Industry — Telecom & Connectivity
We build the customer-facing and operational systems that sit on top of a network: ordering and provisioning that has to reach real equipment, rating and billing that has to be defensible line by line, and apps that stay useful on the day the network is not.
Telecom & Connectivity
A customer taps confirm, and something now has to happen in a provisioning system, an inventory database, a rating engine, a CRM and a piece of network equipment — several of which are older than the app, answer on their own schedule, and occasionally fail halfway through. Aryavos builds the layers that make that sequence survivable: idempotent orders, order state that can be resumed rather than restarted, reconciliation against the network's own view of what exists, and a support console that shows an agent what actually happened. Where a system only accepts a file overnight, we build for that instead of pretending it is an API.
What We Build
An API and event layer in front of the systems you cannot replace, so new products stop waiting on a release train that belongs to someone else — and functions move off the incumbent one at a time rather than in a single cutover.
Plans, usage, top-ups, bills and disputes for consumer and business customers, built so a slow downstream system produces a clear message rather than a spinner — and so the number a customer sees matches the one on the invoice.
Order decomposition, long-running workflows, retries and compensation across the systems and network elements an order has to touch, with a resumable state machine instead of a job that has to be restarted from the beginning.
Alarm correlation, usage anomaly detection and fraud scoring on live traffic, with the case management and thresholds around them — because a model that flags everything is the same as a model that flags nothing.
Device and SIM lifecycle management, connectivity APIs, and applications for fleets of endpoints that connect intermittently and cannot be updated whenever it is convenient.
Usage records collected, deduplicated and rated against tariffs that change mid-cycle, then invoicing, adjustments and revenue assurance — including the reruns you need when a rate was loaded wrong.
Engineering Stack
Chosen for what the integration demands — throughput on usage records, order state that lives for days, or a protocol the network element already speaks.
How We Work
The things that decide whether a launch holds up once it meets real inventory, real numbering and a network element that answers slowly.
Product and service catalogue models, order and inventory structures, usage record formats and settlement rules are part of the requirements we work from — not something handed back to your team to translate for us.
New services go behind an API and event layer rather than into the incumbent stack, so a launch does not wait on a vendor release train. Functions move across when there is a reason to move them, not because a programme plan said so.
Alarm correlation, order fallout handling and ticket triage are worth automating because the volume is relentless and the rules are stable. We say so when a case is better served by a clear queue and a good console than by a model nobody can explain to an auditor.
Freeze periods, maintenance windows and approval gates are planned into the schedule from the first sprint. Work ships in small, independently deployable pieces behind flags, with rollback steps written before the release, not during it.
Subscriber data is personal data, and interception, retention and lawful-request handling carry their own requirements. We design systems to support the obligations in scope for your engagement, with the access controls and logs your compliance team needs to evidence them. Scope is agreed in writing before the build starts.
Usage data grows whether or not the customer base does. Aggregation, retention tiers and query paths are decided early, so the analytics bill does not become a second network cost — and so a question about last quarter can still be answered.
Platform Capabilities
Each of these has an easy version. The hard version has to agree with the network, the ledger and the customer's last bill.
Health, capacity and anomaly alerting with correlation, so one failed link produces one actionable alarm instead of four hundred — and so the dashboard an engineer opens at three in the morning shows the affected service, not only the affected device.
Usage rated against the tariff in force at the time of the event, with proration for mid-cycle changes, bundle and allowance handling, adjustments, and a rerun path for the month a rate was loaded wrong.
One view of where an order actually is across every system it touches, with fallout queues an operations team can work — because most activation problems are not failures, they are orders stuck waiting on something nobody is watching.
Scoring on live traffic for the patterns that cost real money — subscription fraud, unusual roaming, artificially inflated traffic — plus reconciliation between what the network carried and what was ultimately billed.
Collection, deduplication and enrichment of event records at the rate the network produces them, with retention tiers and aggregations chosen so the common questions stay cheap and the rare ones stay possible.
Agents see the customer's plan, usage, open orders and current incidents in one place. During an outage the app says what is wrong and what is being done, rather than failing silently and sending everyone to the call centre at once.
Frequently Asked Questions
The problem, who it's for, and where you are now. That's enough for us to come back with something useful.
hello@aryavos.com
HQ
Noida, India & New York, USA
What happens after you send it
A developer reads it, not an auto-responder. Expect questions about scope and constraints first, then a suggested way to start.
