tech debt instead of letting it compound.
Monitoring, incident support & enablement
We instrument the live system, respond to incidents within the agreed target, and either run support or train your team to — so you own the capability, not a black box.
What you get when you hire us — all yours under full work-for-hire IP
This is distinct from managed application services, where we run the whole application end to end. Maintenance keeps software your team still owns and runs healthy and current.
How it runs
How a maintenance and support engagement runs.
One accountable lead and a named pod — no handoff to a stranger when you call.
STEP 01
Onboard
Learn the application, document how it works, and take over deploy and support safely.
Output: a team that knows your system & a clean handover
STEP 02
Baseline
Measure defect backlog, CVE status, performance, and uptime, then agree the targets we'll be judged on.
Output: a baseline & the metrics that define "working"
STEP 03
Run
The continuous loop: monitor, triage, fix, patch, tune, and ship small changes — every fix verified.
Output: a system held healthy & current, reported on cadence
STEP 04
Improve
Work the backlog and tech debt down over time, and either keep running it or train your team to own it.
Output: software cheaper to change & a team that can take the keys
Track record
Four years owning a business-critical system — without drama.
The clearest evidence we do the long, unglamorous work well is the engagement that is exactly this — sustained run and ownership, not a one-off fix.
A Stanford-rooted Responsible AI lab, founded 2011, run by founder Kelvin Tran — 20+ years of production engineering, personally accountable for every engagement. We'll tell you plainly when your problem is three fixes and a patch cadence, not a year-long rebuild — which a firm billing by the managed seat won't.
Maintenance owned · 200+ locations · 4+ years
BJ's Restaurants — we've owned the maintenance for four-plus years. Release cadence rose from every two weeks to twice a week with zero critical defects sustained, while the cost of maintaining its web apps went down, not up. That is what continuous maintenance actually looks like.
Why run your maintenance with us.
What sets us apart is that you keep a healthy system and the capability to run it — not a dependency dressed up as a service.
Proactive, not reactive. A multi-year production record of holding a non-tech enterprise at zero critical defects (BJ's) — maintenance as prevention, where the incident never happens, not a queue that reacts after it does.
A pod that knows your system, not a ticket lottery. The same accountable lead and named engineers stay with your application, so whoever picks up at 2 a.m. already knows how it's wired — knowledge you're paying to keep, not relearn each call.
AI-augmented upkeep. Our patent-pending Aegis AI process applies AI code review, regression prevention, and risk scoring to maintenance work, so more of the codebase stays covered and more defects are caught before production than a manual team could hold.
Built to transfer. Every fix, runbook, dashboard, and the maintained code itself is assigned to you under full work-for-hire IP — so keeping us on is a choice, not a lock-in.
Where it matters most
Where disciplined maintenance matters most.
Restaurants & multi-location retail
Where point-of-sale, ordering, and operations software is business-critical and a bad patch or missed defect hits hundreds of sites at once — the exact setting we've sustained for years.
Restaurant software →Sports & fitness
Platforms carried for over a decade of upkeep and dependency work without an outage, where the product has to stay live through every change.
Sports & fitness software →Fintech & transactional systems
Money-critical software where an unpatched CVE or a slow query is a direct liability and every fix has to be provably safe.
Fintech software →Questions buyers ask before they hire.
Thirty minutes · no pitch deck
Ready to stop paying for maintenance as emergencies?
Bring the software your business runs on — we'll baseline its health, tell you honestly what's at risk, and put a named pod on a real cadence behind it.