Industry · Telecom
Carrier-grade OSS/BSS, network operations, and customer care.
We build and modernize the software that runs telecom — order-to-activate and billing (BSS), provisioning and service assurance (OSS), network-operations analytics, and carrier-scale support.
Engineered for the reliability your subscribers assume, shipped behind staged rollouts with rollback.
The carrier stack, shipped safely
The problem
Why telecom software is so hard to change safely.
A carrier's stack is decades of accreted systems carrying live traffic that can never go dark. Billing engines, provisioning workflows, and inventory databases were built in silos, integrated by batch jobs, and wrapped in so much risk that a routine change becomes a quarter-long project.
Meanwhile 5G, IoT, and new monetization models demand orchestration the legacy stack was never designed for. The cost of getting a change wrong is uniquely brutal — the systems are mission-critical, the blast radius is national, and the engineering discipline around how change ships is the whole game.
calls blocked — plus 25,000+ attempts to reach 911 — when one misconfigured element triggered an automatic shutdown across AT&T's wireless network.
The FCC traced it to missing post-installation testing and change controls.
What we build
Where telecom software pays off — and what each build delivers.
Telecom isn't one system; it's a stack of high-volume processes, each with its own failure mode and payoff. For each: what we build, the benefit, and how it plays out.
OSS — provisioning & service assurance
Activates services, manages inventory, and correlates faults across the network.
Benefit — faster activation and fewer truck rolls, problems caught before subscribers notice.
Example: a business-fiber order that waited days on a manual queue activates same-day — and a degrading cell site is rerouted before the support line lights up.
BSS — billing, charging & order management
Rating, charging, billing, and order-to-cash that price complex plans and bill them correctly.
Benefit — accurate bills, faster new-plan launches, less revenue leakage.
Example: a usage-based 5G plan goes live for its launch window, not a quarter late — and a charging error that would trigger thousands of complaints is caught in test.
Network-operations analytics
Telemetry pipelines and models over network and device data for capacity planning, anomaly detection, and predictive maintenance.
Benefit — higher uptime and capital spent where it actually relieves congestion.
Example: a backhaul link nearing saturation is flagged a week out, so capacity is added before peak — turning a customer-visible brownout into a non-event.
Customer care & self-service at scale
Support assistants and self-service wired to billing, provisioning, and account systems so they resolve — not just chat.
Benefit — routine contacts handled instantly at lower cost, agents freed for the hard cases.
Example: a customer asking "why is my bill higher?" at 11 p.m. gets a grounded, itemized answer — and the agent queue shortens for the disputes that need a person.
Subscriber & field-workforce apps
Self-service mobile/web apps for subscribers and dispatch/field tools for technicians, integrated to the core.
Benefit — lower service friction for customers, more first-time-fix for field teams.
Example: a technician arrives with the full service history and the right part already dispatched, so it's a first-trip fix.
"Order-to-activate cycles measured in weeks compress toward minutes — and reactive firefighting becomes proactive resolution."
See the full scope →The measured impact
What modern software does to telecom operations.
Independent, named-source industry findings, cited as third-party evidence — not Silicon Prime's own client results.
Of care activity automatable
with a 30–45% productivity gain from generative AI while improving customer experience — the case for resolving routine contacts in software.
CSP spend on OSS/BSS by 2028
a 5.0% CAGR from 2022, driven by 5G, cloud migration, and automation. Carriers are re-platforming the core stack, not patching it.
Calls blocked in one outage
and 25,000+ 911 attempts over ~12 hours — which the FCC attributed to inadequate testing and change controls. The discipline around how software ships is not overhead.
The whole game is how change ships — and that's the discipline we're built on.
We've held a 200+ location business at twice-a-week releases with zero critical defects for four years, and carried another production platform through 12+ years of modernization without downtime. We don't have a named carrier yet — so we scope conservatively and prove the approach on a contained pilot before wide rollout.
The scope
What telecom software development with us covers.
What separates a system that carries live subscriber traffic reliably from one that becomes the next outage post-mortem.
OSS/BSS development & integration
Order-to-activate, charging, billing, provisioning, inventory, and assurance — integrated through governed, permissioned APIs across your existing systems, not another silo. The honest "modernize this, leave that" call is part of scope.
Legacy modernization & migration
Re-platform aging billing and provisioning systems toward cloud-native, API-first architectures without taking the service offline — paying down technical debt one pass at a time, on production systems for over a decade.
Network-operations analytics & AI
Telemetry pipelines, anomaly detection, and predictive-maintenance models over your network and device data — scoped against where AI genuinely pays, with the "don't build this one" call included.
Customer-care & self-service systems
Support assistants and self-service flows grounded in your account, billing, and provisioning data — with human-in-the-loop escalation, so the system escalates instead of guessing when confidence drops.
Safe-deploy engineering & assurance
Staged rollout, automated testing, regression prevention, and rollback built into how every change ships — plus the observability to catch a bad change before it propagates. The layer the AT&T post-mortem was about.
Subscriber & field-workforce applications
Customer-facing web/mobile apps and field-technician tooling, integrated end-to-end to the OSS/BSS core.
What you get — all assigned to you under full work-for-hire IP transfer
How it runs
One accountable lead, fixed scope, no handoffs.
Tuned for systems where downtime is not an option. Most engagements reach production in 4–8 weeks, full IP assignment signed at kickoff.
Discover
Map the systems, integrations, and live traffic the change touches, and the constraints — regulatory, SLA, peak windows — it must respect.
Output: a ranked plan & the success metrics
Design
Architect the build or migration path, choose the model on your workload where AI is in scope, and define the rollout, testing, and rollback strategy before code.
Output: an architecture & a safe-change plan
Build
Develop in your own cloud tenant, wired to your systems through governed APIs, with assurance, guardrails, and observability built in from the start.
Output: a working system behind your controls
Deploy & enable
Shadow, then pilot, then wide — each gated by the testing and rollback plan — monitored as it propagates, your team trained to operate it.
Output: a production system & a team that owns it
The track record
No named carrier yet — but the always-on discipline telecom demands.
We'll be straight: we have not delivered for a named carrier, and we won't claim a case we don't have. What transfers directly is the discipline telecom demands most — shipping change to a mission-critical, always-on system safely.
We've held a 200+ location business (BJ's Restaurants) at twice-a-week releases with zero critical defects for four years — and carried another production platform (Bridge Athletic) through 12+ years of modernization without downtime. We scope conservatively and prove the approach on a contained pilot before wide rollout.
The AT&T post-mortem is the lesson, not our project. The FCC traced 92M+ blocked calls to missing post-installation testing and change controls — exactly the safe-deploy layer we build into how every change ships. That failure is what this discipline exists to prevent.
Silicon Prime is a Stanford-rooted Responsible AI lab, founded in 2011, run by founder Kelvin Tran — personally accountable for every engagement.
BJ's Restaurants
A 200+ location operation held at twice-a-week releases with zero critical defects across four years — shipping change to a system that can't go down. The exact safe-deploy bar a carrier stack demands.
Bridge Athletic
A live platform carried through 12+ years of re-platforming and modernization without ever going offline — the never-go-dark constraint an OSS/BSS migration runs under.
Why build it with us.
Safe deployment is the build, not a hope at the end. Staged rollout, testing, regression prevention, and rollback are how every change ships — exactly the layer the AT&T outage was missing.
We modernize without going offline. A decade-plus of re-platforming production systems in parallel, migrating behind staged cutover with rollback — service continuity is the gate every change clears, not an afterthought.
AI scoped to what genuinely pays. We build network analytics and grounded care assistants, benchmark candidate models on your real workload, and tell you where a model isn't the right tool — not default to one.
Founder-led, built to transfer. One accountable lead; code, integrations, pipelines, models, and runbooks assigned to you, your team trained to run them when we step back.
Where this connects
A telecom build rarely stands alone.
It rests on the same engineering we bring to neighboring work.
Application modernization
Re-platform aging billing and provisioning systems toward cloud-native, API-first — without taking the service offline.
App modernization →DevOps & observability
The staged-rollout, testing, and rollback layer that catches a bad change before it propagates across the network.
DevOps services →Conversational AI
Carrier-scale care assistants grounded in account, billing, and provisioning data — resolving, not just chatting.
Conversational AI →Questions buyers ask before they build.
Have you built telecom software for a carrier before?+
Can you modernize our OSS/BSS without taking the network offline?+
How do you keep a change from causing an outage?+
Do you build the AI parts too, or just integrate vendors?+
How do you handle data security and regulatory constraints?+
How do we choose the right telecom software development partner?+
Who owns the software when you're done?+
What does it cost and how long does it take?+
Thirty minutes · No pitch deck
Ready to change the carrier stack without an outage post-mortem?
Bring the system — OSS/BSS, a network-analytics model, a care assistant, or a legacy migration — and we'll tell you honestly what it takes to build, how we'd ship it safely, and what it costs to run.