Vectorton builds and modernizes the software behind telecom: OSS and BSS systems, billing and charging, provisioning and orchestration, and the digital experiences subscribers now expect. We work where massive scale, real-time demands, and decades-old systems meet — and we design for an industry where carrier-grade reliability is the floor, not the goal.
Telecom software combines two of the hardest problems in the industry at once: enormous scale and a legacy stack that's terrifying to change. You're running OSS/BSS systems — billing, charging, order management, inventory, provisioning, assurance — that may be among the largest and oldest software estates in any industry, deeply integrated and too critical to touch carelessly. At the same time, you're processing billions of events in real time, serving millions of subscribers who expect five-nines reliability and a digital experience as smooth as any app on their phone.
And the ground keeps shifting underneath — 5G, virtualization, cloud-native networks, IoT connectivity. Most software teams have never worked at telecom scale or inside an OSS/BSS stack, and they underestimate all of it. We design for the real conditions — massive scale, real-time processing, carrier-grade reliability, and legacy systems that can't go down — so what we build holds up where it has to.
Carriers modernizing OSS/BSS and building digital experiences.
Modernizing connectivity, provisioning, and customer experience systems.
Flexible, modern BSS and digital platforms for efficient service.
Platforms for connected-device connectivity at scale.
Specialized help with scale, integration, and industry standards.
We modernize the OSS/BSS stack incrementally — connecting modern systems to the existing estate so you move fast without breaking the network.
We build billing, charging, and mediation software that processes enormous event volumes accurately and in real time.
We build provisioning and orchestration that turns an order into working service reliably, at carrier scale.
We build the subscriber experiences and self-service that feel as smooth as any app on the phone.
We build the pipelines and platforms that handle telecom's event and usage data reliably at scale, turning it into insight.
We build the operational software that keeps the network observable and manageable, from assurance to inventory.
We modernize the largest and oldest software estates incrementally, so billing, provisioning, and assurance never stop.
We apply machine learning where it earns its place — assurance, care, and optimization — and are honest where it doesn't.
The hardest, highest-value work in telecom software is around the OSS/BSS stack — and the biggest risk is breaking the network while you do it. That's where we focus.
Strangler-fig migrations and staged modernization instead of risky wholesale replacements.
Connecting modern systems and experiences to the existing stack, so you move fast without ripping out the foundation.
Alignment with TM Forum Open APIs and industry standards where it helps interoperability.
Modernization staged so billing, provisioning, and assurance never stop.
Telecom software has to hold up at a scale and reliability bar most industries never approach. We design to it from the start.
Systems that process billions of events and serve millions of subscribers without buckling.
Charging, provisioning, and event processing designed for real-time demands.
High availability and resilience for systems expected to approach five-nines uptime.
Load and resilience testing that reflects real telecom volumes, not a demo.
We understand OSS/BSS and scale, not just web apps.
Billing, charging, provisioning, assurance, and the realities of carrier-scale systems — we start from how telecom actually runs.
Senior engineers, not a training ground.
Telecom scale and the OSS/BSS stack are the wrong place to learn on the job. You get experienced people who've worked under real constraints.
We respect that service can't stop.
Breaking billing, provisioning, or the network is the failure that matters most, so we modernize incrementally and integrate before we replace.
Honest about trade-offs.
Integrate vs. replace, modernize now vs. later, where AI belongs and where it doesn't — you'll get the straight version, including when the simpler path is right.