T7 builds AI systems for telecom operators and CPaaS platforms — network anomaly detection, self-service copilots, churn prediction and communications fraud analytics.
Telecom generates more data per second than almost any other industry — and most of it is discarded. T7 Solution ships AI that turns network, billing and interaction data into anomaly alerts, retention actions and fraud blocks.
We work with tier-1 and tier-2 operators, MVNOs and CPaaS platforms. Deployments run alongside your OSS/BSS stack with carrier-grade SLAs.
Every fraud and churn score comes with a reason code operators and regulators can defend.
Legacy NMS tools produce more alarms than humans can triage — real incidents get lost.
IVR and app self-service cap at 30–40% deflection; the rest floods call centres.
Churn signals are known too late — retention offers arrive after port-out is filed.
SIM-swap and IRSF fraud hits in seconds; batch fraud checks don't cut it.
Real-time detection of degradation, congestion and outages across RAN and core.
Voice + chat + WhatsApp agents that handle plan changes, top-ups and troubleshooting.
Score subscribers by churn risk and route retention offers ahead of port-out.
SIM-swap, IRSF and identity-fraud scoring in real time.
Production ML for forecasting, churn, risk and pricing — trained on your data.
Explore serviceHuman-sounding AI voice agents for inbound and outbound calls at scale.
Explore serviceCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceExplore how T7 Solution delivers telecom AI locally — with on-site discovery, compliance patterns and language coverage tuned to each market.
Yes — on-prem, private cloud or telco-cloud (Nephio, OpenStack). Data doesn't have to leave the operator boundary.
Sub-100ms scoring end-to-end on standard fraud pipelines; we've shipped <50ms on tuned SIM-swap detection.
Yes — Netcracker, Amdocs, Ericsson OSS and homegrown BSS are all supported via standard interfaces.
Yes — Indic and regional languages on voice/chat, tuned for telecom-specific vocabulary.
Use cases, insights and comparisons chosen for telecom teams evaluating AI.
Real-time fraud scoring across payments, claims and identity.
Deflect 60%+ of tier-1 tickets without hurting CSAT.
Qualify, score and book inbound leads in under 5 minutes, 24/7.
A field report on where AI is really deployed in banks, insurers and NBFCs — and where it's still theatre.
LLMs are not always the right tool. A decision framework — with real cost-per-inference numbers — for choosing between generative and classical ML in enterprise workloads.
Text-based chatbots vs voice AI agents — which channel fits your workflow?
OpenAI Whisper vs Deepgram for production speech-to-text
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.