Telecom AI solutions that turn device telemetry into decisions
We build AI solutions for telecom operators, tower companies and managed network providers: telemetry platforms that ingest SNMP, syslog and MQTT from thousands of sites, anomaly detection that finds the fault before the customer does, and triage assistants that draft the ticket. We also plan the post-quantum migration operators will be asked to lead.
Network teams drown in telemetry and still miss the fault
An operator collects millions of counters, traps and log lines an hour from radios, routers, power systems and cooling across sites it rarely visits. Most of it is never read. Alert storms hide the event that matters, configuration drift goes unnoticed until an outage, and the NOC spends the first 20 minutes of every incident working out what changed. Telecom network analytics AI is useful only on a telemetry platform that can keep up.
Where we deliver: in Saudi Arabia, for operators and towercos under CST licensing, NCA ECC-2:2024 and the SDAIA PDPL; in UAE, under TDRA regulation, UAE PDPL and the National Encryption Policy of November 2025; in India, under TRAI and Department of Telecommunications rules, the DPDP Act 2023 and the February 2026 DST quantum-safe roadmap that names telecom as a critical sector; and in United States, aligned to the NIST Cybersecurity Framework and the CNSA 2.0 timeline for carriers serving federal customers. Our offices are on the locations page.
Six telecom workflows, from the SNMP trap to the closed ticket
Each card is a workflow we have engineered on a monitoring platform built for distributed GCC sites.
SNMP and network device telemetry ingestion
Telegraf collectors, EMQX for MQTT, Zabbix proxies at the edge and TimescaleDB for storage, so counters, traps and syslog from every site land in one time-series platform with retention you control.
Learn more →02Anomaly and fault pattern detection
Per-device baselines for throughput, error rates, power and temperature, with models that flag deviation and correlate across sites so a regional fiber cut appears once, not 400 times.
Learn more →Network operations dashboards
Grafana views by region, technology and service, built on one governed data layer so engineering, field operations and management read the same availability number.
Incident triage assistance
A retrieval-grounded assistant reads the alert, recent configuration changes, past incidents and runbooks, then drafts a triage note and a proposed first action. An engineer approves every action. See agentic process automation.
Configuration and inventory analytics
Device configurations, firmware versions and the cryptographic inventory of every management and transport interface, compared against golden templates so drift and quantum-vulnerable algorithms surface together.
Edge-based local network monitoring
Monitoring and first-line analytics on site gateways for locations with poor backhaul, buffering locally and syncing when the link returns, so a remote tower is observed even when unreachable.
Learn more →Streaming data engineering, AIOps and post-quantum cryptography for telecom operators
Our telecom work combines streaming data engineering, network APIs, edge analytics and AI-assisted operations with a security practice that already handles SSH hardening on RHEL estates and GKE observability with Prometheus and Grafana. The people who build your telemetry platform can tell you which of its TLS, IPsec and SSH configurations must move to ML-KEM and ML-DSA.
The PQC timeline matters for operators more than most. NIST's draft IR 8547 deprecates RSA-2048 and P-256 after 2030 and disallows them after 2035, and India's DST roadmap asks critical sectors including telecom to begin PQC implementation by 2027. Our post-quantum cryptography service covers the inventory, crypto-agility design and migration plan.
A worked example: from alert storms to assisted triage across a region
Suppose a tower operator's NOC receives thousands of alerts a night and misses power failures at remote sites. Here is how that becomes a telemetry platform with correlated anomalies and a triage assistant.
- 01
Quantify the alert problem
Alerts per night, share acted on, time to identify the root site and missed power events are counted for one region, which becomes the pilot.
- 02
Map devices and interfaces
Device types, SNMP versions, syslog formats, power controllers and backhaul quality per site are inventoried, along with management interfaces and their cryptographic settings.
- 03
Define detection and triage targets
Alert reduction through correlation, detection latency for power events, time to first triage note and false-positive budget, with the baseline from the last quarter.
- 04
Prototype the pipeline on live telemetry
Collectors and Zabbix proxies feed TimescaleDB for one region. Baselines and cross-site correlation run on real traffic for four weeks alongside existing NOC tools.
- 05
Validate security and access
Collector credentials, network segmentation, log retention and assistant access to runbooks are reviewed against NCA ECC-2:2024, TDRA requirements or the DPDP Act 2023 as applicable.
- 06
Integrate with the NOC
Correlated incidents open tickets automatically, the triage assistant attaches its draft and proposed action, and Grafana dashboards replace the regional spreadsheets.
- 07
Monitor and extend
Alert volume, detection latency and engineer acceptance of triage drafts are reviewed monthly. Regions are added once the first holds its numbers through a storm season.
How value is measured in a network operations center
Success is counted in alert accuracy, detection latency, triage time, telemetry completeness per site and service availability. The baseline comes from your NOC records before go-live, and we test through a regional power outage, a backhaul failure and a firmware rollout. If a device class produces telemetry too sparse to baseline, we recommend a collector or firmware change rather than a model that guesses.
Governance for critical infrastructure and the coming cryptographic migration
Telecom networks are critical national infrastructure in every market we serve, so platforms are built with segmented collector networks, least-privilege credentials, immutable logs and no automated change without an engineer's approval.
By market: CST licensing conditions, NCA ECC-2:2024 and the SDAIA PDPL in Saudi Arabia; TDRA regulation, UAE PDPL and UAE Information Assurance standard in UAE; TRAI and DoT security conditions, CERT-In directions and the DPDP Act 2023 in India; and the NIST Cybersecurity Framework, FIPS 203 and 204 and CNSA 2.0 in United States. The cryptographic inventory built during monitoring work doubles as the starting point for PQC for telecom operators.
Why operators and towercos work with Constient
Because we have built an infrastructure monitoring platform for distributed GCC sites with Telegraf, EMQX, TimescaleDB and Zabbix proxies, run multi-environment GKE observability and load-tested platforms to 200,000 concurrent users. That is the engineering AIOps for telecom needs underneath the models.
Our quantum practice is research-led. No operator deployment exists yet to point to, so the proof is in the method and the standards we align to. What we offer operators now is a cryptographic inventory, a risk assessment and a migration plan built on published NIST standards and your regulator's dates.
Frequently asked questions
How does a telecom AI engagement with Constient start?
With a discovery session on one region or one problem: alert volume, missed power events or triage time. We inventory device types and interfaces, confirm collector placement and network access, and scope a fixed-price pilot that runs alongside your existing NOC tools. The baseline comes from your own incident records.
Can your platform work with our existing NMS, Zabbix or vendor tools?
Yes. We ingest from existing Zabbix, SNMP managers and vendor element managers rather than replacing them, and push correlated incidents into your ticketing system. Where a vendor tool exposes no API, we read its exports or database replica. Replacing a legacy NMS is a separate decision, not a condition of the work.
Does network or customer data leave our country?
No. Collectors, storage and analytics run in your data centers or in-country cloud tenant, which is a licensing condition in Saudi Arabia, UAE and India. Model training happens inside that boundary. Customer records from CDRs or support systems are handled under the SDAIA PDPL, UAE PDPL or the DPDP Act 2023, and data flows are documented for your regulator.
When should a telecom operator start post-quantum planning?
Now, because the inventory takes longest. India's DST roadmap asks critical sectors including telecom to begin PQC implementation by 2027, UAE National Encryption Policy already requires cryptographic inventories and transition plans, and NIST deprecates RSA-2048 after 2030. We begin with a cryptographic bill of materials for management, transport and customer-facing interfaces, then rank by exposure and plan hybrid migration.
How is telecom monitoring and AIOps work priced?
Discovery and the regional pilot are fixed price. Platform build and rollout across regions is a fixed-price project with a support agreement or a dedicated engineering team billed monthly, depending on site count and how many regions are added per quarter. Cryptographic inventory and risk assessment are scoped by number of systems and delivered as fixed-price packages.
Build a telecom technology roadmap starting with one region
Bring the alert storm, the missed outage or the regulator's PQC letter. We will inventory the sites and interfaces and propose a bounded pilot.